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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: Crusoe is seeking an Inventory Controls Specialist to manage the full lifecycle of hardware assets—from receiving and auditing to deployment and decommissioning—across our AI-optimized data centers. This role ensures accurate inventory tracking, enables efficient server builds, and supports day-to-day operations with a high degree of precision and process adherence. What You'll Be Working On: Track and maintain inventory of hardware assets (servers, GPUs, networking gear) using asset management tools and best practices Receive and audit incoming shipments; verify equipment and report discrepancies or damage Manage the lifecycle of all hardware from staging and testing through deployment and decommissioning Monitor and replenish critical spare parts inventory to support timely repairs and build readiness Coordinate inter-site shipments and vendor returns, ensuring correct labeling, documentation, and tracking Manage Return Merchandise Authorization (RMA) process, including ticketing and vendor communication Collaborate with deployment technicians and data center staff to support active operations Document inventory-related standard operating procedures (SOPs) and contribute to process improvements Lift and move equipment up to 50 lbs in a data center environment Must be able to pass a background check. What You'll Bring to the Team: 3+ years of experience in inventory control, logistics, or asset management, ideally in a data center environment Familiarity with server, GPU, and networking hardware Experience using inventory systems, barcoding, and tracking tools Strong organizational skills and attention to detail Associate’s degree or equivalent experience in IT, logistics, or supply chain Excellent communication skills and ability to follow established procedures Bonus Points: Experience with liquid-cooled infrastructure Scripting or automation knowledge (Python, Bash) Background in high-performance computing (HPC) environments Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of up to $73,000 - $81,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

We are hiring for a data scientist to work on our core consumer product. As an early member of the Data Science team, you will play a pivotal role in shaping the direction of our product and company. This is an opportunity to join a fast-growing startup and help define the data science function. You will have the chance to contribute to our mission to be the world's most knowledge-centric company by reshaping the future of search and technology. Responsibilities Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption Come up with hypotheses and validate them by designing, running, and analyzing A/B tests Figure out the right metrics and visualizations to track and implement them in dashboards, from features to company-wide Work closely with other functions, such as engineering, product, growth, design, and user research. Build tables to make analysis more efficient and make data more accessible Qualifications 6-8+ years of experience working as a data scientist or related role Have worked at a fast-growing company working on consumer and/or growth SQL expert Extensive A/B testing experience Extensive experience building dashboards using BI tools (ex: Omni, Mode, Hex, Looker or similar tools) Self-starter and take ownership of your work end-to-end Comfortable with open-ended problems Some experience with data modeling Preferred Qualifications Experience with dbt Comfortable with Python Experience with Snowflake (especially as an admin) Experience as one of the first data scientists at an early/growth stage company Data engineering and/or analytics engineering experience ML experience

Data Scientist / Senior AI Machine Learning Research EngineerJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: Top SecretEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental USAnticipated Posting End: 1/1/2100 The Opportunity: CACI has an exciting new opportunity for a Senior AI and Machine Learning Research Engineer. Apply machine learning, statistics, to develop algorithms to solve challenging problems, signal processing, and computer networking domains. In this role, you'll leverage your strong foundation in machine learning, data science, and signal processing to solve complex challenges in the RF domain. Responsibilities: 1. Strong mathematical foundation in statistics, linear algebra, and calculus with demonstrated ability to understand and implement machine learning algorithms from first principles rather than solely relying on pre-built libraries. 2. Proficiency in designing and building data pipelines, including experience with ETL processes, data warehousing solutions, and optimizing workflows for large-scale data processing. 3. Hands-on experience with cloud-based infrastructure (e.g., AWS, Azure, GCP) for deploying ML solutions, including containerization, orchestration, and CI/CD pipelines for model deployment. 4. Programming expertise in Python and SQL, with experience using data engineering frameworks (e.g., Spark, Airflow) and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). 5. Demonstrated experience in establishing ML governance practices, including version control for datasets and models, experiment tracking, model monitoring, and implementing reproducible research principles. Qualifications: Required: Master’s degree in quantitative field with mathematical underpinnings and at least 4 years’ experience. Experience developing models,. Strong background in machine learning, mathematics and statistics. Comfortable using Linux operating systems and commonly used Linux utilities. Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract Must have active Top Secret Clearance. Desired: Ph.D. in computer science, computer engineering, or machine learning, Statistics, applied mathematics or Physics. Experience applying machine learning to signal processing and/or other time-series data analysis applications. Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests. Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance. Active Top Secret/SCI clearance preferred. - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $98,500-$206,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. 2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. 3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. 6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities. 8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes 4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment 5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications: 1. Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. Previous experience in the banking or fin-tech industry OTHER JOB REQUIREMENTS / WORKING CONDITIONS Sitting Constantly (More than 50% of the time) Visual / Audio / Speaking Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel Minimal and up to 10% General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site . Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology. What you’ll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder. What you’ll be responsible for: As a Data Analyst at Circle, you’ll work closely with business partners to better understand our products, better understand the ecosystem, and enable better decision-making with data. We are a passionate team with a deeply analytical approach and your work will support our mission to be a world-class company driven by data. One of our big bets is on payments. We’ve announced our Circle Payment Network and are committed to building an amazing payments product onchain. If you are curious about data, enjoy deriving insights, have experience improving data insights, have experience in payments, and are motivated by impacting business, we want to hear from you. What you'll work on: Partner with the payments team by translating the business needs to design and develop core tables, build dashboards, define metrics, conduct ad hoc analyses, and do deep dive investigations to create situational awareness and derive insights Perform strategic analysis and research to identify new opportunities where business can be improved Create data visualizations to translate analytic results for broad understanding across the business Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the payments team Partner with leaders effectively employing clear and structured communication to tell a “story” focused on business insights & data Develop strategic problem-solving, quantitative analytics, and communication skills ​ What you'll bring to Circle: Bachelor’s Degree or equivalent experience in a quantitative major (Finance, Accounting, Economics, Mathematics, Engineering) Strong analytical and data skills, including top notch SQL skills. Ideally (but not necessary to apply), you will also be able to build simple pipelines to help scale yourself Good communication skills - be able partner across the organization and identify business needs and difficulties, articulate issues clearly and concisely, and present effectively in both oral and written presentations to all levels in the organization Strong business sense and the ability to work through complex and ambiguous business requirements Self-starter - an entrepreneurial spirit that thrives in a fast-paced environment, deals well with ambiguity and focuses on driving impact Prior experience with visualization using Superset, Tableau or similar BI tools Prior experience with payments, crypto, or both is highly desire ​ Senior Data Analyst (III) 4+ years of industry experience in data analytics Expert in data analyses using SQL Basic understanding of Python is an added advantage Good understanding of statistics and experience applying them to solve business problems Domain experience in one of the following areas: financial services, business banking, product analytics, marketing, crypto ecosystem, or risk analytics Lead Data Analyst (IV) 8+ years of industry experience in data analytics Expert in data analyses using SQL Deep understanding of statistics and experience applying them to solve business problems Domain expertise in one of the following areas: financial services, business banking, product analytics, marketing, developer ecosystem, or risk analytics Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $122,500 - $162,500 We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs. #LI-Remote

Frontera is reimagining how children with autism and other behavioral health needs get the care they deserve. We bring together world-class clinicians, technologists, and autism specialists to build cutting-edge AI tools that help care teams work smarter and spend more time with the children and families who need them most. Our platform is HIPAA-compliant and designed for the real-world needs of behavioral health teams - from psychologists to ABA therapists. By combining evidence-based care with powerful technology, we’re expanding access to high-quality services for families everywhere. Our Mission Frontera exists to close the care gap: every child, no matter where they live, should be able to access effective behavioral healthcare. The Role We’re looking for a Data Engineering Manager to lead the team responsible for Frontera’s foundational data model —the core system that connects product, ML, analytics, and clinical workflows. This is a hands-on technical leadership role: you’ll drive architecture, design, and implementation of data systems while managing a small but high-impact team. You’ll set the direction for how Frontera ingests, stores, and serves multimodal data —especially video and audio—while ensuring reliability, security, and scalability. You’ll work closely with engineering, ML research, and product leaders to build a unified data layer that enables faster innovation across the company. Responsibilities: Leadership & Ownership Lead a team of data engineers building and maintaining Frontera’s foundational data model and ingestion pipelines. Drive technical design and implementation for complex data initiatives, setting the example through direct contributions. Define the roadmap, priorities, and technical standards for data systems aligned with company objectives. Mentor and elevate the existing team by leading through hands-on execution and high-quality design practices. Foster a culture of reliability, collaboration, and continuous learning across engineering teams. Technical Strategy & Architecture Own the architecture and evolution of Frontera’s core data model , ensuring interoperability across ML, analytics, and product systems. Design scalable pipelines that handle video, audio, text, and structured clinical data , ensuring observability and strong data contracts. Establish schema governance and versioning strategies that support autonomy while preserving global consistency. Partner with ML research teams to operationalize data for model training, evaluation, and inference. Collaborate with the application engineering team to power downstream APIs and external integrations. Lead architectural efforts for media ingestion, event segmentation, video storage optimization , and metadata indexing. Data Quality, Governance & Compliance Implement robust observability—monitoring, alerting, and data quality metrics across all pipelines. Build processes for schema reviews, documentation, and cross-team data model alignment. Ensure compliance with HIPAA and SOC 2 standards through secure pipeline design, encryption, and access control. Design scalable access patterns for analytics, insights, and ML workflows. Qualifications: 8+ years of experience in data or backend engineering, with at least 2+ years in a lead or management capacity. Proven success designing and implementing large-scale data architectures supporting multiple domains. Strong hands-on experience with data modeling, ETL/ELT , and schema design for structured and unstructured data. Proficiency in Python and SQL; familiarity with Airflow, Spark, Kafka, dbt, or equivalent frameworks. Expertise with cloud-native data systems (AWS or GCP: S3, Redshift, BigQuery, Pub/Sub, etc.). Experience designing and operating video or media data pipelines , including encoding and indexing. Familiarity with API development and secure data exchange patterns. Understanding of compliance frameworks such as HIPAA, GDPR, or SOC 2. Experience implementing observability and operational excellence practices for data infrastructure. Bonus Points Background in healthcare, behavioral science, or other regulated data environments. Experience supporting ML workflows or feature stores. Exposure to metadata management or lineage tooling. Interest in scaling a data team and evolving foundational data systems in a fast-moving environment Why Frontera? Foundational Impact: Own the data backbone that powers every product and model at Frontera. Hands-On Leadership: Set the standard through direct technical ownership and mentorship by example. Cross-Functional Collaboration: Partner with ML, product, and clinical teams to drive innovation. Mission-Driven Work: Improve healthcare access for children and families through better data systems. We have determined a salary range for this position that takes into account several factors including experience, knowledge, education, skills, and abilities. Please note that the salary information is a general guideline and the exact salary will be determined based on the individual’s qualifications and experience, with consideration given to the factors listed above. All full time employee benefits include a stake in shared success through stock options, health benefits, 401(k) plan, and responsible PTO. Expected salary range in Denver $180,000 - $220,000 USD Why Join Us At Frontera, you’ll join a team driven by impact. We’re growing quickly, backed by leading investors, and united by a shared belief that innovation and equity can change lives. If you’re excited to build the future of pediatric healthcare, we’d love to meet you.

