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

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

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

Fixify