Product Strategy & Vision. 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.
Team Leadership. 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.
Cross-Functional Partnership. 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.
Executive-Level Prioritization. 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.
Metrics & Accountability. 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.
Customer & Market Fluency. 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.
Scaling the Platform. 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.