Capital Health is the region's leader in providing progressive, quality patient care with significant investments in our exceptional physicians, nurses and staff, as well as advanced technology. Capital Health is a five-time Magnet-Recognized health system for nursing excellence and is comprised of 2 hospitals. Capital Health Medical Group is made up of more than 250 physicians and other providers who offer primary and specialty care, as well as hospital-based services, to patients throughout the region. Capital Health recognizes that attracting the best talent is key to our strategy and success as an organization. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we can attract the best candidates. Scheduled Weekly Hours: 40 Position Overview Summary (Basic Purpose of the Job): The Director of Enterprise Data & Analytics will lead the transformation of the organization into a data-driven enterprise by developing and executing an enterprise-wide analytics strategy. This individual will oversee the integration of data from diverse sources, including EHR, ERP, and operational systems, to deliver meaningful insights that drive clinical, operational, and business decision-making. This role is responsible for managing a multidisciplinary team of data engineers, BI developers, and data analysts while fostering collaboration across departments to align analytics initiatives with organizational priorities. Reporting to the Chief Information Officer (CIO), the Director will ensure the effective utilization of data to support innovation, enhance performance, and promote a culture of informed decision-making. Minimum Requirements: Education: Bachelor’s degree in Data Science , Computer Science, Information Systems, or a related field is . Master’s degree in Data Analytics, Business Administration, Healthcare Informatics, or related fields is preferred. Experience: 7-10 years of experience in data analytics, business intelligence, or related fields, including at least 5 years in a leadership role. Proven experience in managing cross-functional teams and delivering enterprise-scale analytics solutions. Healthcare experience with knowledge of EHR systems, ERP platforms, and operational data sources is highly desirable. Knowledge and Skills: Expertise in data integration, governance, and analytics tools (e.g., SQL, Tableau, Power BI, Python, R). Strong understanding of data modeling, warehousing, and visualization techniques. Familiarity with healthcare operations, clinical workflows, ERP systems, and regulatory requirements such as HIPAA. Ability to lead organizational transformation, foster innovation, and promote a data -driven culture. Excellent interpersonal, communication, and influencing skills with a strategic mindset. Other Credentials: Certifications such as Certified Analytics Professional (CAP), or relevant data and project management certifications are a plus. Essential Functions: Strategic Leadership: Develop and implement a comprehensive enterprise analytics strategy that integrates data from EHR, ERP, and other key systems. Oversee the design and execution of analytics initiatives that support clinical, operational, and financial decision-making. Identify opportunities to leverage advanced analytics, including AI and machine learning, to drive innovation. Team Leadership and Development: Manage a multidisciplinary team of data engineers, BI developers, and data analysts, promoting collaboration and alignment. Mentor team members to foster professional growth and technical expertise . Establish a dual reporting structure for data analysts in operations, ensuring alignment with IT and operational goals. Data Integration and Analytics Operations: Lead the development and maintenance of data pipelines and platforms to support real-time, predictive, and prescriptive analytics. Ensure data quality, security, and compliance through robust governance and standardized processes. Collaborate with IT infrastructure teams to optimize data storage, processing, and accessibility. Insights and Decision Support: Oversee the creation of advanced analytics tools, including dashboards, reports, and predictive models, to deliver actionable insights. Partner with clinical, operational, and financial leaders to identify opportunities for improvement through data-driven strategies. Foster innovation by introducing tools and processes that simplify data access and empower end-users. Collaboration and Stakeholder Engagement: Act as a bridge between IT and operational teams to ensure analytics deliverables meet organizational needs. Promote a culture of data literacy, enabling leaders across the organization to make informed decisions confidently. Governance and Compliance: Implement and enforce data governance policies to maintain data security, privacy, and compliance. Monitor emerging technologies and best practices to ensure the organization remains at the forefront of analytics innovation. Additional Responsibilities: Provide regular updates to executive leadership on analytics initiatives and their impact on organizational performance. Participate in strategic planning, budgeting, and resource allocation for the analytics function. Establish metrics to evaluate the success and impact of analytics programs and initiatives. This position is eligible for the following benefits: Medical Plan Prescription drug coverage & In-House Employee Pharmacy Dental Plan Vision Plan Flexible Spending Account (FSA) - Healthcare FSA - Dependent Care FSA Retirement Savings and Investment Plan Basic Group Term Life and Accidental Death & Dismemberment (AD&D) Insurance Supplemental Group Term Life & Accidental Death & Dismemberment Insurance Disability Benefits – Long Term Disability (LTD) Disability Benefits – Short Term Disability (STD) Employee Assistance Program Commuter Transit Commuter Parking Supplemental Life Insurance - Voluntary Life Spouse - Voluntary Life Employee - Voluntary Life Child Voluntary Legal Services Voluntary Accident, Critical Illness and Hospital Indemnity Insurance Voluntary Identity Theft Insurance Voluntary Pet Insurance Paid Time-Off Program The pay range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining base salary and/or rate, several factors may be considered including, but not limited to location, years of relevant experience, education, credentials, negotiated contracts, budget, market data, and internal equity. Bonus and/or incentive eligibility are determined by role and level. The salary applies specifically to the position being advertised and does not include potential bonuses, incentive compensation, differential pay or other forms of compensation, compensation allowance, or benefits health or welfare. Actual total compensation may vary based on factors such as experience, skills, qualifications, and other relevant criteria.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence at our Data Center locations 5 days per week; This role will require up to 50% Travel. The Role The Data Center Deployment Logistics Technician plays a critical role in Lambda’s hardware supply chain and data center operations. You’ll manage the flow of equipment from procurement to deployment, ensure accurate inventory tracking, up to date receiving, and handle RMA (Return Merchandise Authorization) processes for defective hardware. You’ll work closely with the Infrastructure Deployment team, Data Center Operations, RMA team, and Supply Chain teams to make sure hardware moves efficiently through Lambda’s global deployment pipeline — from warehouse to rack.You’ll also develop and utilize your technical understanding of AI Infrastructure to aid in building AI Clusters at scale and act as a primary point of contact for deployment data and data center inventory. What You’ll Do Inventory & Asset Management Maintain accurate inventory tracking for servers, GPUs, networking gear, and components across warehouses and data centers. Receive, inspect, and record incoming shipments; verify accuracy against purchase orders and BOMs. Organize and label assets according to Lambda’s tracking standards. Use ERP and asset management tools to track inventory movement and deployment status. Perform periodic cycle counts and audits to ensure data integrity. Deployment Logistics Coordinate hardware staging, kitting, shipment, and receiving for large-scale AI infrastructure deployments. Partner with the infrastructure deployment team to ensure all components are available and prepped before installation. Act is the primary point of contact for material availability and staging at the data center. Assist in rack integration, cabling preparation, and packaging for outbound shipments to data centers or customer sites. Work with logistics partners to ensure timely, damage-free deliveries and returns. RMA & Hardware Lifecycle Support Manage the RMA process for defective or failed components. Initiate RMA requests with vendors and OEMs, track replacements, and ensure proper documentation and labeling. Maintain records of all hardware failures, replacements, and vendor communications. Support root cause analysis by providing accurate