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About GeoComply We’re GeoComply! We are at the forefront of geolocation, cybersecurity, and anti-fraud innovation, developing and delivering cutting-edge technologies to help ensure regulatory compliance, combat bad online actors, alleviate user friction, and protect businesses from fraud. Achieving significant business and revenue growth over the past three years and dubbed a tech “Unicorn,” GeoComply has been trusted by leading global brands and regulators for over ten years. Our compliance-grade geolocation technology solutions are installed on over 400 million devices and analyze over 12 billion transactions a year. At the heart of it all is the people, united by a deep commitment to problem-solving and revolutionizing how people and businesses use the internet to instill confidence in every online interaction. With teams across five countries, three continents, and a global customer base, we have no plans to slow down. The Role Are you good at working with data? Do you want to build solutions to detect fraudulent activity and help protect your client's business? As a Data Science Intern, you’ll team up with our best and brightest to learn, share ideas, execute,e and create innovative solutions that directly impact the industries and communities served by our business. Key Responsibilities Using Python & Pyspark to analyze large-scale data, research new features and models to classify fraudulent activity. Build pipelines to process and aggregate data at scale to generate features for machine learning models. Analysis of graph data to generate features, propagate knowledge, and classify characteristics of connectivity. Presenting research findings to a large audience, from highly technical to business and customer-focused teams. Building services to host machine learning models, including data parsing, feature generation, integration with requisite databases, and operational features. Who You Are Educated- Working towards a degree or graduating in Computer Science, Statistics, Data Science, Electrical Engineering, or a similar field of study. Professional experience may be used in place of relevant education. Discrete- You demonstrate the ability to maintain a high level of integrity, discretion, and confidentiality of sensitive, complex information. Analytical- You have an eye for detail and have the ability to interpret data into simple, intuitive information. Detail-oriented: You have a keen eye for the little things and are comfortable working in granular details. Organized and agile: You have excellent organization, prioritization, and time management skills. You have the ability to work in a fast-paced environment to support a rapidly growing technology company. Exceptional communication skills. Whether it is written or verbal, people know what you mean, what you are asking for, and what is expected. Proficient- You are proficient in Python, SQL, MS Office (Word, Excel, and PowerPoint), and G Suite Programs (Google Docs, Google Sheets, Google Slides). Knowledgeable. Familiarity with Python libraries such as NetworkX, Pandas, Numpy, and SkLearn. Bonus Points Are familiar with multiprocessing and multithreading in Python. Have experience with large-scale graph data. Have deployed production code. Are Familiar with common SaaS applications such as Okta, Google Workspace, Slack, etc. Apply Now! Interested in joining our team? Send us your resume and a cover letter. We can’t wait to meet you! Commitment to Diversity and Equity. If you don't tick every box in this job description, please don't rule yourself out. Research suggests that women and other people in underrepresented groups tend to only apply if they meet every requirement. We focus on hiring people who value inclusion, collaboration, adaptability, courage, and integrity rather than ticking boxes, so if this resonates with you, please apply. Search Firm Representatives Please Read Carefully We do not accept unsolicited assistance from search firms for employment opportunities. All CVs or resumes submitted by search firms to any employee at our company without a valid written agreement in place for this position will be considered the sole property of our company. No fee will be paid if a candidate is hired by GeoComply due to an agency referral where no existing agreement exists with the GeoComply Talent Acquisition Team. Where agency agreements are in place, introductions must be through engagement by the GeoComply Talent Acquisition Team. Why GeoComply? Joining the GeoComply team means you’ll be part of an award-winning company to work, learn and grow. We are fast-paced, high-impact, and have a can-do team culture. To be successful in our organization, you need an eager attitude, professionalism, and the confidence to willingly work to prove yourself and your ideas, and earn the trust of the organization. Here’s why we think you’d love working with us. We’re working towards something big We’ve built a reputation as the global market leader for geolocation compliance solutions for over 10 years. We’re trusted by customers from all over the world, and the next few years will be particularly exciting as we continue to scale across new markets. Our values aren’t just a buzzword Our values are the foundation for what we as a company care about most. They signify the commitment we make to each other around how we act and what we stand for. They are our north star as we work together to build a company we’re all proud to be a part of. Learn more, here . Diversity, equity, and inclusion are at the core of who we are In collaboration with our team and external partners, we promote DEI in our recruitment and hiring practices; scholarships and financial aid; training and mentorship programs; employee benefits, and more. Learning is at the heart of our employee experience At GeoComply, we foster an environment that empowers every employee to gain the knowledge and abilities needed to perform at their very best and help our organization grow. From a professional development budget to local training opportunities, knowledge-sharing sessions and more, we are continually investing in employee career growth and development. We believe in being a force for good We profoundly care about our impact on the world and strive to make meaningful contributions to the communities we work and live in. Our Impact division focuses on philanthropic and social responsibility initiatives, including supporting our local communities, advancing equality, and harnessing our technology to protect vulnerable groups. Learn more, here . We care about our team Our GeoComply team is talented, driven and hard-working, and is known for its positive attitude and energy. At GeoComply, we take care of our employees with the total package. Team members are generously rewarded with competitive salaries, incentives, and a comprehensive benefits program. We value in-person collaboration GeoComply culture thrives on a dynamic mix of in-person energy and independent focus and we champion a hybrid work model that blends the energy of in-person collaboration with the flexibility to work from home. Our 3-day in-office policy fosters teamwork and innovation, while also recognizing the importance of individual work styles and needs. - - - - - - - - - - At GeoComply, we live our value of Act with Integrity. Our workplace is built on mutual respect and inclusion, and we welcome applicants of all backgrounds, experiences, beliefs, and identities. Creating an accessible interview experience for all candidates is important to us. If you have any requests (big or small) throughout our hiring process, please don’t hesitate to let us know so we can do our best to prioritize your needs. We care about your privacy and want you to be informed about your rights. Please read our Applicant Privacy Notice before applying for the position.

