Senior Product Manager (AI-Native)

FieldFlō is a management platform purpose-built for specialty subcontractors in construction and field services. They are seeking a Senior Product Manager who will own product surface area end-to-end, ship AI capabilities, and partner with the CPO and engineering to shape the company's next chapter.

Responsibilities:

• Own product surface area end-to-end — from discovery through specs, build partnership, launch, and post-launch iteration — across the core platform and the AI capabilities within it
• Operate with high ownership across multiple parallel initiatives, taking work from problem to ship with minimal oversight
• Ship AI-powered product capabilities that materially change how specialty subcontractors estimate, plan, and run their work — LLMs, intelligent extraction, automation, recommendation, and beyond
• Run a modern, AI-leveraged PM workflow across feature ideation, roadmap planning, product analytics, user research synthesis, competitive analysis, spec writing, and prototyping — and be 5–10x more productive than a PM who isn't
• Talk to customers constantly — run discovery interviews, synthesize signal into themes, and bring sharp, evidence-backed problem statements into product decisions
• Define the metrics that matter, instrument them, and use quantitative and qualitative signal together to decide what to build, what to kill, and what to double down on
• Write opinionated, decision-rich PRDs and partner closely with engineering and design to ship features fast and right
• Use AI-assisted prototyping to turn ideas into clickable artifacts in days, not weeks, so we ship the right thing the first time
• Maintain a living view of the competitive and market landscape so we make non-obvious bets with eyes open
• Enable sales, CS, and marketing with the positioning, demos, and proof points they need to turn shipped features into pipeline and retention

Requirements:

• 5+ years of product management experience, including 2+ years owning meaningful product surface area at a B2B SaaS company
• Demonstrated experience shipping AI/ML product capabilities that real customers use — LLM-powered features, intelligent automation, extraction, recommendation, or similar — with the depth to discuss the tradeoffs you navigated
• Advanced, daily-driver fluency with AI tools across the PM craft — concrete examples of how you use AI for ideation, research synthesis, analytics, competitive analysis, specs, and prototyping
• A high-ownership, fast-moving operating style — you think in hours and days, not weeks and quarters, and bring momentum to everything you touch
• Strong product fundamentals — discovery, judgment, prioritization, written and verbal communication, and the instincts to know when to dig deeper and when to ship
• Comfort with ambiguity and operational complexity — you can walk into a messy domain, build a mental model fast, and start making good calls before everything is mapped
• Experience in vertical SaaS, especially construction, field service, or other operationally complex industries
• Familiarity with specialty subcontracting — demolition, abatement, environmental remediation, or adjacent trades
• Hands-on background with document extraction, computer vision, or applied LLM systems in a product context
• Experience working closely with a founder or CPO in a small, fast-moving product org
• Track record of building and operating product analytics stacks (Pendo, Amplitude, or similar)
• A portfolio of shipped AI features you can walk through in detail