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Outmarket is changing how commercial insurance works by making data useful instantly. Our AI-powered platform helps brokers, MGAs, and carriers extract structured insights from PDFs, spreadsheets, emails, portals, and other fragmented sources. We do not just ingest data, we operationalize it.
Our team is building infrastructure and workflows that turn messy information into usable intelligence for real customer decisions.
We are hiring a Product Lead - Data to own one of the most critical parts of the platform: the systems that transform fragmented, unstructured inputs into clean, actionable data. This is not a coordination-only PM role. We want someone who can operate at the center of product, data systems, AI workflows, and customer value.
You will define the roadmap for data ingestion, enrichment, and workflow intelligence in close partnership with engineering, AI, and customer-facing teams.
Own a product area that sits at the center of Outmarket’s platform advantage.
Work directly with founders and a highly experienced engineering team.
Define how the product connects to PDFs, portals, spreadsheets, APIs, and external systems at scale.
Help create a category-defining system of intelligence in a large industry.
Lead a roadmap with direct customer impact and fast feedback loops.
Own the roadmap for data ingestion, enrichment, and pipeline products.
Define how Outmarket captures and processes data across formats such as PDFs, portals, APIs, spreadsheets, and emails.
Partner with AI and engineering teams to design scalable workflows for cleaning, validating, and mapping incoming data.
Drive integration strategy with carriers, rating engines, AMS platforms, and submission portals.
Work closely with customer-facing teams to understand pain points and remove blockers to adoption.
Prioritize aggressively, test rapidly, and ship improvements on a frequent cadence.
Help define the product and operating model for one of the most technically important parts of the business.
5+ years of product management experience, ideally in data platforms, ingestion pipelines, or B2B SaaS.
Strong understanding of ETL, APIs, OCR, and structured versus unstructured data challenges.
Track record of building data infrastructure products or platform-level capabilities.
Ability to translate messy business needs into clear product requirements and workflows.
Comfort working hands-on with engineers and customers to prototype, test, and improve solutions.
Strong prioritization skills and comfort in a fast-paced environment.
Strong judgment about where data quality, workflow design, and product usability intersect.
Experience in insurance technology, fintech, or enterprise data platforms.
Familiarity with data mapping, entity resolution, enrichment models, or schema design.
Exposure to AI-assisted data extraction or LLM-driven document processing.
Ownership of one of the most critical product areas in the company.
Competitive compensation and early equity.
Direct influence over the product roadmap for data.
A fast-moving, low-politics environment with strong customer pull.
Remote-first flexibility and direct access to leadership.
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