We are seeking a highly analytical and technically skilled Data Reporting & Insights Analyst to join our growing Data Intelligence team. This individual will play a critical role in designing and delivering actionable data solutions that drive transparency, efficiency, and strategy execution across our Sales and Marketing teams. This is a hands-on role that combines advanced data visualization, data engineering, and business collaboration. The ideal candidate has experience in Power BI/Tableau and SQL and thrives on transforming complex data into clear, impactful stories. Apply Now! Success in this role would be achieved by: Design, build, and maintain interactive dashboards using Power BI to visualize KPIs, trends, and business opportunities. Partner with Sales and Marketing stakeholders to define reporting needs, identify insights, and build robust KPI tracking. Ensure timely and accurate entry of trade data into the internal CRM to support sales credit and compensation processes. Use SQL to extract, clean, and merge data from disparate systems (CRM, trade data, marketing platforms, etc.). Serve as a data translator between technical systems and business teams Experience and required skill set: 3–5 years of experience in data analytics, business intelligence, or a similar function—preferably in financial services or asset management. Strong expertise in Power BI or Tableau, data modeling, and report publishing. Proficient in SQL for data extraction, transformation, and automation. Experience working with CRM systems and understanding of sales and marketing processes. Comfortable communicating with cross-functional stakeholders and presenting to non-technical audiences. Highly detail-oriented with a strong sense of accountability and a proactive mindset Supplementary Skills and Desirable Experience Experience with Salesforce or similar CRM platforms. Familiarity with trade data or working with custodians/distributors. Understanding of financial products, portfolio strategies, or ETF ecosystems. The base salary range for this position is $70,000 – $80,000. In addition, employees are eligible for an annual discretionary bonus and competitive benefits package. Total compensation may vary based on factors such as location, role, company, department, experience and individual performance. About Us: WisdomTree is a global financial innovator, offering a well-diversified suite of exchange-traded products (ETPs), models, solutions and products leveraging blockchain technology. We empower investors and consumers to shape their future and support financial professionals to better serve their clients and grow their businesses. WisdomTree is leveraging the latest financial infrastructure to create products that provide access, transparency and an enhanced user experience. Building on our heritage of innovation, we are also developing and have launched next-generation digital products, services and structures, including digital or blockchain-enabled mutual funds and tokenized assets, as well as our blockchain-native digital wallet, WisdomTree Prime® and institutional platform, WisdomTree Connect ™. * *The WisdomTree Prime digital wallet and digital asset services and WisdomTree Connect institutional platform are made available through WisdomTree Digital Movement, Inc., a federally registered money services business, state-licensed money transmitter and financial technology company (NMLS ID: 2372500) or WisdomTree Digital Trust Company, LLC, in select U.S. jurisdictions and may be limited where prohibited by law. WisdomTree Digital Trust Company, LLC is chartered as a limited purpose trust company by the New York State Department of Financial Services to engage in virtual currency business. Visit https:// www.wisdomtreeprime.com , the WisdomTree Prime mobile app or https://wisdomtreeconnect.com for more information. Work Smart: Headquartered in New York City, WisdomTree embraces a “Work Smart” philosophy that transcends physical workspace, aiming to optimize productivity, efficiency and effectiveness. Employee time in the office generally is not prescribed, and team leaders are empowered to determine how their teams work best, based on their roles, which may include in-person, in-office engagement. Mission, Vision & Values: WisdomTree is committed to delivering a better investment and financial experience through the quality of our products and solutions, and finding alignment within our community on our core values: WisdomTree employees strive for Excellence & Innovation , work with Transparency & Accountability , and show each other Fairness & Respect. We welcome the applications of qualified individuals who will support this mission and thrive in our collaborative and empowering work environment. Learn more at www.wisdomtree.com WisdomTree is proud to be an Equal Opportunity Employer, committed to diversity and consideration of all applicants and existing employees for all positions, and we evaluate qualified applicants without regard to race, color, religion, creed, sex, gender, age, national origin or ancestry, ethnicity, physical or mental disability, veteran status, marital status, sexual orientation, pregnancy, citizenship status, genetic information, or any other status or condition protected by applicable law.

We're looking for a Senior Software Engineer with a focus on healthcare data and at least 5 years of general engineering experience who wants to make an impact leading our new Clinical Data team. We want to make a difference in the lives of those falling between the cracks of the current healthcare system, and could use all the help we can get reimagining last-mile healthcare delivery. *If you want to tackle tough technical challenges* , we want to talk to you. Health tech is challenging enough on its own, but add in DoorDash-style logistics problems at scale and the constraints of a distributed labor force working in patients’ homes and things get interesting quickly. We need someone to help solve the hard problems like how to: 🔍 Uncover care gaps and predict future risk with deep analysis of patient records 📝 Synthesize rich, pre-visit clinical summaries for our NPs using LLMs over past patient records 📊 Harmonize reporting of engagement and in-home visits for millions of patients across the largest US health plans 🤖 Detect and prevent medical data errors with automated validation and anomaly detection 🏗️ Build Sprinter’s data warehouse from the ground up to unify vast clinical, operational and logistics data If any of these sound interesting, Sprinter could be the right place for you. This is your chance to build something truly 0 to 1 at a company with meteoric growth. Since just 2021, we've grown to: 👥 >50k patients served 🚀 6x revenue growth last year, 5x the year before 🌍 >60% coverage of the US population 🏥 6 of the 10 largest US health plans 🏦 >$70M raised from a16z, General Catalyst, GV, and Accel *If you want to grow faster than you ever could at a big company* , we want to talk to you. If you're a fellow industry veteran looking to get in at the ground floor of something big, taking on radically larger scope and growing with the company, the best way to do so is with real responsibility to make real decisions. As one of the lead engineers at Sprinter, you'll have that while working alongside other engineers and product managers from the likes of Google, Meta, and Amazon. With industry-leading growth to date and plenty of room still to grow, getting in now is a recipe for success. *If you want to make a difference* , we want to talk to you. Jeffrey Hammerbacher was right: "The best minds of my generation are thinking about how to make people click ads. That sucks." I've done the Google and Facebook thing for a decade. Was it personally rewarding? Absolutely. But now I want to do something more directly for others, which is why I started this company. If any of this sounds like something you'd want to be a part of, just let me know. I'd really love to chat. Cameron, Co-founder / CTO Software Engineering & Data Integration Full-stack experience, backend-focused. Proficiency in Python or JavaScript/TypeScript (Preferred). Third-party data integration: Normalization, standardization, and harmonization of inbound data; outbound translation to customer-specific formats. Data Systems & Databases Experience with BigQuery, DBT, Airflow, AWS Glue, or similar ETL/ELT tools. Scalable & high-performance data systems: Designing, building, and optimizing data architecture, queries, pipelines, and integrations. Observability: Monitoring & alerting best practices. Database expertise: Relational, key-value, columnar, document, vector, inverted index, and in-memory databases. Data warehouse schema design (Nice to have). Healthcare Data Administrative: Claims processing OR Clinical: EHR data, FHIR, HL7, C-CDA standards. Technical Leadership & People Management Technical leadership: Successfully led technical team project implementations. Mentorship & coaching: Ability to guide and develop engineers. Work delegation & execution: Breaking down and distributing tasks effectively. People management experience (Nice to have). Technologies ETL/ELT: AWS Glue, Airflow, or similar tools. Datastores: BigQuery, ELK Stack, DynamoDB, other data warehousing tech. Data exchange/integration: Mirth Connect or similar tools. The Fun Stuff™ Free lunch every day and fully-stocked micro-kitchen and coffee/tea bar Team offsites, game hours, tech talks, and design sprints Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid) Dental / vision/wellness benefits 401k matching Unlimited PTO Flexible work-from-home policy for work/life balance (3 days in-office, accommodation for occasional WFH days) Relocation assistance Generous parental leave (4 months for the birthing parent, 2 months for a partner, 100% paid) Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include equity or benefits. This is a hybrid role with a 3-day-a-week in-office requirement in Menlo Park, California. While we are flexible with occasional work from home, we've built an incredible group of people who enjoy the team environment we've created, and our engineering, product, and design organizations are all currently co-located in the Bay Area. If you are inspired by our mission and think you could have an impact on us achieving it, but currently sit outside of these role expectations, we encourage you to still get in touch.

