Senior Product Manager

We're looking for a Senior Product Manager who operates at the intersection of AI, the insurance domain, and hands-on execution. You won't be managing from slide decks you'll be writing extraction prompts, defining field mappings, specifying API contracts, and sitting with engineers as features take shape. This role demands someone equally comfortable dissecting an ACORD 125 form, writing a PRD for an LLM extraction pipeline, and presenting a workflow redesign to US-based stakeholders. If you've only done roadmap theatre and stakeholder management without getting into the weeds of how the product actually works, this isn't the right fit.

Responsibilities:

• End-to-end product ownership for core platform modules: submission intake, document extraction, underwriting workflow, and carrier/MGA integrations.
• Author detailed PRDs, extraction specifications, and API contracts that engineers can build from directly, not vague epics that need three rounds of clarification.
• Define and iterate on LLM extraction prompts and multi-pass architectures (e. g., OCR pass + structured extraction pass) in collaboration with engineering.
• Own the submission UX end-to-end LOB selection flows, broker intake forms, fallback states, triage logic, and underwriter-facing dashboards.
• Drive third-party platform integrations including field mapping, schema alignment, and acceptance criteria.
• Run product discovery for new insurance verticals and LOBs, understand the underwriting workflow, identify extraction requirements, and spec the build.
• Engage directly with clients, leading demos, presenting platform capabilities, managing status communications, and translating client feedback into actionable product priorities.
• Define product analytics instrumentation and use data to drive iteration, not just report on it.
• Manage cross-functional delivery across engineering, QA, and US-based business teams with clear communication and minimal handoff friction.
• Contribute to client-facing deliverables, status updates, integration decks, and demo narratives when the situation demands it.

Requirements:

• 8+ years of professional experience with at least 3 years in a product management role at a B2B SaaS or platform company.
• Demonstrated experience building AI/ML-powered products; you've worked with LLMs, NLP, document understanding, or intelligent automation in production, not just prototyped with an API.
• Hands-on, technical product management style: you can read API docs, write extraction prompts, review database schemas, and hold your own in architecture discussions.
• Daily, habitual use of AI tools in your PM workflow: Claude, ChatGPT, Copilot, or equivalent for research, spec writing, data analysis, and decision-making.
• Strong PRD and spec-writing ability: you produce documents that engineers actually want to read, with clear scope, edge cases, and acceptance criteria.
• Experience with complex workflow products: multi-step processes, state machines, approval chains, or document pipelines (insurance domain is a plus, not a requirement).
• Ownership mindset: you don't wait for perfect information; you make the best decision with what's available, ship, learn, and adjust.
• Excellent written and verbal communication: you can operate across time zones with US-based leadership and translate between business stakeholders and engineering without losing fidelity.

Nice-to-Have:

• Domain experience in insurance (P& C, MGA/MGU, brokerage, underwriting, claims) or adjacent regulated industries (fintech, healthtech, legaltech).
• Familiarity with insurance data standards, ACORD forms, policy admin systems, rating engines, and COI workflows.
• Experience with product analytics platforms (PostHog, Amplitude, Mixpanel) and instrumentation strategy.
• Background in enterprise integrations, REST APIs, XML/EDI schemas, webhook architectures, and third-party platform onboarding.
• Prior experience at a startup or early-stage company where you wore multiple hats.
• CSPO, Pragmatic Institute, or equivalent product certifications.
• MBA or advanced degree in a quantitative or business discipline.

Skills

API, EDI, LLM, NLP, OCR, REST, XML, document understanding, intelligent automation, product, webhook