The most advanced legal AI that transforms how personal injury law works—delivering better outcomes for attorneys, firms
The Role
As a Software Engineer at Supio, you will develop end-to-end product experiences, focusing on building scalable systems, AI-driven features, and core backend services while collaborating with cross-functional teams.
Summary Generated by Built In
About Us
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.
Who We’re Looking For
We’re looking for product-minded engineers who enjoy building across the stack and owning problems end-to-end. We value depth and engineers who are comfortable stepping outside their comfort zone when the problem calls for it.
If you’re front-end leaning, you care about crafting intuitive, performant, and accessible user experiences, and you collaborate closely with product and design to bring ideas to life.
If you’re back-end leaning, you enjoy designing scalable systems, building clean APIs and data pipelines, and ensuring reliability in production. You’re comfortable working in Python and thinking through architecture and performance.
You’re excited about applying LLMs and AI in real-world products from powering user-facing features to building evaluation and production workflows.
What You’ll Build
- End-to-end product experiences that define how customers interact with our platform - from polished, intuitive interfaces to the scalable systems behind them
- AI-driven capabilities powered by LLMs, turning research and experimentation into production-grade features used in high-stakes, real-world workflows
- The core backend services, APIs, and data pipelines that power evaluation, orchestration, and intelligent decision-making at scale
- High-performance, reliable systems designed to handle growing volume, complexity, and customer demands
- The internal tooling, monitoring, and infrastructure that ensures our AI workflows are accurate, observable, and continuously improving
You won’t just ship features — you’ll shape the architecture, technical direction, and foundations of a rapidly evolving AI-driven platform.
What You’ll Bring
- Experience shipping production software and owning meaningful systems or product areas
- Strong proficiency in either modern front-end development (e.g., React, TypeScript) or backend systems (e.g., Python, APIs, data pipelines), with the ability to work across the stack when needed
- Experience designing scalable, reliable systems and thinking through architecture, performance, and long-term maintainability
- Solid engineering fundamentals, including testing, code review, and iterative development practices
- Ability to translate ambiguous problems and customer needs into clear technical solutions
- Strong collaboration and communication skills in cross-functional environments
Nice to have:
- Experience working with LLMs, AI/ML systems, or data-intensive applications
- Familiarity with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns
- Experience in startup or high-growth environments
How Leveling Works
We intentionally hire this role across multiple levels. During the interview process, we assess technical depth, ownership, system thinking, and impact. Final leveling and compensation are determined based on demonstrated ability and experience.
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: $185,000 – $260,000 annually
This range reflects compensation across multiple levels within this role. Actual compensation will be determined based on a candidate's qualifications, skills, 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.
Top Skills
AWS
Azure
GCP
Python
React
Typescript
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The Company
What We Do
Supio is committed to providing solutions that allow lawyers and paralegals to get more out of technology. Supio understands the role our customers play in their daily work and more importantly, what they truly need to uncover from data. We give our customers the capacity to deliver consistent quality to their clients, get more insights, do more meaningful work, and explore more possibilities.
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