Artificial Intelligence (AI), Benchmarking, Budgeting, Channel Strategies, Cross-Functional, Customer Relations, Data Analysis, Data Management, Data Modeling, Financial Services, Health Plan, Insurance, Internet Application, Mentoring, Needs Assessment, Pricing, Product Engineering, Product Planning, Product Strategy, Reporting Dashboards, User Interface/Experience (UI/UX), Web Production
About the role
We’re hiring a NYC based Product Engineer to own the connective tissue between product strategy and our data engine.
You will work directly with the product lead as a technical right hand on both data-related decisions and feature development.
This is not a reactive role. It is a forward-looking ownership position responsible for keeping our data platform aligned with product ambition.
What you'll do
- Own and ship front-end features in the Terminal, from comps tools to real-time index views, working directly with the lead engineer to scope, build, and iterate.
- Partner with data analysts to design and maintain the extraction, cleansing, and enrichment pipelines that feed live market products.
- Translate product roadmap priorities into data requirements to identify what needs to be captured, structured, or surfaced before it becomes a blocker.
- Build and refine the UI layer that turns complex, transaction-level insurance data into something customers want to use every day.
What success looks like
- 30 days: You understand the data model, the product surface, and how the two connect. You're shipping meaningful contributions to the Terminal.
- 90 days: You're independently owning features end-to-end: identifying the data dependency to deploying the customer-facing result.
- 6 months: You've become the person who sees gaps before they slow us down, whether that's a missing data pipeline, a UI bottleneck, or a feature the market is asking for.
What we're looking for
- 2-5 years of experience building production web applications
- Advanced use of AI tools (Claude, Agents, etc)
- Comfort working across the stack when needed
- Experience working with data-heavy products: dashboards, analytics tools, pricing platforms, etc.
- Strong product instinct
- Ability to work with high autonomy in a small team
- Minimum of 3 days in NYC office
Nice to have
- Exposure to insurance, financial services, or any regulated/data-dense industry
- Experience with data pipelines
- Familiarity with real-time data, streaming, or index/benchmark products
- Prior experience at an early-stage company or on a small product team where you wore multiple hats
- Interest in market structure, pricing transparency, or building tools that shift how an industry operates
What we offer
- Salary Range: $140,000 – $200,000 USD
- Equity / Stock Options - granted in addition to base salary
- Work-from-home stipend
- Health & Wellness: Standard health benefits
- Hybrid work model
- Learning & development budget + team events
- Mentorship from industry leaders (ex-Goldman Sachs, Shopify, Productboard, and more)