[Remote] Product Engineer

Note: The job is a remote job and is open to candidates in USA. Advocate Technologies is building a common data standard and network for commercial insurance policies. The Product Engineer will lead a platform squad and own product features end to end, working across the stack to build data-rich workflows, apply AI tooling, and deliver customer-facing solutions.

Responsibilities

• Own features end to end, from scope through build, deploy, and iterate, with unusual latitude on how they get built
• Work across the stack when the problem requires it: interface, API surface, data model, background jobs
• Turn dense, structured insurance data into interfaces a broker, lender, or underwriter reaches for every day
• Define what your work needs from adjacent squads, whether that is data captured, an endpoint exposed, or a permission scoped, and raise the dependency before it becomes a blocker
• Use AI tooling aggressively as leverage. We expect engineers here to ship at a volume that only makes sense with agents in the loop
• Contribute to the eval and benchmarking work that decides which models we trust with customer data, and where our own harness beats a raw model call
• Bring product judgment: push back on requirements that don't hold up, propose the simpler version, kill the feature that isn't earning its keep

Skills

• 2+ years building production web applications. This role can be a fit for someone with 2 years or 15 years of experience. What matters is the ability to think about a problem and ship to completion
• Advanced, daily use of AI tools (Codex, Claude Code, agentic workflows)
• Comfort working across the development stack
• Experience with data-heavy products: dashboards, analytics tools, pricing platforms, internal tools with real complexity
• Strong product instinct and a bias toward shipping. Desire to solve product problems
• High autonomy in a small team. You don't need process to make progress
• Hybrid and remote working options available
• Exposure to insurance, financial services, or another regulated, data-dense industry
• Experience with real-time data, index, or benchmark products
• Early-stage experience where you wore several hats at once
• Interest in market structure and pricing transparency

Benefits

• Equity / stock options, granted in addition to base salary
• Health & wellness: standard health benefits
• Hybrid work model + work-from-home stipend
• Learning & development budget + team events
• Mentorship from industry leaders (ex-Goldman Sachs, Apollo, Shopify, Productboard, and more)

Company Overview

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