component and failure data to engineering teams. Ensure returned or repaired hardware is reintegrated into inventory accurately. Process Improvement & Collaboration Identify bottlenecks in the hardware logistics workflow and propose process improvements. Collaborate cross-functionally with procurement, deployment, and engineering teams to forecast demand and align on delivery schedules. Maintain up-to-date documentation for logistics and RMA procedures. Uphold Lambda’s quality and operational standards in every stage of the deployment cycle. What You’ll Bring Required: 3+ years of experience in data center operations , logistics , inventory management , or supply chain coordination . Experience in or as a Data Center Technician. Strong understanding of hardware components (servers, GPUs, NICs, cabling, power systems). Experience managing RMA processes and vendor communications. Proficiency with inventory tracking systems , ERP software, or asset management tools. Excellent organizational skills and attention to detail. Ability to lift and handle data center hardware (up to 50 lbs) safely and efficiently. Strong written and verbal communication skills. Preferred: Experience in a data center or hardware integration environment . Familiarity with networking fundamentals (CCNA certification or coursework a plus). Knowledge of AI or HPC infrastructure components. Experience with warehouse operations, shipping logistics , or global supply chain coordination. Core Competencies Inventory Accuracy & Control Supply Chain Coordination RMA & Vendor Management Data Center Hardware Handling Process Optimization Attention to Detail Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Hivemapper is a decentralized global map data network built by 10s of thousands of mapping devices. High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at the edge. Data is automatically uploaded in near realtime over LTE or WiFi. Enterprise tech, mapping, auto, robotaxis, rideshare, and entertainment represent some of the customers consuming data today. APIs allow anyone to consume precisely extracted Map Features, HD map data, high-res street-level imagery, construction, and driving events for AV simulation. Tech-savvy customers develop and deploy software directly to our dashcams to get realtime data for things like change detection or visual semantic data mining. AI Fleet management tools drive value to large fleets of vehicles. Data Platform Every day, we process data from millions of KM from 10s of thousands of high resolution sensors deployed around the world. A symphony of different Sensor Fusion, ML, AI, and 3D Sensing processes are performed at the edge, feeding an AI conflation system on our processing clusters called Map AI. The Platform Engineering team is responsible for the core distributed systems, ML infrastructure, data model abstractions, and data engine that powers our data customers, consumer products, and user-facing AI technology. We strongly believe in engineering design principles around abstraction and programmability that allow us to move quickly with minimal manual interventions. Our work is fast-paced, collaborative, and data-driven. Responsibilities Drive architecture, design, implementation, and eval of our core systems and data platforms Partner across the company to ensure our systems are adaptable to emerging opportunities Help plan technical roadmaps and lead higher level technical strategy Requirements Experience building production critical systems used by >= thousands of users Deep backend experience with a large scale data platform, DB, ETL, distributed system, etc. Strong analytical skills in a relevant field like ML, math, statistics, quantitative economics, etc. Track record of deploying and maintaining large scale distributed systems Nice to Haves Experience with geospatial data, HD mapping, sensor fusion, ADAS or AV, etc. Experience managing, generating, and processing large amounts of geospatial or imagery data Experience with Spark, EMR, MapReduce, Presto, Trino, Mongo Sharding, or similar systems Experience with blockchain/web3Experience scaling products or systems at hyper-growth startups What We Offer Medical, dental and vision benefits plus FSA Family leave 401(k) program Unlimited Flex PTO Commuter benefits Paid lunch We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Applied Research Solutions is looking for a Senior Configuration Data Manager to support the Training PEO Support Directorate at WPAFB, AFB in the T-7 Advanced Pilot Training program. The Senior Configuration Data Manager will provide assistance in the application of configuration management principles to ensure consistent product performance, functionality, and physical attributes throughout its life cycle. This role is integral to ensuring products meet their requirements, design specifications, and operational needs. The candidate will assist in all stages of configuration and data management, including change management, data maintenance, audit support, and compliance with Contract Data Requirement List (CDRL) obligations. This position will play a critical role in the development and execution of audits and management processes, participating in government review and resolution of configuration management issues. Why Work with us? Applied Research Solutions (ARS) is respected as a world-class provider of technically integrated solutions as we deliver premier talent and technology across our focused markets for unparalleled, continuous mission support. Awarded a Best Places to Work nominee since 2020, ARS recognizes that without our career- driven, loyal professionals, we would not be able to deliver state-of-the-art results for our mission partners. We firmly believe that prioritizing our employees is of the upmost importance. We provide a culture where our employees are challenged to meet their career goals and aspirations, while still obtaining a work/life balance. ARS employees are motivated through our industry competitive benefits package, our awards and recognition program, and personalized attention from ARS Senior Managers. Responsibilities include: Assist in establishing and maintaining consistency of a product's performance, functional, and physical attributes throughout its lifecycle. Analyze the impacts of configuration management change processes on lifecycle sustainment. Develop and manage all CDRL requirements, ensuring proper documentation and data management. Update and maintain electronic database toolkits, ensuring accurate data tracking. Plan and implement Functional Configuration Audits (FCAs) and Physical Configuration Audits (PCAs), ensuring audit data adequacy. Participate in Government reviews, meetings, working groups, and industry teams to resolve complex configuration management issues. Assist in developing and executing the Configuration Control Board (CCB) charter, and actively participate in the CCB processes. Review program specifications for hardware and software to ensure all configuration management requirements are met. Conduct in-process reviews of engineering drawings and facilitate the assignment of nomenclature and CPIN for Configuration Items (CIs). Ensure proper marking of CIs and Computer Software CIs (CSCIs) and verify associated documentation is accurate and approved. Manage the documentation and baseline updates for controlled configurations, ensuring proper integration into the contract. Assist in reviewing Engineering Change Proposals (ECPs), Change Control Proposals (CCPs), and Requests for Deviation (RFDs) for format and content requirements. Collaborate in the resolution of discrepancies and issues between the government and contractors. Ensure consistency in configuration management practices, aligning product attributes with requirements and design. Other duties as assigned Qualifications/ Technical Experience Requirements: Must have an active Secret Clearance Must be US Citizen Experience in configuration management and data management, ideally in defense contracting (USAF or FMS). Familiarity with configuration management principles and processes, including configuration identification, change control, and status accounting. Experience with Multi-User Engineering Change Proposal Automated Review System (MEARS). Knowledge of system verification reviews, FCAs, and PCAs. Strong analytical and problem-solving skills, particularly in assessing the impact of proposed changes on sustainment and system supportability. Experience with CCB execution and tracking change proposals through various stages. Ability to interact with government and industry teams, as well as preparing reports and documentation for CCBs and audits. Proficiency in the use of electronic configuration management tools and databases. All positions at Applied Research Solutions are subject to background investigations. Employment is contingent upon successful completion of a background investigation including criminal history and identity check. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered contractors and subcontractors to employ and advance in employment qualified protected veterans.

