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Fixify

Product Manager

Posted 16 Hours Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Product Manager will drive roadmap projects, handle cross-product communication, and ensure product readiness while focusing on customer needs and AI integration.
The summary above was generated by AI

Full-Time | Remote (United States)

It's the third customer call this week where someone's described the same friction — not as a feature request, not as a complaint, just as the awkward part of their Tuesday. Most PMs would file three tickets and move on. You see the pattern, write it up as a one-pager that reframes the problem, and by the time the roadmap review hits you've already lined up Engineering and Data Science on what a cleaner answer looks like. Nobody asked you to connect those dots. That's the job.

You're a driver. You've shipped products real external customers use — not just internal tools. You write specs Engineering doesn't need to clarify. You sit with the people actually using the product. You anchor decisions in what's true for the customer, not what's easiest to build. Claude and ChatGPT are open while you do it — multipliers on judgment that's your own, not substitutes for it.

Fixify is a Series A startup building an AI-native IT automation platform — we pair AI with human IT analysts to handle the work that used to bury IT teams. We have customers, revenue, and a clear point of view on how humans and AI work together. The product is growing, and we need a PM who can move across product areas, drive what needs driving, and own the cross-product practices that keep the team predictable.

This role is dual-mandate by design. You'll drive specific roadmap projects across whichever areas need you most, and you'll own the connective tissue — feedback loops from Sales, CS, and our internal Operations team; Linear and roadmap hygiene; release readiness; and the customer-facing docs, FAQs, and release notes that ship with every release. You'll report to the VP of Product. Senior PMs own product areas; you rotate across them on the projects most in flight.

If you like real ownership, real visibility, and the variety that comes from working across the whole product, let's talk.

What we can do for you
  • Real projects, real ownership, real visibility — from day one
  • A seat at the table with the VP of Product, Senior PMs, Engineering, Data Science, UX, and our internal Operations team
  • A product where AI sits at the core, not bolted on
  • Range, fast — you'll work across product areas instead of getting boxed into one
  • Peers who care about customer evidence, technical rigor, and outcomes that move
What you can do for us
  • Drive your roadmap projects across whatever areas they live in — discovery through launch
  • Run discovery with UX, talk to customers, ride along with our internal Operations team, and turn it into specs that build cleanly
  • Pull your own data in Hex (with Claude or ChatGPT as your wingman) to size, prioritize, and measure
  • Spot when ML or GenAI is the right answer and scope it with our Data Science lead
  • Run the cross-product feedback loop on a steady cadence — Sales, CS, internal Operations, customer conversations
  • Keep Linear and the roadmap honest — visible, prioritized, predictable
  • Own product-wide release readiness, FAQs, release notes, and customer-facing docs
  • Use Claude, ChatGPT, and Hex every day as multipliers on your judgment — not as a substitute for talking to customers, owning the spec, or making the call
What you should bring with you
  • 4+ years as a Product Manager. 
  • A real shipping track record on products real external customers use — you've personally owned discovery, requirements, delivery, or launch
  • Customer-anchored judgment — you know the difference between what Engineering can build and what will actually solve the problem, and you push for the latter
  • Working knowledge of AI tools for product work — discovery synthesis, requirements, customer docs, prototyping
  • Working knowledge of product analytics in Hex, Claude, or ChatGPT — you don't wait on the data team
  • Specs Engineering and Data Science can build from without ambiguity
  • B2B SaaS preferred; IT ops, ITSM, security ops, or adjacent enterprise IT is a plus
  • Clear communication, steady judgment under ambiguity, and the gumption to keep things moving without being asked

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