Flow Traders is looking for a Core Data Engineer to own the end-to-end lifecycle of our most fundamental data products. As the architect and guardian of our most valuable data, you will have a unique opportunity to make your mark on Flow Traders. High-quality data products offer substantial benefits that impact every division in our firm, playing a vital role in delivering on our strategic growth initiatives. You will be accountable for delivering these data products at an exceptional level of quality, ensuring that they are not only timely and pristine, but powerful enough to drive Flow Traders’ future growth.   What you will do Be accountable for timely and high-quality delivery of core data products to the rest of the organization Develop and own the end-to-end lifecycle of these data products Define and manage project plans to assume ownership of these data products Create and refine a common data model (esp. identifiers, normalized schemas, use of master data) across these data products Investigate currently available sources of data and ensure that Flow extracts maximum information and value from them Explore, evaluate, and onboard additional sources of available data (both independently and at the request of stakeholders)   What you need to succeed Excellent programming skills (any language, Python preferred) Working proficiency with Linux, SQL and relational databases, and version control systems Demonstrated ability to work with large datasets and familiarity with big data solutions Experience with Airflow, Kafka, and GCP (esp. GKE, Dataproc, and Big Query) highly desired Experience with Pandas, Spark, Apache Beam, Apache NiFi a plus Innate drive to generalize, systematize, and automate Strong interpersonal skills, works very well with both technical and non-technical stakeholders Ability to balance individual stakeholder demands in order to preserve quality and wide applicability of data Organized and able to define, manage, and execute projects (often several in parallel) while effectively triaging operational concerns       At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities. When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set. We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company’s success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution.   The total compensation for this role includes a base of $150,000 - $200,000 plus annual discretionary variable remuneration.   Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.  

Location: Buford, GA Job Type: Full-time Job Description Responsibilities: Strictly follow the requirements of the management system, and input data into the computer system for receiving, sending and returning data every day; all accounts must be settled daily. Responsible for the transmission and classification of various documents and reports. Provide inventory information in a timely and accurate manner. Implement warehouse-related SOPs in material management to ensure the smooth flow of warehouse operations. Responsible for the acceptance, storage, inventory, and reconciliation of daily materials in the warehouse. Responsible for the storage and archiving of relevant documents. Provide warehouse data statistics, archiving, accounting and system data input. Other tasks assigned by the department head. Qualifications： Bachelor’s Degree or above; Proficient in the use of office software, familiar with WMS system is preferred; Bilingual proficiency in Chinese Mandarin and English; Extreme attention to details, teamwork oriented, strong sense of responsibility; Ability to work in a fast-paced environment with multiple priorities and tight deadlines.    About JD.com JD.com is China’s largest online retailer and its biggest overall retailer, as well as the country’s biggest Internet company by revenue. JD.com sets the standard for online shopping through its commitment to quality, authenticity, and its vast product offering covering everything from fresh food and apparel to electronics and cosmetics. Its unrivalled nationwide fulfillment network provides standard same- and next-day delivery covering a population of more than 1 billion - a level of service and speed that is unmatched globally. As a technology-driven company, JD.com builds reliable and scalable platforms that bring value to partners and customers in sectors such as e-commerce, logistics, Internet finance, cloud computing and smart technology.   About JD Logistics JD Logistics, a business group under JD.com, which leverages the company’s advanced technology and logistics expertise to provide smart supply chain and logistics services to businesses across a wide range of industries. JD.com has one of the largest fulfillment infrastructure of any e-commerce company in the world. JD.com is the only e-commerce platform in the world to provide small-to-medium sized warehousing, oversized warehousing, cross border, cold chain delivery, frozen and chilled warehousing facilities, B2B and crowdsourcing logistics. We believe technology innovation can drive smart logistics. JD built the world’s first fully-automated warehouse in Shanghai, and we are currently developing our own drones delivery and automatic delivery robots.   JD.com is an Equal Opportunity Employer. We do not discriminate in our employment decisions on the basis of race, sex, sexual orientation, gender, color, religion, age, genetic information, medical condition, disability, marital status, citizenship or national origin, and military membership or veteran status, or on any other basis which would be in violation of any applicable federal, state or local law.