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You’ll Be Working On: Develop Forecasting & Analysis Models: Build and deploy models for financial forecasting and product analysis to drive strategic decisions. Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency. Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development. Champion Data Quality & Infrastructure: Collaborate with internal teams on initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure. What You’ll Bring to the Team: Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling. Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures. Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively. Commitment to Quality: Show a proven track record and passion for data quality. Ownership: As an early hire on the data science team, you’ll be expected to act autonomously to drive forward analytics projects. Bonus Points (but not requirements): Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. Experience building cloud infrastructure (e.g., AWS, GCP, Azure). Experience on a growing or early-stage data team, contributing to foundational development. Benefits : Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Account Executive- CoStar Data & Analytics- Atlanta, GA Job Description Account Executive, CoStar Data & Analytics – Atlanta Who is CoStar Group? CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Why CoStar? Proven Success : 90%+ average customer renewal rate and consistent 10%+ year-over-year growth. High Rewards : Competitive base salary with uncapped commissions, exceptional benefits, and exclusive incentives like our annual President’s Club retreat at a luxury destination for top performers. Career Development : Comprehensive onboarding and training experience with a clear path for growth, where top performers enjoy long-term career advancement. Innovative Tools : Access to industry-leading products that give you a competitive edge. Role Overview As an Account Executive, you will be responsible for selling new business while managing and growing your client portfolio through the value of CoStar products. This is a consultative role that empowers you to build relationships, engage new clients, and oversee the entire sales process from start to finish. Key Responsibilities Sell New Business: Identify and pursue new business opportunities by promoting the value of our product to the commercial real estate industry and beyond. Account Management: Effectively manage and expand your portfolio of clients, ensuring ongoing satisfaction and growth tailored solutions. #1 Commercial Real Estate Brand: Develop expertise in CoStar’s products and the commercial real estate market. End-to-End Sales Process: Leverage your expertise through the full sales cycle, including prospecting, product demonstrations, closing, onboarding, training, and renewing clients. Building Relationships: Conduct in-person meetings and deliver product demos to brokers, owners, corporations, investors, and other commercial real estate professionals. Brand Ambassador: Represent CoStar at industry events and cultivate long term relationships and a professional network. Basic Qualifications 3 + years of successful B2B outside sales experience required. Bachelor’s degree from an accredited not-for-profit University or College required. A track record of commitment to prior employers. Proven track record of exceeding sales targets. Demonstration of commitment to prior employers Experienced in client management and post-sale. Candidates must possess a current and valid driver’s license. Satisfactory completion of a Driving Record/Driving Abstract check prior to start. Preferred Qualifications 5 + years of successful outside sales experience in a B2B environment selling data, research, and analytic platforms or tools, commercial real estate, financial services, business intelligence, marketing, information providers, or related experience preferred. (Client-facing experience in the commercial real estate industry is strongly preferred.) Strong consultative selling skills with a proven ability to build rapport and trust with clients. A keen interest in the commercial real estate market and a willingness to develop expertise in CoStar’s product suite. Demonstrated success in managing client portfolios and driving revenue growth. Excellent communication, negotiation, and problem-solving abilities. A results-driven mindset with a focus on customer satisfaction and market knowledge. Ideal Traits of Our Account Executives Ambitious: Thrive in a competitive, fast-paced environment and are motivated by uncapped earning potential. Adaptable: Quick to learn and apply new concepts in a constantly evolving suite of products. Engaging: Excellent communicator with a client-focused approach, tailoring information to the relevant audience. Curious : Ask insightful questions, demonstrate strong listening skills, and are eager to learn from customers and colleagues. Customer-Centric: Provide valuable insights and take ownership of client requests, managing them to a successful outcome. What’s In It For You? If you are a driven professional looking for a high-growth, high-reward career, CoStar Group offers the ideal opportunity. Be part of a best-in-class company with strong year-over-year growth that invests in your success. Enjoy a rewarding atmosphere where you can learn, excel, and grow. When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing. Sponsorship We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

About Akuna: Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models. Our Founding Partnersfirst conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore. What you’ll do as a Software Engineer on the Data Engineering team at Akuna: We are a data-driven organization, leveraging our data as a key competitive advantage essential to our success. The Akuna Data Engineering team is composed of world-class talent responsible for designing, building, and maintaining the systems, applications, and infrastructure needed to collect, store, process, manage, and query Akuna’s data assets. The Akuna Data Engineering team plays a crucial role in ensuring that trustworthy data is available, reliable, and accessible to support various data-driven initiatives within Akuna’s Quant, Trading, and Business Operations business units. In this role, you will: Work within a growing Data Engineering division supporting the strategic role of data at Akuna Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark. Mentor junior engineers in software and data engineering best practices Produce clean, well-tested, and documented code with a clear design to support mission critical applications Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack Qualities that make great candidates: BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field 5+ years of professional experience developing software applications Java/Scala experience required – Python experience a significant plus Highly motivated and willing to take ownership of high-impact projects upon arrival Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements Must possess excellent communication, analytical, and problem-solving skills Demonstrated experience working with diverse data sets and frameworks across multiple domains – financial data experience not required, but a strong plus Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role Please note that level/title will be determined upon the conclusion of the interview process. If you are a current student or recent graduate, please take a look at our Entry Level and Intern positions. In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively solve complex problems and drive Akuna forward. We want everyone to feel empowered to apply. We welcome your application and encourage you to take the first steps toward your future with us! In accordance with Illinois Equal Pay Act, the minimum base salary starts at $130,000. Exact compensation offered may vary based on many factors including, but not limited to, the candidate’s experience, qualifications, and skill set. This role is also eligible for a discretionary performance bonus as part of the total compensation package and includes a comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits. The minimum base salary herein was determined in good faith by Akuna Capital LLC.

