Build and maintain data infrastructure to measure agent behavior and user interactions, design evaluation frameworks for AI agents, analyze user behavior to inform product strategy, and partner with engineering and leadership to solve high-impact business problems using data.
About Us
Who we’re looking for
What you’ll do
Qualifications
You’re a strong fit if you
Compensation
E-Verify Participation Notice
Equal Employment Opportunity (EEO) Statement
Supio is a trusted AI platform purpose-built for law firms, reshaping how data drives impactful outcomes. Our innovative approach blends technology with deep legal expertise, making us a leader in our field. We go beyond surface-level AI to deeply understand our customers’ daily needs, empowering law firms with unparalleled data insights. Supio delivers human-level, accurate analysis of complex data and legal records, quickly and efficiently bringing critical insights when they matter most. Trusted by top litigation lawyers, our platform has supported over $1 billion in settlements.
Headquartered in Seattle with an office in San Francisco, we raised $60M Series B in April 2025 led by Sapphire Ventures with Mayfield and Thomson Reuters Ventures, bringing total funding to $91M. We're scaling rapidly and looking for exceptional talent to join us in this next phase of growth.
We're looking for passionate team members who are motivated by our mission and ready to help us achieve it.
We’re looking for a Data Engineer who brings intellectual curiosity and genuine drive to understand the business and product — not just the data. This isn’t a role for someone who waits for requirements; it’s for an independent thinker who seeks out cross-functional peers for problems worth solving and then builds the systems to solve them. You’ll work closely with senior engineering and leadership across the company, sitting at the intersection of data infrastructure, AI, and business strategy. If you’re energized by building from the ground up and making ambiguous problems concrete, this is the role for you.
- Establish Data Foundations: Build the data infrastructure needed to deeply understand agent behavior, usage patterns, and performance—turning raw signals into actionable intelligence that informs product and business decisions.
- Build Agent Evaluation Infrastructure: Design and implement structured evaluation frameworks for Supio’s AI agents, creating the measurement systems that enable continuous improvement of our core product.
- Analyze User Behavior: Investigate how customers interact with Supio’s platform, comparing natural language input patterns against traditional click-based behavior to surface insights that drive product strategy.
- Solve High-Impact Business Problems: Identify and build systems that address Supio’s most critical data challenges, driving outcomes that matter to the business rather than producing routine reports.
- Shape Data Strategy: Partner with senior engineering and leadership to define where data creates the most leverage, elevating the function beyond basic analytics toward real business impact.
- Experience: 4+ years in data engineering or data science, with a track record of owning and delivering complex data projects end-to-end as an individual contributor.
- Technical Skills: Proficiency with modern data engineering and data science stacks and tools; hands-on experience with data lakes, read replicas, and distributed data systems.
- Business Acumen: Drive and demonstrate ability to deeply understand business context and product goals—you seek out the ‘why’ before building the ‘what.’
- Problem Formulation: Creative problem solver who translates ambiguous business questions into well-scoped data problems with measurable outcomes.
- Independent Execution: Proven track record driving projects from initial scoping through delivery without requiring close direction; you own outcomes, not just tasks.
- Communication: Strong ability to communicate technical concepts and findings to non-technical stakeholders, including senior leadership.
- Collaboration: Comfortable working across engineering, product, and leadership teams in a fast-moving startup environment.
- Familiarity with LLMs, AI agents, or evaluation frameworks for generative AI systems.
- Founding data engineer or early data team experience at a high-growth startup.
- Background that spans product management and data engineering, with the ability to bridge both worlds.
- Exposure to legal tech or other complex verticals.
As an early-stage startup, we offer a competitive compensation package that includes base salary, meaningful equity, and benefits. Equity grants are designed to ensure employees share in the long-term success and upside of the company.
Base Salary by Location
Seattle, WA: $185,000 - $220,000 annually
San Francisco, CA: $185,000 - $220,000 annually
Actual compensation may vary outside of these ranges based on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and geographic location.
Compensation & Benefits
- 💰 Competitive Salary + Meaningful Equity
- 💹 401(k)
- ⚕️ Health, Dental, Vision, and Life Insurance
- 🏝 Flexible Time Off + Holidays
- 🧑💻 High-autonomy work environment, every Tuesday is a Remote Work Day
- 🥗 DoorDash subsidies for breakfast and dinner; Daily lunch options
- 🧋 Boba Wednesdays
- 🚃 Monthly commuter subsidies and pre-tax parking contribution
- 🚀 Team gatherings and offsites
Supio participates in E-Verify, an employment authorization program through the U.S. Department of Homeland Security and the Social Security Administration.
Supio is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.
Top Skills:
Agent OrchestrationAPIsBigQueryClaude CodeCursorCustomer Data Platform (Cdp)Data WarehouseDatabricksDbtEltETLHightouchLlmsMarketing AutomationPythonRetrieval PipelinesSalesforceSegmentSnowflakeSQLWeb Analytics
Real Estate • PropTech
Design, build, and support complex batch and streaming data pipelines from structured and unstructured sources. Collaborate with engineering and analytics to deliver accurate, performant data, automate processes, maintain dev/test/prod environments, and participate in on-call rotation.
Top Skills:
JavaMySQLPostgresPythonSnowflakeSQL
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead design and implementation of data architecture, ETL/ELT pipelines, data models, warehouses and lakes. Ensure data governance, security, cloud deployments, performance and cost optimization. Coach and manage team members, partner with stakeholders, and drive data-driven solutions for clients.
Top Skills:
Amazon DynamodbAmazon RdsAmazon S3AWSAws CloudformationAws GlueAws LambdaAzureAzure Cosmos DbAzure Data FactoryAzure Data Lake StorageAzure FunctionsAzure Resource ManagerAzure Sql DatabaseDatabricksDevops (Aws/Azure/Gcp)GCPGoogle Cloud FunctionsGoogle Cloud StorageGoogle DataflowGoogle DataprocHadoopIamJavaKafkaPythonScalaSnowflakeSparkSQLTerraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
