What you'll do- 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.
Qualifications- 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.
You're a strong fit if you - 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.
CompensationAs 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