Pariveda is a North American-based, employee-owned professional services firm. We provide strategy and technology services across industries. As a mission-driven organization and Certified B Corp, we enable our clients to imagine and do more, whether it’s making next quarter’s goals or navigating the future. From ideas to impact, we help clients get better at what they do to improve people and profits. Learn more about our mission and culture as well as our recruitment process and interview prep. Pariveda is growing in Chicago and looking to add an experienced Technical Manager to their team of leaders. We are not your average professional services firm. Change is the new normal; we face an increasingly fast-paced, ambiguous, and complex world. Our vision is to be a different kind of firm that can be the model for all organizations which seek to position themselves to react more quickly and ready to change. To realize this imperative for ourselves and our clients requires people with a unique blend of skills, competencies, character, and motivations. Are you ready to work in an environment where you are seen and understood as a whole person? Do you want to stop wondering whether you’re paid and treated equitably? Are you a critical thinker and problem “diagnoser”? Do you have the ability to connect the dots that others don’t see, pulling on threads to get to the true root of the problem? If this is you, join us on our aspirational journey to change the world. To learn more about our culture and what you can expect at Pariveda, review our Findamentals – the behaviors that show who we are. You Can Expect To: Drive your career and become a technology executive through clearly defined expectations, mentorship from Principals and Vice Presidents, and frequent opportunities for advancement Oversee small teams of Pariveda employees and manage relationships with multiple clients in a variety of industries Diagnose complex technical and business problems and implement creative solutions that leverage Pariveda’s capabilities to meet our clients’ needs Use your knowledge of design principles and frameworks to perform and manage all aspects of projects throughout the SDLC including estimation, sprint planning, requirements gathering, architecting, developing, testing, issue/risk management, change control and delivery Lead the development and delivery of IT solutions across a variety of technologies including: Custom web/mobile development, Cloud Solutions in Azure and AWS, Agentic AI, IT Strategy, change & program management, Data Driven solutions, IoT, Machine Learning, CI/CD in DevOps, and more Utilize AI strategically to enhance client solutions, incorporating AI tools to streamline development, uncover insights, and accelerate delivery while upholding and articulating responsible, ethical AI practices in collaboration with clients and stakeholders. Deliver presentations and facilitate meetings while adapting communication to varying audiences including high level stakeholders Identify needs and strengths for career progression of team members and create opportunities for development Mentor junior colleagues by providing career development goals, meeting regularly, writing and deliver semi-annual reviews, and advocating for their career advancement Support company growth by building and maintaining a strong professional network as well as contributing to the recruitment of new employees Actively represent our culture by leading and participating in efforts around continuous learning, personal and professional development, community service and team building Work within a hybrid model, sometimes at home and sometimes in the office Actively engage in our culture of continuous learning, personal and professional development, and lead community service and social gathering events Work with smart, humble, and supportive people We Look For: The successful candidate possesses the following critical qualifications: Passionate technologists with 5+ years of professional experience and a strong foundation in application development Cloud (AWS and/or Azure) certifications highly preferred Background in technical and/or management consulting Demonstrated project management experience - planning, estimation, execution, issue/risk management and resource management/allocation Experience architecting technical solutions for complex problems and delivering them to technical and non-technical audiences Experience across all phases of the SDLC and Agile software development practices Current project leadership of technical teams Enthusiastic about coaching and mentoring others helping them develop their careers Ability to become a trusted advisor by building and managing relationships with clients, colleagues, vendors, and other industry professionals Bachelor’s Degree in MIS, Computer Science, Math, Engineering or comparable experience Legally authorized to work for any company in the United States without sponsorship Pariveda Benefits Transparent and Equitable Salary. The salary range for this position is $139,100 - 153,00 annually. Actual salaries may vary based on factors including but not limited to location, experience, and performance. Comprehensive medical, dental, and vision insurance for you and your family Employer Health Savings Account (HSA) contribution 2% 401(k) match, vested immediately Company ownership through Employee Stock Ownership Plan (ESOP) Plenty of Paid Time Off – 4 weeks of vacation time, 10 holidays, 1 floating holiday Paid sabbatical after 5 years of service for Principals and above Paid parental leave & breast milk shipping costs reimbursed for work travel Employee Assistance Program (EAP), health concierge, and financial wellness tool Company paid cell phone plan and device stipend Life insurance Short-Term and Long-Term Disability Pariveda Solutions aspires that our employee diversity is representative of the markets in which we serve. Employment decisions are based solely on merit and business needs and not on race, color, religion, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, marital status, national origin, citizenship status (if authorized to work in the country where the job is located), uniform service member, military or veteran status, ancestry, age (over 40), physical or mental disability including HIV or AIDS, medical condition, genetic information, political affiliation, or any other category protected by applicable federal, provincial, or local law. Our commitment to a welcoming, inclusive environment means we embrace applicants from all backgrounds.If you feel you may need an accommodation at any stage of our interview process due to a disability, please contact the Human Resources team at careandsupport@parivedasolutions.com or +1 844-325-2729, select option 3 and then option 1 Human Resources.

