Cast a wider net — 10x your job applications¹

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical. The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human-centered autonomous driving systems. Responsibilities Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data. Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors. Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps. Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows. Communicate insights and recommendations to engineering leaders and cross-functional teams. Skills Success in this role typically requires the following competencies: Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark). Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements. Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems. Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders. Detail-oriented with a focus on validation, testing, and error detection. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems. 2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis. Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems. Hands-on experience working with real-world driving logs and/or simulation data. Desired Background in motion planning, behavior prediction, or multi-agent interaction modeling. Experience designing metric-driven development, KPIs, and automated triaging pipelines. Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave as well as a phased return to work. Flexible vacation policy in addition to paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website ! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $163,477 — $240,408 USD

Technical Program Manager - Clinical Data Onboarding Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity We are seeking a Technical Program Manager with strong technical aptitude, project management experience, and a solid understanding of data systems and processes. This role will focus primarily on optimizing and automating data onboarding workflows to drive scalability, consistency, and efficiency across the organization. In addition, you will support the Senior Technical Program Manager in coordinating onboarding activities for our health system partners, ensuring high-quality execution and alignment across teams. Working closely with the Manager and Senior TPM, you will help implement improvements, streamline processes, and strengthen the overall onboarding operation. What You’ll Do Support and coordinate the end-to-end data onboarding lifecycle for member health systems, including file intake, schema management and alignment to data specifications, profiling, source-to-target mapping, and validation. Collaborate with technical and business stakeholders to clarify requirements, identify gaps, and ensure specifications, mappings, and process documentation are complete and accurate. Write and maintain data specifications and operational documentation to drive consistency, repeatability, and process optimization. Identify and implement opportunities to streamline and scale onboarding workflows, improving internal efficiency and the Onboarding team’s partner experience. Manage project plans, timelines, risks, and dependencies to ensure onboarding deliverables are completed on schedule and meet Truveta quality standards. Facilitate communication across Product, Engineering, Data, and Health System Engagement teams to ensure alignment and resolve issues throughout onboarding. Key Qualifications 3–5 years of experience in technical project management, technical program management, product operations, or similar roles supporting data-centric initiatives. Experience with data ingestion, ETL, or data integration projects, ideally involving structured data from external partners. Strong understanding of file management, data specifications, data modeling concepts, and source-to-target mapping. Ability to write clear, structured technical specifications and process documentation. Demonstrated strength in project planning, issue tracking, and cross-functional coordination. Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent experience). Comfortable working amid ambiguity and evolving requirements. Strong written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical audiences. Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person) The base pay for this position is $95,000 to $125,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Healthcare Data Analyst, Data Ecosystem Team Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity As part of the Ecosystem division, the newly formed Healthcare Analytics team is central to delivering on Truveta’s mission by empowering health system clinical and administrative leaders to measure, learn, and improve. We are building exemplary metrics, dashboards, and benchmarks that inspire adoption of Truveta by our member health systems. The Healthcare Analytics team is looking for a Healthcare Data Analyst who thrives at the intersection of EHR data expertise, rigorous analytics qualifications, and collaborative problem solving. You will play a critical role in creating high-quality analytic outputs that health systems can adopt and customize to improve care quality, population health, clinical operations, and financial sustainability, solving consequential problems in healthcare using an EHR database of ~120 million patients (and growing!), while positively impacting patient outcomes. This role is ideal for someone with hands-on experience working with EHR data, strong data wrangling skills, and a passion for turning data into meaningful insight that resonates with clinicians, health system executives, and operational leaders. As a Healthcare Data Analyst , you will have the opportunity to translate complex clinical and claims data into clear, defensible evidence that supports member initiatives in safety, quality, cost reduction, and growth. Responsibilities Develop iconic analytic outputs (studies, dashboards, benchmarks) that demonstrate Truveta’s unique value and inspire members to replicate, customize, and apply insights to address common, high-priority health system challenges. Wrangle large-scale healthcare datasets and build reproducible queries using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines, while developing subject matter expertise in Truveta’s proprietary coding language and analytics platform. Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic output that showcase Truveta’s differentiated capabilities and highlight how Truveta can impact healthcare’s mission and margin objectives. Collaborate closely with cross-functional teams to validate data quality, investigate issues, and provide feedback that informs Truveta’s product roadmap. Use AI thoughtfully and strategically to spark new ideas and tackle problems. Apply AI to speed feedback loops, test hypotheses, and deliver insights faster, while balancing judgment, creativity, and an awareness of its limitations. Required Skills Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field. Experience working with large relational database consisting of millions of patients' records. Experience building dashboards, benchmarks, or metrics to achieve measurable improvement in health system operations, quality outcomes, or population health. 2+ years of experience wrangling and analyzing EHR data or other real-world data sources using SQL, R and Python. Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, RxNorm, or NDC. A willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. Experience translating healthcare and operational concepts into analytic workflows. Strong communication skills to present insights and results to both technical and non-technical audiences. Ability to learn and adapt quickly in a dynamic start-up environment. Preferred Qualifications These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them. Experience working with unstructured clinical data, natural language processing outputs, or AI/ML tools Knowledge of distributed computing platforms (Spark) and associated data analysis languages (Spark SQL, PySpark, SparkR) Experience building cohort definitions, defining metrics, and interpreting analytic findings Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person) The base pay for this position is $105,000 to $130,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

The Opportunity At Enigma, we believe that the future of the small business economy is driven by data. Enigma provides the most comprehensive data about the identity and financial health of nearly every small business in the country. Our customers use our unique product to make smarter credit-related decisions and to better serve their small business customers. As we continue to scale our customer base, we are seeking a senior Customer Success Manager with strong client-facing experience and an analytical mindset to drive successful outcomes with our key customer accounts. What You'll Do As a Customer Success Manager, you will own customer relationships, guide strategic initiatives, and drive business outcomes. You'll partner closely with Product, Sales, and Engineering teams to ensure Enigma delivers constant and unmatched value to our customers. We Are Looking for Someone Who Owns the ultimate success of their accounts, both retention and expansion opportunities Develops trusted advisor relationships with C-suite stakeholders and applies structured problem-solving frameworks to identify high-impact opportunities Designs and executes customer success plans, leads complex implementations, and guides customers on embedding Enigma data into their workflows Partners cross-functionally to gather customer feedback and inform product roadmap and go-to-market strategy What Makes This Role Exciting? Impact and Ownership: Your work will directly influence how our customers grow their businesses and how Enigma scales Strategic Reach: Solve complex business problems for industry-leading financial services companies, payment processors, and B2B SaaS companies Market-Changing Technology: Enigma's unified business identity graph is transforming how companies prospect, onboard, and manage risk Our Ideal Candidate Has 3-4 years of experience at a top-tier consulting firm or financial services company Is adept at managing complex client engagements and driving measurable outcomes Has strong analytical and problem-solving skills with the ability to structure ambiguous problems, develop strategies and orchestrate the execution of them Is familiar with Python and SQL and can analyze data in a business context Excellent written and verbal and has experience presenting to C-level executives Has experience navigating complex organizational structures and building relationships across all levels Is driven by customer empathy, analytical rigor, and strategic thinking Bonus Points If You Have experience in financial services, fintech, payments, or data/SaaS industries Have prior exposure to data products, APIs, business intelligence tools, or machine learning concepts Hold a technical degree (Engineering, Mathematics, Statistics, Computer Science) or MBA About Us At Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values – generosity, curiosity, ingenuity, & drive – guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you! We are proud to be an equal opportunity workplace and an affirmative action employer. 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 Salary Range: $150,000-$175,000 A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together.

