Supio Logo

Supio

Software Engineer, Core Product (Mid–Senior+)

Posted 2 Days Ago
Hybrid
Seattle, WA
185K-260K Annually
Mid level
Hybrid
Seattle, WA
185K-260K Annually
Mid level
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.
The summary above was generated by AI
About Us  

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

E-Verify Participation Notice  
Supio participates in E-Verify, an employment authorization program through the U.S. Department of Homeland Security and the Social Security Administration. 

Equal Employment Opportunity (EEO) Statement 
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

Similar Jobs

16 Minutes Ago
Remote or Hybrid
United States
155K-190K Annually
Expert/Leader
155K-190K Annually
Expert/Leader
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
This role involves originating and managing agricultural loans, fostering relationships with clients, and overseeing the agricultural investment portfolio in Southern states.
Top Skills: Ai PlatformsDatabase ManagementDigital Sales Techniques
An Hour Ago
Hybrid
141K-225K Annually
Senior level
141K-225K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
The Data Scientist III will design online experiments, develop models for causal inference, ensure data quality, and communicate insights across teams.
Top Skills: A/B TestingCausal Inference TechniquesPythonSQLStatistics
An Hour Ago
Remote or Hybrid
United States
125K-177K Annually
Mid level
125K-177K Annually
Mid level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
The Product Owner II drives product strategy and backlog management by collaborating with cross-functional teams, focusing on enhancing underwriting processes through analytics and AI solutions, ensuring alignment and delivering business value.
Top Skills: Agile MethodologiesAIData ScienceMachine LearningUnderwriting Systems

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account