About the Company Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact. The Department: Data At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we’re united by a shared mission: to unlock the full potential of Gemini’s data to drive growth, efficiency, and customer impact. The Role: Senior Data Scientist, Machine Learning (Risk) As a Senior Data Scientist focused on Machine Learning for Risk, you’ll play a key role in protecting our customers and platform. You’ll work cross-functionally with product, engineering, and operations to design and deploy models that detect, prevent, and mitigate fraud risk across Gemini’s ecosystem. You’ll own the full machine learning lifecycle from identifying fraud signals and engineering features to training, evaluating, and deploying models in production. You’ll partner with stakeholders across Trust & Safety, Exchange Growth, and Credit Card to improve risk scoring, detect new fraud patterns, and enhance our ability to distinguish bad actors from trusted customers. This is a high-impact, hands-on individual contributor role. This role is required to be in person twice a week at either our San Francisco or New York City, NY office. Responsibilities: Analyze large, complex datasets to identify key fraud indicators and engineer predictive features using internal and external data sources. Design, train, and deploy machine learning models to identify and prevent fraud, including payment fraud, account takeovers, and identity abuse. Build and maintain end-to-end data and model pipelines for risk scoring, anomaly detection, and behavioral profiling. Evaluate model performance through experiments, backtesting, and continuous monitoring to improve capture rates and reduce false positives. Stay current on emerging fraud tactics and machine learning approaches to continually evolve Gemini’s defenses. Minimum Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. 5+ years of experience (3+ years with PhD) applying data science and machine learning to financial, payments, or fraud-related problems. 1+ years of experience developing, deploying, and maintaining production-grade ML models, ideally for real-time or large-scale applications. Strong proficiency in Python and relevant modeling libraries (eg, scikit-learn, xgboost, TensorFlow, PyTorch) and SQL. Experience with data processing and model lifecycle tools such as Databricks, SageMaker, Snowflake, MLflow, or similar. Familiarity with orchestration and data pipeline frameworks (e.g., Airflow, Spark). Excellent communication skills and the ability to translate complex technical concepts into actionable insights. Preferred Qualifications: Master’s degree or equivalent experience in a quantitative field. Experience with fraud modelling, risk scoring, or anomaly detection in fintech, banking, or crypto. Familiarity with blockchain data and on-chain analytics for detecting illicit activity. Understanding of model governance, interpretability, and fairness in regulated financial contexts. It Pays to Work Here The compensation & benefits package for this role includes: Competitive starting salary A discretionary annual bonus Long-term incentive in the form of a new hire equity grant Comprehensive health plans 401K with company matching Paid Parental Leave Flexible time off Salary Range : The base salary range for this role is between $140,000 - $200,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data. In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce. At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know. #LI-PA1

WHO WE LOOK FOR An SEI-er is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation. Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions. As super-connectors, they connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations. SEI-ers have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI-er must be adaptable and comfortable with unexpected situations. SEI-ers define ambition differently. They are authentic, low-maintenance individuals who truly enjoy one another- they like to hang out with colleagues outside of work, collaborate and hold one another accountable. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family. WHAT WE DO Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces. We are actively looking for professionals in the following areas: Data Strategy Data Governance Data Modernization Advanced Analytics Data Visualization The ideal candidate’s experience may include but is not limited to the following: Have experience understanding and solving real business problems Have experience with presenting business case and strategy to the C-Suite Bring industry domain knowledge for custom data and analytics strategies Experience in designing and implementing data driven products and services Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following: Data Strategy and Governance Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements. Proven experience in transforming our clients from on-prem data platforms to the cloud. Lead data modernization initiatives that include platform, technology and tools implementation and adoption. Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management. Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes. Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment. Data Architecture and Engineering Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data Ability to design and build complex data pipelines that either stream data in Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL Experience and knowledge of data integration tools and platforms Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions Ability to design and build data models using the appropriate technics to meet business objectives In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Advanced Analytics and Data Visualizations Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done. QUALIFICATIONS Required- Alignment to our core values: Excellence, Participation, Integrity and Collaboration Hungry, Humble, Smart Demonstrated business and technology acumen Strong written and verbal communication skills Understanding and experience solving real business problems Proven track record of delivering results Experience working with and/or leading a team Ability to work across industries, roles, functions & technologies Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship) Preferred- Bachelor’s degree 8+ years professional experience Experience across our service offerings Systems Evolution, Inc. (SEI) is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law

STV is seeking a Senior Scheduler - Mission Critical/Data Centers to join our team in New Albany, OH. Responsibilities: Develop, maintain, and analyze complex CPM schedules for large Mission Critical projects, ensuring alignment with project goals and client requirements. Coordinate with project managers, design teams, and contractors to gather input and provide schedule updates and forecasts. Lead schedule risk assessments and recovery planning, identifying critical path activities and potential delays. Prepare detailed reports and visualizations for internal and client presentations, including progress tracking and earned value analysis. Support project controls functions such as change management, claims analysis, and resource loading. Qualifications: Minimum 15 years of scheduling experience, with a strong focus on large scale capital improvement programs. Proficiency in scheduling software such as Primavera P6 and Microsoft Project. In-depth understanding of construction means, methods, and sequencing, particularly in airport environments. Strong communication skills with the ability to interact effectively with clients, consultants, and contractors. Bachelor’s degree in engineering, construction management, or a related field preferred. Compensation Range: $100,226.48 - $133,635.31 Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles. STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (8 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.

