San Francisco, California, United States · On-site
$206k–$257k/yr
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to deve…
Skills: Product Management, Healthcare Domain Expertise, Reinforcement Learning, Data Strategy, ML Intuition
San Francisco, California, United States · On-site
$205k–$257k/yr
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to deve…
Skills: Product Management, Financial Domain Expertise, Reinforcement Learning, Data Strategy, ML Intuition
Seattle, Washington, United States · On-site
$67k–$129k/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever…
Skills: U.S. GAAP, Contract Review, Month-end Close, GenAI Tools, Excel
San Francisco, California, United States · Hybrid
$135k–$225k/yr
About the Data Cloud Team Rippling Data Cloud is a new suite of products that aggregates data from across your company into Rippling, connects it to worker identity, and makes it available for analysis, visualization and…
Skills: Python, Go, Distributed Systems Architecture, Data Modeling, Relational Database Optimization
Seattle, Washington, United States · On-site
Company Description We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strat…
Skills: Databricks, PySpark, SQL, Unity Catalog, DBT
Seattle, Washington, United States · On-site
$240k–$280k/yr
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, ene…
Skills: Java, Spring Framework, Spring Boot, Javascript, React
San Francisco, California, United States · Hybrid
$205k–$270k/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Integration Development, ERP Implementation, Python, JavaScript, TypeScript
Seattle, Washington, United States · Hybrid
Overview MG2, an affiliate of Colliers Engineering & Design, is currently looking for a Senior Full Stack Developer to join our Technology team in Seattle, WA in a hybrid work arrangement. The Senior Full Stack Developer…
Skills: Full Stack Development, React, Angular, JavaScript, Java
Seattle, Washington, United States · On-site
$77k–$102k/yr
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century…
Skills: Financial Analysis, Forecasting, Variance Analysis, Profit Margin Analysis, Financial Reporting
Seattle, Washington, United States · On-site
$146k–$194k/yr
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century…
Skills: Data Analysis, Statistical Modeling, Data Visualization, Business Operations, Strategic Planning
Seattle, Washington, United States · On-site
$129k–$171k/yr
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century…
Skills: Applied AI Engineering, LLMs, Python, API Integration, RAG
Seattle, Washington, United States · Hybrid
$186k–$255k/yr
About Amperity—Why This, Why Now Most customer data is a lie by omission. Every consumer brand wants to know its customers. Unfortunately, almost none actually do. Data is scattered across a dozen systems, half of it con…
Skills: Machine Learning Engineering, MLOps, Python, PyTorch, PySpark
Seattle, Washington, United States · On-site
$136k–$213k/yr
About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever…
Skills: Causal Inference, SQL, Python, R, A/B Testing
Seattle, Washington, United States · Hybrid
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better wor…
Skills: Data Science, Machine Learning, Statistical Modeling, Big Data, Data Engineering
Seattle, Washington, United States · On-site
$120k–$140k/yr
Overview The Financial Planning & Analysis (FP&A) Manager will be responsible for enterprise-wide budgeting, forecasting, financial planning, and performance analysis for our grocery co-op. This high visibility role is i…
Skills: Financial Planning, Budgeting, Forecasting, Financial Modeling, Performance Analysis
Seattle, Washington, United States · On-site
Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? If so, we have an exciting opportunity for you! Translation Se…
Skills: Machine Learning, Natural Language Processing, Large Language Models, Machine Translation, Multimodal Content
Seattle, Washington, United States · On-site
$190k–$284k/yr
Serve as a strategic leader responsible for defining and driving high-impact product initiatives across the organization. You’ll partner with senior leadership, engineering, design and business stakeholders to shape prod…
Skills: Product Strategy, Stakeholder Management, Agile Methodologies, Product Roadmap, Analytical Problem Solving
Seattle, Washington, United States · Hybrid
$138k–$233k/yr
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From aut…
Skills: Data Architecture, Migration Architecture, Siemens Teamcenter, PLM, ETL
Seattle, Washington, United States · Hybrid
$196k–$245k/yr
Job Description: At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money glo…
Skills: Machine Learning, Python, PyTorch, XGBoost, LightGBM
Seattle, Washington, United States · On-site
$144k–$194k/yr
Ever wonder what happens when S3 processes a PUT request, when EC2 launches a new instance, when DynamoDB commits a write with single-digit millisecond latency, or when Kinesis Data Streams ingests a new record? Behind t…
Skills: Distributed Systems, Database Internals, System Design, Software Architecture, High-Performance Computing
San Francisco, California, United States • On-site
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Own the Healthcare AI roadmap and data strategy to develop RL environments and high-fidelity simulations for training AI agents. Partner with frontier AI labs and industry leaders to design healthcare-specific workflows and benchmarks.
Requires 2-4 years of direct healthcare industry experience in clinical staff, research, or healthtech roles. Candidates should possess a builder's mindset, ML intuition, and the ability to translate domain knowledge into technical product requirements.
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions.
We’re looking for an AI Product Manager to own the Healthcare vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of healthcare software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Healthcare industry, decide what healthcare tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product.
The ideal candidate has lived inside the Healthcare industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Healthcare workflows.
You’ll translate that expertise into environments and datasets that teach AI agents to perform real healthcare work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Making AI work since 2016
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
Offices: 303 2nd St, South Tower, 5th FL, San Francisco, California 94107, US
Based on 1384 listings with disclosed salaries, most data & analytics jobs in Seattle, WA pay between $102k–$235k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,623 open data & analytics positions in Seattle, WA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Amazon, Oracle, Expedia Group, Apple, Starbucks, among others. Browse the listings above to see every active employer.
Yes — 510 of the 1623 open data & analytics positions offer remote or hybrid work (87 remote, 423 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