About Clear Street: Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.  We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.  By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets. The Team:  The FACT team is responsible for several key data products which enable Clear Street’s systems and personnel to operate with confidence and speed. These products include security and pricing master, corporate actions, and streaming market data as well as a number of other key reference datasets. The FACT team takes on the task of collecting inputs from various sources including vendors, public sources, and internal teams and organizing them into cohesive data products which serve as the authoritative source of reference data within the firm. The Role:  We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for various asset classes such as equities, options, futures, and more. You will play a key role in designing, developing, and optimizing data pipelines that handle large volumes of data with low latency and high throughput, ensuring that our systems can process and deliver market data in real time. As a Software Engineer in the FACT team, you will work closely with high-impact teams to design and implement cutting-edge solutions that support our trading, analytics, and financial data products. You will play a key role in the design and implementation of key components that support Clear Street’s continued expansion into global markets. The ideal candidate will have a strong background in building low-latency, high-throughput systems, as well as a deep understanding of financial market data structures and processes. Knowledge or direct experience working with market data feed handlers from exchanges is a significant advantage. Key Responsibilities: Design, develop, and maintain real-time data pipelines to handle financial market data with low latency and high throughput in a resilient manner. Work with various asset classes such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing. Collaborate with product, trading, and risk teams to understand requirements and deliver high-quality solutions that meet business needs. Develop efficient mechanisms for integrating market data feeds from exchanges and other sources into our systems. Troubleshoot and resolve performance issues, data discrepancies, and ensure data integrity across the pipeline. Continuously monitor the performance and health of data pipelines, identifying and mitigating potential issues before they impact system performance. Requirements: You have 5+ years of professional experience implementing low-latency, high-throughput data pipelines Solid understanding of distributed systems and the challenges involved in real-time data pipelines (e.g., data consistency, fault tolerance, scalability). Familiarity with financial market data, including security prices, and asset classes like equities, options, futures, etc. Strong familiarity with Linux/BSD Familiarity with TCP/IP and UDP (Unicast/Multicast) networking You communicate technical ideas with ease and always look to collaborate to deliver high quality products. You are a team player, with experience working effectively with other engineers toward common goals Nice To Haves: Experience with system profiling with eBPF Experience with columnar storage and database systems  Kernel bypass networking (DPDK or XDP) Provisioning and configuration of routing in the cloud or on-premise, including BGP, VPCs, network peering Experience with Aeron   FACT Team Stack: C++, Rust, Go, Java, Python, gRPC, PostgreSQL, Snowflake, Kafka, Kubernetes We offer : The opportunity to join a small and growing team of good people, where you can make a difference. A new, high-quality code base with little technical debt and room to build new services and features. An environment that embraces the utility of a DevOps oriented culture and combines it with a focus on CI/CD methodology. A meritocratic philosophy that champions collaboration. Competitive compensation, benefits, and perks. We are considering Senior or Staff-level candidates for this role. The Mid Level Base Salary Range is $140,000 - $190,000. The Senior Level Base Salary Range is $170,000 - $240,000. These ranges are representative of the starting base salaries for this role at Clear Street. Which range a candidate fits into and where a candidate falls in the range will be based on job related factors such as relevant experience, skills, and location. These ranges represent Base Salary only, which is just one element of Clear Street's total compensation. The ranges stated do not include other factors of total compensation such as bonuses or equity. At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. As such, beginning on January 2, 2023, we are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views. Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.

At Citymapper (powered by Via), we’re on a mission to help make complex cities more accessible to everyday users. Our application transports millions of people in hundreds of cities around the world by giving them access to the most current and sophisticated transportation options available. We make getting around your favourite city easy, so that you can enjoy the ride. As a Transit Data Team Lead  at Citymapper, you will be responsible for the data and the team that is the backbone of our application’s success. You’ll lead a team of highly skilled and motivated Data Analysts who form the foundation of Citymapper’s exceptional data quality. Millions of users around the world trust our application to be on time for work, a job interview, or a date - and we take great responsibility in fulfilling that need. What You'll Do: You’ll lead a team of highly skilled and motivated Data Analysts, the driving force behind Citymapper’s exceptional data quality. You will work with our Product Manager to build for scale by improving tools and automating tasks, ensuring the highest data quality for all regions You will develop and evolve new ways of measuring and improving data quality, and work with our marketing team on telling that story. You will collaborate with other teams at Citymapper, Remix and Via to facilitate product development and delivery, customer success and retention, and user growth. You will ensure data quality in our web and mobile products so that users continue to love and trust Citymapper. Who You Are: A generalist with at least 4 years of experience to guide you – preferably as a technical/operations manager or team lead in a fast-paced, product-oriented company You have a proven track record of managing teams with exceptional attention to detail and a strong ability to uphold high standards across your team. A leader who builds and motivates high-performing teams through mentorship, clear goal-setting, and fostering a culture of continuous improvement You are comfortable dealing with large datasets and skilled at translating them into actionable insights that drive business decisions You excel at communicating complex technical concepts to both technical and non-technical audiences Fluency in English is a must (other languages considered a huge plus) What Catches Our Eye: While not required, it would be a definite plus: Experience working with Python, and/or common transit data formats (GTFS, TransXChange, Siri, Hafas, etc). A passion for public transportation and cities, and an interest in how public transportation networks operate. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $85,000-$115,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We pioneered the TransitTech category to ensure that the future of transportation is shared, dynamic public mobility — the kind that reduces carbon emissions across congested cities, minimizes reliance on private cars, and provides everyone with accessible, efficient, and affordable ways of getting around.  We created the first end-to-end TransitTech solution for cities and transit agencies, offering world-class software, service design, and operational expertise to fundamentally improve the way the world moves. Via was founded with the guiding principle that we go further when we go together. We are dedicated to building a diverse, inclusive and authentic workplace. 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. All backgrounds, identities, and voices are welcomed and celebrated at Via. Ready to join the ride?  Via is an equal opportunity employer. #LI-RB1

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.  Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age’s Data & Insights Agency of the year for the second year in a row . Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: We seek a skilled Data Engineer to join our data team and drive the development and maintenance of robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. This role is critical in ensuring our organization has a reliable, scalable, and efficient data infrastructure to support data-driven decision making across marketing and business operations. WHAT YOU’LL DO Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues Support automated reporting solutions using Python Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes Ensure data warehouse scalability, performance optimization, and cost efficiency Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks WHO YOU ARE AND WHAT YOU HAVE 2-5 years of experience in data engineering or related roles Highly proficient with Python, SqlAlchemy, Alembic, Pytest,  Experience with SQL and relational databases such as Postgres Experience with database design and optimization Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.) Experience with deploying data pipelines in Python Experience with Git, GitHub, or other version control tools USEFUL EXPERIENCE Experience with containerized architecture (Docker, Kubernetes, Argo Workflows) Experience with DevOps practices and CI/CD (GitHub Actions) Experience with data warehouses (Snowflake) Experience with cloud infrastructure (AWS) Experience with data visualization tools (Marketing Cloud Intelligence) Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $110K - $135K.             This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