AT A GLANCE RVO Health is looking for an experienced data analytics professional to join our Weight and Wellness Data Analytics team. In this role you will manage high-priority data projects and shape the overall data strategy for our different weight and wellness businesses. You will be responsible for scoping technical projects, building relationships with stakeholders to best support the business, manipulating and analyzing data, and mentoring other data analysts within the organization. The ideal candidate will have the skills to support data projects end-to-end, inclusive of tracking, architecture, modeling, visualization, reporting, and doing in-depth analysis to inform business strategy. Beyond their technical proficiency, they will also be organized, quick and eager learners, excellent communicators, independent problem-solvers, and phenomenal team players. Where You'll Be To prioritize togetherness, culture, and accountability, RVO Health operates on an in-office work schedule. We expect employees to work from our Minneapolis office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. 11000 Optum Cir Eden Prairie, MN 55344 What You’ll Do Manage business-critical technical projects end-to-end. Conduct analyses, build scalable analytics infrastructure and dashboards, create reports, and enable our business partners and clients to best make decisions using our data. Partner with business leaders to work effectively across multiple technical teams to solve problems. You’ll play a pivotal role in building a positive culture across different areas of the organization. Autonomously leverage an advanced analytical toolkit, executing complex analyses, visualizations and storytelling. Amplify your influence by driving development of junior team members through mentorship and coaching on both technical skills and strategic business skills. Interact with senior leadership to provide data driven recommendations to executives to help shape Weight and Wellness strategy. What We’re Looking For Strong interpersonal and communication skills, with experience working well with business stakeholders Demonstrated ability to synthesize data into actionable insights and communicate recommendations to leadership Experience with visualization tools such as Looker (strongly preferred), Tableau or PowerBI to build dynamic/scalable dashboards and reports Strong proficiency in both SQL and Python; proficiency with Snowflake and DBT specifically is a plus. Eagerness to learn and become an expert source of knowledge on a particular subject - will be a valuable asset to bring into any conversation because they have a strong pulse on how many aspects of the organization work. Excited and involved in the growth of those around them and motivated to make them great. Invested in the strategic vision of more than just the analytic function. They can methodically understand business context and can clearly articulate the “why” behind any proposed solutions to the data team. Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements. Starting Salary: $100,000 - $135,000* *Note actual salary is based on qualifications and experience Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Pharmacy Benefits Income Protection Plans Pet Services Plans Mental Health Support Wellness Coaching HSA- Health Savings Account Commuter Benefits Gym & Fitness Center Discount Program Who We Are: Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world. RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com. We do not provide visa sponsorship for this role at this time. #LI-Hybrid RVO Health Privacy Policy: https://rvohealth.com/legal/privacy

Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! The Role: As a Customer Success Associate (CSA) within our Financial Messaging team, you are responsible for optimizing and enriching the customer experience through proactive engagement strategies for your assigned portfolio of Customers. Our goal is to protect and grow the revenue in our existing customer portfolio. As a CSA, you will serve as the main point of contact for customers, helping them achieve their goals, resolve challenges, and drive engagement. You will lead our customers to their desired outcomes and demonstrate the significance of the strategic partnership with Bottomline Technologies. Through a consultative approach, you will proactively engage and enable the customer throughout the journey to ensure success and delight. You will work cross functionality to ensure teams are executing to enable customer success. Working closely with sales, you will identify opportunities to expand business by positioning and recommending additional products, solutions and services that will maximize business value for the Customer as well as reviewing contracts and looking for opportunities to expand the current value. You will measure and monitor the adoption and health of our customers throughout the customer journey and you will be the primary engagement point with the customer for monthly reviews, as well as resolving challenges and issues. You are at the forefront of activities that will continuously drive increased customer delight and are ultimately responsible for the retention and significant growth for your assigned Customers. This role is remote-friendly; however, we have a preference for candidates located in the Eastern time zone to support team collaboration and alignment with core working hours. How you'll contribute: Customer Management & Retention Develop long-term relationships with customers, understanding their business needs. Protect the revenue and maximize renewal opportunities. Act as a strategic advisor, identifying opportunities for upselling and cross-selling. Monitor customer health scores and proactively address potential issues. Communication – Voice of the Customer Be the internal voice to raise awareness if there is risk and drive the teams to mitigate it. Outstanding verbal and written communication skills, with the ability to present to a diverse audience, both internally and externally Support & Problem Solving Serve as the main point of contact for customer inquiries and concerns. Work cross-functionally with sales, support, and product teams to resolve customer issues. Performance Tracking & Reporting Monitor customer engagement metrics, churn rates, and overall satisfaction. Prepare reports and insights on customer success initiatives. If you have the attributes, skills, and experience listed below, we want to hear from you! 3-5 years experience in SaaS Customer Success or Account Management. Demonstrated commercial mindset, with an understanding of “selling moments”. Process orientation, with a keen focus on Customer goal achievement KPI’s. Experience of using data to drive growth and retention campaigns #LI-KK1 We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.

