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outmarket - Product Manager - Workflows

Remote - US+ Equity2d ago

Remote Mid NA Insurance Software Product Manager B2B SQL Data Analysis

Requirements

• 5+ years of product management experience, with at least 2 years in B2B SaaS. • Experience working with engineering teams building AI-enabled products. • Comfort discussing how AI outputs are evaluated and how product design can build trust in AI behavior. • Strong use of AI tools in your own work to accelerate research, writing, and synthesis. • Strong written communication and the ability to explain product rationale clearly. • Strong UX instincts and the ability to simplify complex processes. • Comfort speaking with users, understanding operational pain, and designing practical solutions. • The ability to move quickly without getting sloppy. • Direct experience working at or closely with a retail broker, wholesaler, or MGA. • Familiarity with commercial P&C lines or Employee Benefits. • Experience building document-processing or workflow automation products. • Comfort with SQL or basic data analysis. • Previous startup experience, especially in a Series A to Series C environment. • WHAT YOU’LL GET • Real ownership of products that insurance teams rely on daily. • Competitive compensation and meaningful equity. • Direct access to users and strong influence on roadmap decisions. • A builder-oriented culture with fast execution and low ego. • Remote-first flexibility with a distributed, high-performing team.

Responsibilities

• Work closely with users to understand operational pain points and translate them into product decisions. • Serve as a connective partner between go-to-market and engineering teams. • Design scalable workflow experiences that reduce manual effort and improve operational quality. • Partner with engineering to layer intelligence into key workflow steps. • Measure adoption, usage, and business impact, and iterate based on results. • Support pilot deployments, beta releases, and expansion into new lines by translating commercial needs into product priorities. • Make judgment calls in areas where customer need, product quality, and AI behavior all intersect.

Benefits

• Work directly with users and turn real operational pain into product improvements. • Build AI-enabled workflow software with meaningful day-to-day customer impact. • Operate in a high-ownership environment with short feedback loops. • Partner closely with engineering and go-to-market teams to ship useful, polished features. • Help shape how AI is applied in a practical, trusted way within a traditional industry.