We are looking for a freelance Data Strategy Director to support a key creative and media client here at Deutsch. WHAT YOU’D DO Work closely with media planning, paid social, social strategy, and content strategy teams to define KPIs and key metrics to develop measurement plans and test & learn plans Interpret and analyze marketing data from a variety of sources: paid media campaigns, site analytics, social listening, etc.. Partner with cross-functional teams to define business questions, identify data sources, interpret trends and patterns in data to drive marketing strategies Provide internal and external teams with deep and actionable audience, creative and platform insights Translate data analyses into clear and understandable conclusions and recommendations for non-technical stakeholders Present analysis and reports to clients and internal stake holders Work daily with: Excel, PowerPoint, social media platforms, web analytics, python-based reporting framework etc.,     WHAT YOU’VE GOT 8+ years experience in marketing analytics, media analytics, or consulting preferred 2+ years of proven managerial or supervisory experience of a data analytics team Strong understanding of digital & social marketing, web analytics, and business analysis Strong analytics skills, enjoys numbers and using data to solve business problems Strong communication and presentation skills: written, verbal and in PowerPoint presentations Experience with reporting and data visualization tools (e.g. Tableau, Google Data Studio) Experience with social and web analytics for both reporting and tag/pixel implementation: Google Analytics, Adobe Analytics, Google/Adobe Tag manager, social audience insights, etc. Experience with analytical programming languages: Python preferred (pandas/anaconda), R, SPSS, SAS as well as Git for source control Experience with social listening and social media management tools; Crimson Hexagon, Sprinklr, etc.   WHAT WE’VE GOT (that you can’t find out on the internet) We’re nice people.  Seriously.  Some of the most ego-less and collaborative people you’ll find in this business. We don’t work in silos. We thrive on collaboration, both internally and externally. We’re always looking to learn. From our peers, from the competitors, and from our clients, we’re always looking for what’s coming next. The hourly rate for this New York based position is $90.00-$100.00. Approx. 20 hrs/week.   WHAT WE’VE GOT (that you can’t find out on the internet): We’re nice people. Seriously. Some of the most ego-less and collaborative people you’ll find in this business. We don’t work in silos. We thrive on collaboration, both internally and externally. We’re always looking to learn. From our peers, from the competitors, and from our clients, we’re always looking for what’s coming next. We take our work seriously but believe weekends, vacations and thinking space outside the office make you  better at your job, not worse. Base salary range for this role:  *If you are a California resident, your application submission is subject to the  California Privacy Notice Deutsch is an equal opportunity employer.  All qualified applicants will receive consideration for the position without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description We are looking for a Data Engineer who specializes in managing and optimizing data pipelines, with a specific focus on AI/ML data and applications. The ideal candidate will have experience in designing and implementing data infrastructure, ensuring high-quality labeled datasets, and collaborating with cross-functional teams to support our computer vision initiatives. Responsibilities  Manage data releases, tracking data provenance, evaluating data quality, providing data insight reporting. Contribute to  scalable data and labeling pipelines for computer vision projects. Manage and optimize data storage solutions to ensure efficient data retrieval and processing. Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to project timelines. Collaborate with machine learning engineers and other data/infrastructure engineers to understand data requirements and ensure the availability of high-quality labeled datasets. Stretch: Develop and maintain tools and processes for data labeling, including annotation workflows, quality control, and validation procedure. Requirements Bachelor’s in Computer Science, Data Engineering, and 2+ years of experience in a related field. Strong Python and SQL; Good software development fundamentals a must. Experience as a Data Engineer, working with data pipelines.  Proficiency with: Data modeling ETL processes and data pipeline operations  OLTP databases (e.g. Postgresql) OLAP databases (e.g. ClickHouse) Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work effectively in a collaborative team environment. Strong Plus Experience with evaluation of ML models. Experience developing evaluation frameworks.  Nice to have Bonus points for experience with: Data pipelines for computer vision applications. Data labeling. Workflow orchestration tools, particularly Dagster. Distributed computing frameworks (Apache Spark, Dask). Containerization technologies (e.g. Docker). Job scheduling systems (e.g. Slurm). Compensation: The estimated salary range for this position is $124,227 to $157,001 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more. Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.  Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements All job offers at Acubed are contingent upon the candidate passing references, background and export control checks. * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.  

WAYFINDER Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution. The Opportunity/Role Description As Wayfinder's Senior AI Engineer (Computer Vision, Data Quality), you will be pivotal in driving the performance of our AI systems, reporting to the Manager of AI Algorithms. You will take ownership of critical data pipelines, spearheading efforts to enhance data quality, understanding, and efficiency, including the development and implementation of advanced auto-labeling solutions. You will quickly prototype new projects, and take the promising ones to production. Role Responsibilities Analyze and improve data quality and distribution for vision-based flight ML models, identifying and mitigating biases and gaps, specifically addressing challenges related to image data. Implement data mining and active learning strategies to curate high-quality computer vision datasets and optimize labeling efforts and training efficiency. Conduct rigorous evaluations of data and labeling quality, assessing effectiveness, efficiency of training and accuracy and coverage of testing. Develop and deploy automated data labeling pipelines including using foundation models (VLMs), big ML models, and traditional Computer Vision, ensuring accuracy and scalability. Develop  metrics, visualization, and validation to improve data pipelines. Write high quality, product level code that is easy to maintain and test following standard methodologies. Collaborate with multiple teams (Data/Labeling, Validation), and ML teams in the global Airbus Organization. Qualifications Master's degree (or equivalent industry experience) in computer science or a related discipline and 7 or more years of relevant experience  5+ years of industry experience working as a CV/ML perception software engineer in the field of autonomous vehicles, robotics, or related fields Experience in developing on or using deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) Experience in data auto labeling and active learning pipelines  for production Extensive experience in Python Good communication skills Good To Have Passion for aviation and autonomous systems Experience with LLM/VLM, OpenVocabulary Vision models, RL, and other emerging ML technologies Experience with data pipelines and visualization of embeddings, similarity/uniqueness, natural language search Compensation: The estimated salary range for this position is $156,000 to $195,000 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more.  Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year. Why Join Us? Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment. Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Acubed Requirements All job offers at Acubed are contingent upon the candidate passing references, background and export control checks. * Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