Data Architect Location: Remote (St Louis, MO) Type: Full-Time About Human Agency We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. The Opportunity We’re seeking a Data Architect to design modern, AI-ready data architectures across multiple client engagements. This role sits at the intersection of data modeling, semantic layer design, feature engineering, and AI enablement . You’ll architect systems that make data reliable, reusable, and production-ready for business intelligence, machine learning, and artificial intelligence. You should be equally comfortable designing the data backbone for AI-driven products, writing SQL or Python to unblock a model pipeline, or guiding teams through tradeoffs between flexibility, cost, and responsible automation. Key Responsibilities Data Modeling & Architecture Design and implement end-to-end data architectures in Snowflake — from raw ingestion through staging, fact/dimension modeling, and semantic layer design. Define data models that balance flexibility for analysts with performance and scalability for production. Partner with engineering teams to integrate data from source applications and operational systems. Establish versioned modeling standards and documentation to ensure consistency across domains. Semantic Layer & Metric Governance Build or refine semantic layers that unify metric definitions across BI tools like Tableau, Power BI, or Looker. Collaborate with business owners to define KPIs, approve new metrics, and monitor adoption. Implement versioned datasets and definitions to support reliable analytics and reporting. Feature Store & ML Readiness Architect feature pipelines and data contracts that support point-in-time correctness for machine learning models. Collaborate with data scientists and AI engineers to implement reusable feature stores for both training (offline) and deployment (online) use. Monitor data quality and prevent data leakage that could affect model performance. Support event-driven architectures that bridge predictive models with operational systems. AI & Agentic Workflow Enablement Partner with AI teams to integrate structured and unstructured data into generative and agentic workflows (e.g., RAG, copilots, automated evaluation agents). Design APIs or event structures that serve predictions and triggers in near real time. Measure adoption and value of AI-driven workflows through data instrumentation. Qualifications Required 7+ years in data engineering/analytics engineering with ownership of production pipelines and BI at scale. Demonstrated success owning and stabilizing production data platforms and critical pipelines. Strong grasp of modern data platforms (e.g., Snowflake), orchestration (Airflow), and transformation frameworks (dbt or equivalent). Competence with data integration (ELT/ETL), APIs, cloud storage, and SQL performance tuning. Practical data reliability experience: observability, lineage, testing, and change management. Operates effectively in ambiguous, partially documented environments; creates order quickly through documentation and standards. Prior ownership of core operations and reliability for business-critical pipelines with defined SLOs and incident response. Demonstrated client-facing experience (consulting/agency or internal platform teams with cross-functional stakeholders) and outstanding written/verbal communication (executive briefings, workshops, decision memos). Preferred Deep interest in Generative AI and Machine Learning. Basic scripting ability in Python. Practical Generative AI experience: shipped at least one end-to-end workflow (e.g., RAG) including ingestion, embeddings, retrieval, generation, and evaluation. Working knowledge of LLM behavior (tokens, context windows, temperature/top-p, few-shot/tool use) and how to tune for quality/cost/latency. Comfort with vector search (e.g., pgvector or a hosted vector store) and hybrid retrieval patterns. Evaluation & safety basics: offline evaluation harnesses, lightweight online A/B tests, and guardrails for PII and prompt-injection. MLOps for LLMs: experiment tracking, versioning of prompts/configs, CI/CD for data & retrieval graphs, and production monitoring (latency, cost, drift). Python scripting for data/LLM utilities and service integration (APIs, batching, retries). Familiarity with BI tools (Power BI/Tableau) and semantic layer design. Exposure to streaming, reverse ETL, and basic MDM/reference data management. Security & governance awareness (role‑based access, least privilege, data retention). Considerations Education: Bachelor’s degree or equivalent experience. Ethics: Commitment to ethical practices and responsible AI. Travel: Occasional (10–30%) for client activities and events. Location: Remote-friendly with preference for candidates in St. Louis, MO and major tech hubs Compensation This role offers a competitive base salary with performance-based bonuses. Final compensation will vary based on experience, performance, and location. Why Work With Human Agency Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Data Architect Location: Remote (Chicago, IL) Type: Full-Time About Human Agency We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. The Opportunity We’re seeking a Data Architect to design modern, AI-ready data architectures across multiple client engagements. This role sits at the intersection of data modeling, semantic layer design, feature engineering, and AI enablement . You’ll architect systems that make data reliable, reusable, and production-ready for business intelligence, machine learning, and artificial intelligence. You should be equally comfortable designing the data backbone for AI-driven products, writing SQL or Python to unblock a model pipeline, or guiding teams through tradeoffs between flexibility, cost, and responsible automation. Key Responsibilities Data Modeling & Architecture Design and implement end-to-end data architectures in Snowflake — from raw ingestion through staging, fact/dimension modeling, and semantic layer design. Define data models that balance flexibility for analysts with performance and scalability for production. Partner with engineering teams to integrate data from source applications and operational systems. Establish versioned modeling standards and documentation to ensure consistency across domains. Semantic Layer & Metric Governance Build or refine semantic layers that unify metric definitions across BI tools like Tableau, Power BI, or Looker. Collaborate with business owners to define KPIs, approve new metrics, and monitor adoption. Implement versioned datasets and definitions to support reliable analytics and reporting. Feature Store & ML Readiness Architect feature pipelines and data contracts that support point-in-time correctness for machine learning models. Collaborate with data scientists and AI engineers to implement reusable feature stores for both training (offline) and deployment (online) use. Monitor data quality and prevent data leakage that could affect model performance. Support event-driven architectures that bridge predictive models with operational systems. AI & Agentic Workflow Enablement Partner with AI teams to integrate structured and unstructured data into generative and agentic workflows (e.g., RAG, copilots, automated evaluation agents). Design APIs or event structures that serve predictions and triggers in near real time. Measure adoption and value of AI-driven workflows through data instrumentation. Qualifications Required 7+ years in data engineering/analytics engineering with ownership of production pipelines and BI at scale. Demonstrated success owning and stabilizing production data platforms and critical pipelines. Strong grasp of modern data platforms (e.g., Snowflake), orchestration (Airflow), and transformation frameworks (dbt or equivalent). Competence with data integration (ELT/ETL), APIs, cloud storage, and SQL performance tuning. Practical data reliability experience: observability, lineage, testing, and change management. Operates effectively in ambiguous, partially documented environments; creates order quickly through documentation and standards. Prior ownership of core operations and reliability for business-critical pipelines with defined SLOs and incident response. Demonstrated client-facing experience (consulting/agency or internal platform teams with cross-functional stakeholders) and outstanding written/verbal communication (executive briefings, workshops, decision memos). Preferred Deep interest in Generative AI and Machine Learning. Basic scripting ability in Python. Practical Generative AI experience: shipped at least one end-to-end workflow (e.g., RAG) including ingestion, embeddings, retrieval, generation, and evaluation. Working knowledge of LLM behavior (tokens, context windows, temperature/top-p, few-shot/tool use) and how to tune for quality/cost/latency. Comfort with vector search (e.g., pgvector or a hosted vector store) and hybrid retrieval patterns. Evaluation & safety basics: offline evaluation harnesses, lightweight online A/B tests, and guardrails for PII and prompt-injection. MLOps for LLMs: experiment tracking, versioning of prompts/configs, CI/CD for data & retrieval graphs, and production monitoring (latency, cost, drift). Python scripting for data/LLM utilities and service integration (APIs, batching, retries). Familiarity with BI tools (Power BI/Tableau) and semantic layer design. Exposure to streaming, reverse ETL, and basic MDM/reference data management. Security & governance awareness (role‑based access, least privilege, data retention). Considerations Education: Bachelor’s degree or equivalent experience. Ethics: Commitment to ethical practices and responsible AI. Travel: Occasional (10–30%) for client activities and events. Location: Remote-friendly with preference for candidates in St. Louis, MO and major tech hubs Compensation This role offers a competitive base salary with performance-based bonuses. Final compensation will vary based on experience, performance, and location. Why Work With Human Agency Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Data Architect Location: Remote (Boston, MA) Type: Full-Time About Human Agency We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. The Opportunity We’re seeking a Data Architect to design modern, AI-ready data architectures across multiple client engagements. This role sits at the intersection of data modeling, semantic layer design, feature engineering, and AI enablement . You’ll architect systems that make data reliable, reusable, and production-ready for business intelligence, machine learning, and artificial intelligence. You should be equally comfortable designing the data backbone for AI-driven products, writing SQL or Python to unblock a model pipeline, or guiding teams through tradeoffs between flexibility, cost, and responsible automation. Key Responsibilities Data Modeling & Architecture Design and implement end-to-end data architectures in Snowflake — from raw ingestion through staging, fact/dimension modeling, and semantic layer design. Define data models that balance flexibility for analysts with performance and scalability for production. Partner with engineering teams to integrate data from source applications and operational systems. Establish versioned modeling standards and documentation to ensure consistency across domains. Semantic Layer & Metric Governance Build or refine semantic layers that unify metric definitions across BI tools like Tableau, Power BI, or Looker. Collaborate with business owners to define KPIs, approve new metrics, and monitor adoption. Implement versioned datasets and definitions to support reliable analytics and reporting. Feature Store & ML Readiness Architect feature pipelines and data contracts that support point-in-time correctness for machine learning models. Collaborate with data scientists and AI engineers to implement reusable feature stores for both training (offline) and deployment (online) use. Monitor data quality and prevent data leakage that could affect model performance. Support event-driven architectures that bridge predictive models with operational systems. AI & Agentic Workflow Enablement Partner with AI teams to integrate structured and unstructured data into generative and agentic workflows (e.g., RAG, copilots, automated evaluation agents). Design APIs or event structures that serve predictions and triggers in near real time. Measure adoption and value of AI-driven workflows through data instrumentation. Qualifications Required 7+ years in data engineering/analytics engineering with ownership of production pipelines and BI at scale. Demonstrated success owning and stabilizing production data platforms and critical pipelines. Strong grasp of modern data platforms (e.g., Snowflake), orchestration (Airflow), and transformation frameworks (dbt or equivalent). Competence with data integration (ELT/ETL), APIs, cloud storage, and SQL performance tuning. Practical data reliability experience: observability, lineage, testing, and change management. Operates effectively in ambiguous, partially documented environments; creates order quickly through documentation and standards. Prior ownership of core operations and reliability for business-critical pipelines with defined SLOs and incident response. Demonstrated client-facing experience (consulting/agency or internal platform teams with cross-functional stakeholders) and outstanding written/verbal communication (executive briefings, workshops, decision memos). Preferred Deep interest in Generative AI and Machine Learning. Basic scripting ability in Python. Practical Generative AI experience: shipped at least one end-to-end workflow (e.g., RAG) including ingestion, embeddings, retrieval, generation, and evaluation. Working knowledge of LLM behavior (tokens, context windows, temperature/top-p, few-shot/tool use) and how to tune for quality/cost/latency. Comfort with vector search (e.g., pgvector or a hosted vector store) and hybrid retrieval patterns. Evaluation & safety basics: offline evaluation harnesses, lightweight online A/B tests, and guardrails for PII and prompt-injection. MLOps for LLMs: experiment tracking, versioning of prompts/configs, CI/CD for data & retrieval graphs, and production monitoring (latency, cost, drift). Python scripting for data/LLM utilities and service integration (APIs, batching, retries). Familiarity with BI tools (Power BI/Tableau) and semantic layer design. Exposure to streaming, reverse ETL, and basic MDM/reference data management. Security & governance awareness (role‑based access, least privilege, data retention). Considerations Education: Bachelor’s degree or equivalent experience. Ethics: Commitment to ethical practices and responsible AI. Travel: Occasional (10–30%) for client activities and events. Location: Remote-friendly with preference for candidates in St. Louis, MO and major tech hubs Compensation This role offers a competitive base salary with performance-based bonuses. Final compensation will vary based on experience, performance, and location. Why Work With Human Agency Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. Equal Opportunity Commitment Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.