VP of Product

• Set and own Curri's product vision and roadmap.
• Build ROI discipline into the roadmap by putting a value on every opportunity and prioritizing against it, the way Sales manages pipeline value. For automation, that means valuing bets by the ops work they remove.
• Close the loop on every bet: define success metrics before building, instrument what ships, and compare actual results against the original estimate. Use that track record to sharpen future sizing.
• Work with the executive team to turn company strategy into a focused, prioritized product plan, and represent that plan to leadership.
• Partner with Engineering as a true thought partner to work through trade-offs, drive execution, and ship on fast cycles.
• Get on sales calls for strategic deals. Run product demos, handle product objections and gaps directly, and help shape what we commit to in enterprise contracts. Bring win/loss patterns back into the roadmap.
• Own quality for AI-driven features, including evals, failure modes, cost, and latency, and the guardrails customers need before they trust automation in their operations.
• Set the bar for how the PM team works with AI: prototyping with AI tools instead of writing long specs, and moving from idea to working demo in days.
• Lead and grow the product management team from three PMs today toward four to six, spending most of your time on leadership and cross-functional work with Engineering, Growth, Operations, and the exec team.
• 10+ years in product, including 4+ years managing product managers, with a track record of growing into product leadership where the title reflected real scope.
• Strong conviction as a product visionary: you form a clear point of view on where the product should go, ground it in customer evidence, and hold it steady against competing priorities.
• Real energy for customer-facing work, from running customer advisory boards to pitching the roadmap alongside Sales, with the ability to leave customers excited about what is coming.
• Experience supporting enterprise sales cycles, including demos, product objections, RFPs, and security or integration reviews, with a track record of helping close deals without overcommitting the roadmap.
• Business and ROI rigor: experience building business cases for product investments and using opportunity sizing to make and defend prioritization calls.
• Strong product analytics instincts. You can define the metrics that matter, pull your own data from tools like PostHog or SQL, and run experiments and staged rollouts without waiting on a BI team.
• Shipped AI or ML features to production that users experienced as part of the product rather than a separate add-on, and stayed with them after launch through the messy parts: evals, edge cases, and adoption.
• Personal fluency with current AI tools. You use them every day, build prototypes yourself, and have opinions on what is hype and what is leverage.
• A hands-on leadership style that pairs executive communication and cross-functional influence with a willingness to roll up your sleeves and do the work alongside the team, rather than managing from a distance.
• Product leadership experience at a marketplace company.
• Having built agentic or automation products in operations-heavy domains like logistics, marketplaces, or field services.
• Having built or scaled a product org at a similar growth stage.
• Having brought a new layer of discipline, such as ROI modeling or opportunity sizing, to a product team that lacked it.
• What is in it for you?
• Real space to shape, or overhaul, the roadmap of an AI-native platform, with big bets ahead in automation, internationalization, and expansion into new verticals.

None flagged.