At Windfall, we aim to democratize access to people data and insights. We use a vast and varied data asset to help non-profits exceed their donation goals, and commercial companies achieve higher ROI on their marketing spend. As a Data Analyst at Windfall, your role will be to contribute to a deeper understanding of these data assets, and how they can be used to provide value for our business and for our clients. At Windfall, data is our product — and data lies at the heart of everything we do. In this role, you will have the opportunity to advance your analytical skills, working alongside an incredibly talented team of Analysts, Data Scientists and Engineers. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust. Responsibilities Aggregate data from several sources and conduct data research to generate accurate analysis to support our product development. Generate visualizations leveraging different technologies to be included in slide decks and dashboards. Influence internal stakeholders by constructing slide decks from inception and effectively communicate results. Deeply understand and document structures and processes that make up our data pipeline. Investigate the quality and relationships of new and existing data sources. Perform analyses, extract insights, and make recommendations on next steps. Requirements Bachelor’s degree 2-4 years of professional work experience (excluding internships) in an Analyst role Proficient in SQL Collaborative team-focused attitude with a strong desire and learn new things and support the business A fierce sense of ownership and responsibility in one’s work Ability to translate a business problem into technical steps, and data-driven insights into recommendations Demonstrates attention to detail Preferred Qualifications Demonstrated experience building dashboards Intermediate Python experience Additional Information: The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California and Utah. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site. About Windfall Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com . We comply with CCPA. For more information on how we comply, review our privacy notice .

Who we are Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around. What we're looking for We’re looking for an experienced Senior Engineer to join our Operational Data Store (ODS) team that delivers the services that provide the data to applications. The ideal candidate will be excited to take on the challenge of processing, storing and delivering the entire health records of millions of patients, providing low latency and high-availability for all operations. You are creative, innovative and love to run experiments to explore the paths to evolve and develop our platform as we scale. The ODS team is at the heart of everything at Zus. You will work on data services that operate on large scale data using a variety of AWS services (Fargate, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice and the team is responsible for deploying, maintaining, and operating its pipelines and services. As part of our team, you will Build and operate data services driving our applications and APIs Collaborate with team members and across Engineering to iteratively prototype and develop new functionality Provide technical leadership, contributing to the architecture and design of the teams systems Coach others to become better engineers Partner with product managers and other Zusers You're a good fit because Are scrappy and you move fast Have experience with operationally stable and cost efficient data services Enjoy owning your work and seeing it deploy safely in production Are jazzed to build backend services in Go Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation) Are excited to ~ finally! ~ enable a true digital revolution in healthcare Thrive amid the changing landscape of a growing and evolving startup Enjoy collaboration and solving unique problems Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally It would be awesome if you were Experienced in building and running large-scale systems in the cloud using Go Experienced in AWS DynamoDB Knowledgeable about application security Experienced in working with healthcare data and APIs Familiar with the FHIR and/or TEFCA standards We will consider remote applicants located outside the Boston metro who are excited to collaborate in person occasionally. This role will require some travel for in person meetings a few times per year. We will offer you… • Competitive compensation that reflects the value you bring to the team a combination of cash and equity • Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO • Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. The Discover, Nurture, and Adopt (DNA) division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. DNA is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM). We are looking for a data scientist to contribute to the end-to-end model development using Diffusion Policy and Large Behavior Models (LBM) for automated driving. This role involves focusing on analyzing large-scale data, evaluating models, curating datasets, and optimizing performance to enhance automated driving systems. You will also develop algorithms, pipelines and key strategies to enhance and streamline scalable large fleet data and vendor data. You will work closely with machine learning researchers, software engineers, and roboticists to drive execution, manage dependencies, and accelerate the transition of research models into real-world deployment. This role offers a unique opportunity to drive innovative AI research into real-world deployment, shaping the future of automated driving. If you are passionate about building transformative AI-driven mobility solutions, we invite you to apply and help us advance the next generation of automated driving vehicle technology. Responsibilities Design and implement data strategies for collecting, sampling, labeling, and using large-scale datasets to train and validate Large Behavior Models (LBM) in automated driving scenarios. Develop metrics and evaluation frameworks for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, collaborating with machine learning engineers to fine-tune, debug, and optimize models for automated driving tasks. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Support the integration of multi-modal data sources (e.g., vision, radar, language, maps) into end-to-end driving models. Work closely with cross-functional teams to bridge the gap between research models and production deployment. Qualifications MS or PhD in related fields. 5+ years of experience in data science, machine learning, or a related field, with a focus on large-scale AI applications. Strong background in statistical analysis, data mining, and machine learning techniques. Proficiency in Python and SQL for data manipulation, analysis, and visualization. Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling). Experience in building machine learning algorithms and infrastructure, including data pre- and post-processing, sampling and curation, ablation studies, and evaluation. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML model evaluation. Familiarity with large-scale dataset management, including handling high-dimensional sensor data. Strong analytical and problem-solving skills, with the ability to interpret complex datasets and drive actionable insights. Experience working in cross-functional AI research and engineering teams. Bonus Qualifications Experience in automated driving technologies, including perception, prediction, planning, or sensor simulation. Experience in building or managing infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions. Experience working with temporal/sequential and/or spatial data. Hands-on experience with sensor data processing (e.g., camera, LiDAR, radar, IMU). Familiarity with automotive simulation tools and real-world autonomous vehicle testing. The pay range for this position at commencement of employment is expected to be between $201,600 and $302,400/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Company Profile Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income, and alternative offerings. We manage approximately $65bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate. GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results. Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO. Position Overview We are looking for a Research Data Analyst to join a high performing team focused on building and maintaining research databases used in a state-of-the-art quantitative investment process. The Analyst will be responsible for resolving data quality issues, building new data quality controls, onboarding new datasets, creating documentation, and making data access more transparent. This position offers a unique opportunity to leverage one’s experience and have an impact on how data is used in the research and investment process. An ideal candidate should have strong knowledge of financial data used in multi-asset class quantitative investing and have a keen interest to think about and solve data quality issues and be adept at using various tools and technologies at their disposal to execute the job. Key Responsibilities Monitor incoming data to detect anomalies and remediate issues Investigate and resolve data quality questions and concerns Develop an expert understanding of internal databases and processes and ensure information is maintained accurately and efficiently Become a “subject matter expert” in a variety of data categories (reference, market, fundamental, estimate, macro-economic, et al) across various asset classes including equity and fixed income Develop a keen understanding of how data is utilized in our investment processes to help design and implement new data sets and processes Partner with investment teams to proactively address their data needs Design and build efficient and effective controls to help resolve and identify potential data issues Coordinate with the data engineering team to identify ways to improve our data and monitoring processes Work with external market data vendors to bring in new data sources required by business users and support existing feeds Create documentation to support data processing and exploration Contribute to a rotational “on call” program to facilitate the overnight processing of data Requirements Bachelor’s degree, preferably in economics, statistics, computer science, math or information systems 5+ years of experience working with financial data at an asset management company or financial data provider Experience orchestrating data pipelines and processes using Apache Airflow Proficient using Python and SQL to maintain data quality and automate data workflows Experience modeling data based on vendor methodologies and internal use Experience building data quality controls and resolving data issues Proven ability to visualize data using modern data analysis techniques Strong attention to detail Strong communication skills High energy and positive attitude – candidate should be conscientious, self-directed and possess a strong work ethic Passionate about a data focused career path Strong interest in databases and database technologies Plus: Understanding of LLMs and Generative AI – Ability to evaluate and apply large language models for tasks such as data summarization, anomaly detection, or intelligent alerting. Prompt Engineering – Skill in crafting effective prompts to extract insights, automate documentation, and enhance data workflows using AI tools. Experience with data systems implemented in the cloud using Databricks, Delta Lake, Spark Experience with Data Governance toolsets Interest in, or experience with, Machine Learning for Anomaly Detection This salary range is estimated for this role and actual pay may be different based on a candidate’s qualifications and/or years of experience. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits. GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