Data Security Engineer This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: The data security engineer is responsible for designing, implementing, and maintaining the organization's data security. This role involves working closely with IT, DevOps, and other business units to implement and operate Data Loss Prevention and other data security programs. Responsibilities: Lead the design and deployment of enterprise data protection capabilities like DLP, encryption, SSPM, and CASB Lead the evaluation and adoption of new security tools and technologies, ensuring they are effectively integrated and managed. Manage and fine tune data security policies with the changing requirements Contribute to security policies, standards, and procedures to ensure compliance with industry best practices and regulatory requirements. Collaborate with IT and DevOps teams to integrate security into the software development lifecycle (SDLC), infrastructure as code (IaC), and cloud environments. Collaborate with data warehouse team to feed data into SIEM and long term storage solutions SME for the technical response of high-severity security incidents, coordinating efforts across multiple teams and ensuring rapid containment and resolution. Contribute to playbooks and procedures. Collaborate with key stakeholders, including IT, DevOps, legal, and compliance teams, to ensure that security initiatives align with business goals. Provide expert guidance on emerging threats, technologies, and regulatory requirements, contributing to the development of the organization's cybersecurity strategy. Education and Experience Required: Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field. Or equivalent experience. 8 years of experience in cybersecurity, with at least 5 years focused on DLP Hands-on experience with tools like Zscaler DLP, Microsoft IPG, or equivalent Strong understanding of data protection regulations (HIPPA, PCI, SOX) and enterprise compliance frameworks Required: Certified Information Systems Security Professional (CISSP), Certified Information Security Manager (CISM), or equivalent. Preferred: Certified Information Systems Professional (CISSP), or other advanced certifications relevant to cybersecurity engineering. Knowledge of the NIST 800-53, ISO 27001, and Zero Trust. Strong analytical and problem-solving skills, with the ability to assess complex security challenges and develop effective solutions. Excellent communication and leadership skills, with the ability to influence technical and non-technical stakeholders at all levels of the organization. Ability to manage multiple high-impact projects simultaneously, working effectively in a fast-paced, high-pressure environment Additional Skills: Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Bias, Business, Coaching, Creativity, Critical Thinking, Cybersecurity, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Development Methodologies, Empathy, Follow-Through, Growth Mindset, Implementation Methodologies, Infrastructure Design, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 4 more} What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #cybersecurity Job: Information Technology Job Level: TCP_04 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Annual Salary: $106,000.00 - $243,000.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

About Us Alembic solves marketing's hardest problem: proving what actually works. Our platform helps Fortune 100 companies make multimillion-dollar decisions with confidence. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more. About The Team- Data Products We're building a new division with a mandate to build the "invisible" products that make large-scale analytics run better, faster, and at lower cost. We're led by multi-founder and technologist, Craig Harper. That includes ingestion and transformation at scale, high-throughput processing and orchestration, reliability/observability layers, and cost-aware infrastructure improvements delivered as software. We'll prove value internally by first powering Alembic's own platforms then productize these capabilities for the broader market where they can stand alone as durable offerings. The goal: turn core data plumbing into opinionated, reusable products that compress time-to-insight and total cost of ownership for enterprises. About the Role- Product Manager We're looking for a Senior Product Manager to define and lead product strategy for Alembic's Data Products division. This is a high-impact founding role where you'll own the vision, roadmap, and execution for the tools and APIs that eliminate integration friction and accelerate customer time-to-value. What You'll Do Own product vision and strategy for data products that eliminate integration friction and accelerate customer time-to-value from weeks to days Conduct deep customer discovery through direct engagement with Fortune 100 companies to identify pain points and translate them into clearly scoped product requirements Partner closely with engineering to prioritize and ship SDKs, APIs, and tools-making strategic trade-offs between immediate customer needs and long-term platform scalability Define and track metrics that measure product impact: adoption rates, integration time reduction, developer satisfaction, and revenue influence Drive cross-functional alignment with GTM, engineering, operations, and leadership to ensure successful launches and rapid iteration based on customer feedback Build systematic feedback loops with customers and internal teams to continuously improve product quality and developer experience Make strategic product decisions that balance the needs of multiple stakeholders while maintaining focus on outcomes that drive business growth What Will Help You Succeed Product Management Experience 7-10 years in product management with focus on B2B/enterprise products, including at least 3 years on developer-facing or platform products Track record of defining product strategy and shipping impactful products in 0-to-1 or high-growth environments Experience working in agile/sprint-based development processes with engineering teams Demonstrated ability to balance strategic thinking with hands-on execution Technical Fluency Deep technical understanding-can engage in detailed discussions about APIs, SDKs, data models, and system architecture with engineering teams Solid grasp of data engineering fundamentals: ETL/ELT pipelines, data validation, schema evolution, data quality Understanding of what makes great developer experience and tooling Comfortable writing technical requirements, API specifications, and working closely with engineers during development Product & Business Skills Strong analytical and metrics-driven approach-experience defining KPIs and using data to inform product decisions Excellent stakeholder management across engineering, GTM, operations, and executive leadership Proven ability to conduct customer discovery and translate insights into actionable product requirements Outstanding communication skills-can explain technical concepts clearly to non-technical audiences and business concepts to engineers Nice to Have Engineering or data science background (you've written production code) Experience in marketing technology, advertising technology, or data analytics domains Startup experience, particularly in founding or very early roles (first 5-10 employees) Direct experience selling to or working with Fortune 100 enterprises Exposure to AI/ML products or infrastructure This Role Is Right for You If You're a technical PM who thrives at the intersection of deep technical complexity and customer impact-you love building products that developers love and that drive measurable business outcomes You're energized by 0-to-1 product building with significant autonomy and ownership over strategy and execution in a new, independent division You want to solve complex challenges for Fortune 100 companies making multimillion-dollar decisions while building a product portfolio from the ground up Why You Might Be Excited About Alembic Shape a new product category: Define and build data products that transform how Fortune 100 companies integrate with breakthrough marketing analytics technology-you're not just improving features, you're creating the integration layer for an entirely new approach to marketing measurement Direct growth impact: Your products directly reduce integration time and accelerate sales velocity-clear line of sight from your roadmap decisions to revenue outcomes and customer success Technical depth required: This isn't surface-level PM work-you'll engage deeply with APIs, data architecture, and complex technical trade-offs while working with elite engineers solving hard problems Autonomy and ownership: Shape strategy and execution for an independent division with its own P/L, with the freedom to define how we build and the responsibility to deliver results Startup upside with proven traction: Early-stage equity opportunity with experienced leadership, proven product-market fit, and Fortune 100 enterprise customers already using the platform Why You Might Not Be Excited You prefer consumer products or end-user features over B2B infrastructure and developer tooling that requires deep technical engagement You want established processes and a large PM team rather than building the product function from scratch as the founding PM in a new division You prefer hands-off product management over being deeply embedded with engineering teams and customers, getting into technical details daily You want predictable roadmaps over dynamic priorities that adapt based on customer feedback, market learning, and the fast pace of a hyperscaling startup