VP of Product, Handshake AI

Handshake•San Francisco, CA
•$340,000 - $380,000•Remote

About The Position

We're hiring a VP of Product to lead product for Handshake AI. This is not a "head of" role in name only—you will be the product leader for one of the fastest-growing AI startups in the country, owning the strategy, roadmap, and execution that determines how fast and how well we scale. You'll sit at the center of a business that is compounding quickly: new customers, new data modalities, a growing operator and fellow ecosystem, and an increasingly complex set of platform needs. Your job is to turn that complexity into a coherent product organization—one with clear strategy, strong PM talent, and a roadmap that keeps pace with (and gets ahead of) the business. You'll report into the CPO, sit on the senior team, and partner directly with Engineering, Design, Operations, and Sales/Customer leadership to shape where Handshake AI goes next.

Requirements

  • 12+ years in product management, including 4+ years as a senior product leader managing other PMs and managers, ideally at a high-growth startup.
  • Experience owning product for a business (or major business line) growing quickly, with a demonstrated ability to build strategy and org structure that scale with revenue.
  • Strong operational intuition—you've built or overseen platforms for internal users, operations teams, or complex two-sided marketplaces, not just consumer-facing features.
  • Track record hiring and developing product talent, including PMs who own ambiguous, 0→1 problem spaces.
  • Systems thinker who can hold a multi-modality, multi-stakeholder roadmap in their head and make coherent trade-offs across it.
  • Comfortable operating in high ambiguity: the market, the customer needs, and the product surface area are all still being defined.
  • Data-informed but action-oriented—you use metrics to prioritize, but you move with conviction when the signal is directional rather than definitive.
  • Excellent executive communication; you can represent product strategy credibly to the C-suite, the board, and customers.

Nice To Haves

  • Experience in human data, annotation/labeling, RLHF, or AI training data ecosystems.
  • Experience building or scaling a marketplace or platform business (two-sided, operator/worker-facing, or similar).
  • Prior experience at a fast-growing AI lab, data company, or enterprise SaaS company through a period of hypergrowth.
  • Experience building career, talent, or workforce products.

Responsibilities

  • Set the product strategy for Handshake AI as a whole—across data modalities, the operator and fellow platforms, and customer-facing surfaces. Translate "become the career network and data engine for the AI economy" into a concrete, sequenced roadmap.
  • Build, lead, and grow a product organization of PMs across modalities and platform pods (e.g., Operator Experience, Fellow Experience, modality-specific pods like Coding). Hire exceptional product talent, set the bar for craft and rigor, and develop the managers and ICs on your team.
  • Be the connective tissue between Engineering, Design, Operations, and GTM. Ensure the product org's priorities reflect both what customers need and what will scale the business fastest, and that trade-offs across pods are made coherently rather than in silos.
  • Make and own the hard calls: which modalities to invest in, which platform capabilities to build now vs. later, and where to say no. Communicate strategy and trade-offs clearly to the exec team and the board.
  • Define what success looks like for the product org—revenue enablement, quality outcomes, operator/fellow efficiency, time-to-launch for new modalities and customers—and hold the org accountable to it.
  • Spend real time with AI labs, enterprise customers, and internal stakeholders to understand how the market is evolving. Use that fluency to keep Handshake AI ahead of where the human-data category is heading, not just responsive to it.
  • Ensure the underlying product and operational platform can flex to new customer types, data types, and volumes—so growth in revenue doesn't require linear growth in headcount or one-off engineering.

Benefits

  • Equity in a fast-growing company
  • 401(k) match
  • Competitive compensation
  • Financial coaching
  • Paid parental leave
  • Fertility benefits
  • Parental coaching
  • Medical, dental, and vision
  • Mental health support
  • $500 wellness stipend
  • $2,000 learning stipend
  • Ongoing development
  • Internet stipend
  • Commuting stipend
  • Free lunch/gym in our SF office
  • Flexible PTO
  • 15 holidays + 2 flex days
  • Team outings
  • Referral bonuses
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