Position Summary: We are seeking a highly motivated and results-driven Channel Sales Manager to join our Global Data Center division. This role is pivotal in developing, managing, and growing strategic relationships with channel partners to drive revenue and expand our market presence. The ideal candidate will have a strong background in channel sales, an in-depth understanding of the data center industry, and the ability to develop and execute channel strategies in a global context. Key Responsibilities: Channel Partner Development: Identify, onboard, and nurture strategic channel partners, including system integrators, managed service providers, and value-added resellers. Develop comprehensive partner enablement programs to ensure alignment with the company’s goals. Sales Strategy and Execution: Develop and implement channel sales strategies to achieve revenue and growth targets. Drive partner engagement through training, joint marketing initiatives, and collaborative sales activities. Performance Management: Set clear performance objectives for channel partners and monitor progress through KPIs. Conduct regular performance reviews and provide actionable feedback to partners. Collaboration and Stakeholder Management: Work closely with internal teams, including marketing, product, and direct sales, to align channel efforts with organizational objectives. Act as a liaison between channel partners and internal stakeholders to address challenges and optimize collaboration. Market Expansion: Identify new market opportunities and expand the channel network in untapped regions. Stay informed about industry trends, competitive dynamics, and customer needs to refine channel strategies. Contract and Financial Management: Negotiate contracts and agreements with channel partners. Manage partner incentive programs and ensure compliance with financial terms and conditions. Reporting and Analytics: Provide regular updates on channel performance, sales forecasts, and market insights to senior leadership. Utilize CRM tools and analytics to track partner contributions and optimize channel efficiency. Qualifications: Bachelor’s degree in Business, Sales, Marketing, or a related field; MBA preferred. 5+ years of experience in channel sales, business development, or account management within the data center, IT, or telecommunications industry. Proven track record of achieving sales targets and driving channel growth. Strong knowledge of data center solutions, including colocation, cloud services, and connectivity. Excellent negotiation, communication, and relationship management skills. Ability to work in a fast-paced, global environment and manage multiple priorities effectively. Familiarity with CRM tools (e.g., Salesforce) and sales analytics. Preferred Skills: Experience working with global channel partners. Knowledge of market trends and regulatory environments in the data center industry. Technical understanding of IT infrastructure and networking solutions. Multilingual skills are a plus. Benefits Medical & Dental & Vision- Full Time Only Basic Life Insurance and AD&D Short-Term Disability Insurance Flexible Spending Account (FSA) Employee 401 (K) Savings Plan Vacation Time 1st year Ten (10) days Prorated 2nd year (12) days 3rd year (14) days 4th year (16) days 5th year (18) days 6th and after (20) twenty days Thirteen Paid Holidays per year Sick Time Tuition Reimbursement Program KDDI America , headquartered in New York, is the US presence of Japan's KDDI Group, a Fortune Global 500 company and leading provider of international IT and communications services. KDDI America was established in 1989 and started as a telecommunications business supporting Japanese multinationals. We have now evolved into a company that provides networks, data centers, system integration, as well as managed service solutions across all industries. Our ability to customize solutions in a major city offering scalability and service that are unparalleled set KDDI America apart from the competition. We provide Ethernet network uptimes of more than 99.999% between regions and guaranteed high performance no matter where. For more information on the information we collect about our applicants and how we use it, see our Privacy Notice at https://us.kddi.com/privacypolicy/

