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Job Description
Who we’re looking for
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.
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.
Compensation
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.