Head of Product

You'll lead the product organization at Manifest, reporting to our CPTO and managing four PMs from Headway, Intuit AI, Instacart, and DoorDash. You'll scale the team toward roughly 7 PMs over the next year, partnering closely with engineering, design (a founding designer plus a growing team), legal, and operations.

Ideal experience:

• 8+ years of product experience, with at least 3 of those leading and shipping at high velocity in complex workflow domains. You've had 5 to 10 PMs report to you in a startup context (Series A to C), not a big-company exec background.
• Built products in operationally heavy businesses where the workflow is the product. Workflow automation experience is essential; system-of-record experience strongly preferred.
• AI-fluent practitioner: prototyping, generation, and AI-assisted coding are part of your default workflow. You use Cursor, V0, Claude, and similar tools daily as real productivity multipliers, and you're comfortable opening AI-assisted PRs to validate an idea or unblock the team rather than waiting for engineering to do it for you.
• Player-coach in the deepest sense. You write specs, sit with attorneys to understand their workflows, prototype in V0 or Figma, and ship alongside your team daily. You don't manage from a slide deck.
• Tactical leadership at scale: you map out the year and then make the quarter-by-quarter calls about what gets built, what gets cut, and how to balance immediate user papercuts against larger workstreams without losing the plot on either.
• Obsessive about workflow depth. You don't ship a feature and move on. You sit with the workflow until you understand it end-to-end, then design the version that makes the problem go away for good.
• Strong communicator who thrives in a fast-moving, high-candor, in-office environment.

What You'll Own: You'll own the roadmap and tactical prioritization across Manifest's product surface area. You'll partner with our CPTO on top-level strategy, map the year, and make the quarter-by-quarter calls on what gets built, what gets cut, and how to balance daily papercuts against larger workstreams. The scope is enormous: attorneys, paralegals, beneficiaries, internal ops, and a full B2B suite (global mobility managers, recruiters, CFOs, in-house counsel), with international expansion adding sovereign-workflow complexity. The system being built for immigration will serve as the foundation for future practice areas. The role is fundamentally tactical and hands-on: you'll obsess over workflow depth, solve problems once and for all rather than ship fixes that paper over recurring issues, lead and grow the PM team, and partner directly with our CPTO, VP of Engineering, founding designer, and operating leaders. Manifest is AI-native at every level, and you'll operate that way.

This for you if: You want to lead a product team where the work is real, the surface area is enormous, and the bar for craft is high. You're a player-coach in the deepest sense: prototyping on a Tuesday, shipping with the team by Friday, and sitting with paralegals on Monday to understand what's actually breaking. You think AI-natively: prototyping, generation, and AI-assisted coding are part of your daily workflow, not features you bolt onto a classical product. You'd rather dig into a workflow and ship the version that solves the problem for good than chase shallow wins or paper over recurring issues. You're energized by the tactical reality of balancing immediate user papercuts against bigger workstreams, and you're confident making the quarter-by-quarter calls when nobody else has the context.

Not for you if: This isn't for product leaders who manage from a slide deck, prefer big-company process, or who'd rather set strategy from the top than partner on shipping it. The center of gravity here is execution, leadership, and tactical depth at scale. It's also not for feature-factory PMs who ship and move on, or whose default response to a recurring papercut is a quick fix rather than digging into the workflow until the problem is solved for good. Same goes for AI-skeptics: if your default treats AI as a feature category to add to a product rather than as a building block for how product gets made, the role won't play to you.