The Staff Data Engineer will support our software developers, database architects, analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. At IMO, our data is not merely a side effect or bonus; it is the core of our products, the mission critical deliverable for our clients. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. Join our growing Product Development/Terminology Data Engineering Organization as a Staff Data Engineer to help design, create, and support high quality solutions that support 80% of US clinicians and build the application of Data Engineering within IMO! WHAT YOU'LL DO: Leverage IMO’s terminology data to inform work, ensuring awareness of its critical role in IMO products. Analyze, enhance, and develop IMO products by directly interacting with code, data, and infrastructure. Work with large, complex data sets, applying technical skills and deep knowledge of terminology data to drive insights and improvements. Design, build, and optimize data infrastructure for ETL processes using SQL, AWS, and big data technologies, ensuring scalability, reliability, and efficiency. Automate and improve data workflows, reducing manual processes, optimizing performance, implementing orchestration frameworks, and enhancing data pipeline infrastructure. Develop and maintain data platform components for bulk, transactional, and streaming access, ensuring system scalability and cost-efficiency. Ensure data quality and integrity by maintaining schemas, improving data models, executing data management procedures, and promoting best practices. Develop and document quality source code Contribute to Agile development, fostering collaboration, accountability, and continuous improvement through testing, transparency, and adaptability. Provide mentorship and leadership, offering feedback and guiding colleagues to improve team capabilities. Deliver quality outputs through testing, transparency, inspection, and adaptation Take ownership and proactively anticipate impacts, implementing creative solutions to technical challenges and embracing innovative thinking. Collaborate cross-functionally with stakeholders to translate business needs into technical solutions, assist with data/infrastructure, and drive product innovation. Stay ahead of industry best practices, continuously developing skills and making data-driven decisions that guide the team. WHAT YOU'LL NEED: Relevant Technical BA/BS degree + 7 years of experience OR 10+ years of relevant professional experience. Experienced engineer with a track record of building end-to-end data platforms, collaborating on architecture, and leading peers. Proficient developer in multiple languages, including Python, with the ability to quickly learn new ones. Expertise in SQL (complex queries, relational databases like PostgreSQL, and NoSQL databases like DynamoDB, MongoDB, Elasticsearch). Extensive big data experience, including Spark, Kafka, and optimizing data pipelines, architectures, and datasets. Strong background in data modeling, logical/physical database design, and metadata management. AWS expert with hands-on experience in EC2, EMR, RDS. Proficient in CI/CD development using Git, Terraform, and agile methodologies. Comfortable with stream-processing systems (Storm, Spark-Streaming) and workflow management tools (Azkaban, Luigi, Airflow). Strong analytical, troubleshooting, and problem-solving skills. Ability to guide teams through root cause analysis and process improvements. Experienced mentor and cross-departmental leader with strong communication skills. Enjoys challenges, explores new approaches, and is comfortable asking for help. Hands-on experience leveraging AI technologies to enhance efficiency and effectiveness. Exposure to knowledge graph technologies (Graph DB, OWL, SPARQL) is a plus. PREFERRED EXPERIENCE: AWS Associate: Data Engineer, Solutions Architect (at least one strongly preferred) AWS Associate: Machine Learning Engineer (preferred, not required) AWS Foundational: AI Practitioner (preferred, not required) Hands-on with ETL & BI tools (Talend, Tableau, Looker). Deep understanding of data cataloging standards and their maintenance. Prior experience working with healthcare data. Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page .

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Product Manager, Hive Data Role The Hive Data team plays a central role at Hive in enabling massive amounts of data to be labeled in an accurate, efficient, and scalable way. You'll take a critical part in improving a platform of services and tools used by millions, and which is paramount to the success of bleeding edge ML products and research. As a Product Manager, you will be an essential part of the Hive team, working effectively across all disciplines to build, launch, and iterate. You will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You will play a central role in helping each team succeed and promoting productivity, efficiency, risk management, and continuous improvement. You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects. Responsibilities Oversee product execution from inception to delivery Gain deep understanding of our enterprise customers’ needs Mock up concepts, write specs, cut tickets, write copy and do whatever it takes to ship your products Work closely with teams comprised of engineers, designers, sales, and play a critical role in planning of projects to ensure the timely delivery of quality products and features Help teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throughout project lifecycles Facilitate the resolution of timing conflicts, project collisions, and resourcing constraints, and identify and remove bottlenecks Work with leadership to determine top priorities and ensure development work reflects those priorities Communicate plans, status, risks (and mitigations) to all stakeholders, escalate urgent issues appropriately and drive them to closure Measure engineering velocity, and help identify and establish new best practices to improve the speed and security at which projects are delivered Hold yourself and team members accountable to timelines Maintain awareness of industry best practices for data maintenance handling as it relates to your role Adhere to policies, guidelines and procedures pertaining to the protection of information assets Report actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements BA / BS, preferably in computer science or a related technical field A track record of building web products, preferably in a startup or fast-paced environment You have technical experience with any of the following: data, analytics, design or engineering Technical depth that lets you understand tradeoffs and ask engineers insightful questions about architecture and product decisions alike Strong quantitative background to support data-informed decision making Experience working with engineering, design, and customers in enterprise software or related technical fields Experience leading a team, and effectively implementing team goals and deadlines Detail oriented; organized; collaborative; hands on Exceptionally clear and precise communication skills Self-starter, capable of staying on track while pursuing solutions with minimal supervision Ability to work under pressure, meet deadlines, and handle multiple projects simultaneously You are comfortable with — and can thrive in — an environment that is constantly changing, frequently uncertain, and at times chaotic You can turn incomplete, conflicting, or ambiguous inputs into solid action plans Beyond just shipping new products, you obsess about continuous product improvement Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $120,000 - $170,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.

Senior Systems Analyst Dahlgren Naval Surface Warfare Center, Dahlgren, VA Salary negotiable (Dependent on experience level) - Full Time with Benefits Flexible Start-Date – Contingent on contract award Strategic Data Systems (SDS) is seeking an experienced Systems Analyst (Data Architect) to support a DoN customer. Strategic Data Systems is an experienced technical solutions provider for the Navy, Marine Corps, DoD, and other federal customers. Our mission is to provide exceptional technical capabilities, management, and support to the warfighter. The Senior Systems Analyst will be responsible for providing systems configuration support, troubleshooting, research and analysis, and database development Requirements High School degree required, Bachelor’s Degree preferred Six (6) years of professional experience in relation to implementation of business and technical requirements; analyzing; planning and development; application testing; and database management support. Knowledge of service management concepts for networks and related standards (e.g., Information Technology Infrastructure Library, current version [ITIL]). Knowledge of how AI solutions integrate with cloud or other IT infrastructure. Knowledge of how to automate development, testing, security, and deployment of AI/machine learning-enabled software to the DoD. Qualified experience in Department of Defense Architecture Framework ( DoDAF ) and enterprise architecture tools such as IBM’s System Architect. This position requires a Top Secret clearance. Once contractors follow a WRC paradigm this will have a CWF designation at 653 Work Role Code with the proficiency level of Advanced. Skill in designing the best approach and architecture for automated data labeling and data lifecycle. At Least one of the following certifications for IAT III compliance: CASP+, CCNP Security, or CCSP Responsibilities The Senior Systems Analyst will be responsible for providing systems configuration support, troubleshooting, research and analysis, and database development. Provide analysis, design, patches, and upgrades to database applications, software, technical architectures. Analyze information to determine, recommend, and plan the development of a new application or modification of an existing application. Responsible for providing support to government stakeholders with knowledge of data operations, knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS). Confer with systems analysts, engineers, programmers and others to design application. Examine and identify database structural necessities by evaluating operations, applications, and programming. Prepare database design and architecture reports. Responsible for providing insight and input on AI solutions that integrate with cloud or other IT infrastructures. Consult with customers and key stakeholders to evaluate functional requirements for AI and data application. Designs a system’s data models, data flow, interfaces, and infrastructure to meet the information requirements of a customer or mission. Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.