Product Manager

• Lead product strategy and execution across talent, marketplace, vetting, and platform ecosystem areas
• Own roadmap, prioritization, and execution for a core product area
• Translate ambiguous business problems into structured product plans, clear requirements, and strong execution
• Drive product development with attention to user experience, workflow design, and quality
• Use data to identify opportunities, diagnose issues, prioritize investments, and measure impact
• Partner with engineering, design, data, QA, and operations to ship high-quality products quickly
• Balance short-term execution with long-term product and platform thinking
• Build scalable systems and experiences rather than one-off features
• Communicate with senior stakeholders and drive alignment across teams with competing priorities
• Lead initiatives involving talent discovery, search and matching, onboarding, profile quality, vetting, trust and integrity, marketplace workflows, hiring manager experience, and internal operational tooling

• 2+ years of product management experience
• 2+ years of prior software engineering, Data Science, or Design experience
• Strong product sense with excellent design and UX judgment
• Ability to use metrics, experimentation, and user insights to drive decisions
• Strong technical fluency and ability to work closely with engineering on architecture, tradeoffs, and execution
• Excellent written and verbal communication
• Strong structured thinking and ability to bring clarity to ambiguous, cross-functional problems
• High ownership, urgency, and a strong bias for execution
• Bachelor’s degree in Computer Science, Engineering, Design, or a similarly rigorous discipline is preferred
• MBA from a top-tier university is a plus, but not required
• Experience with B2B SaaS, marketplace, platform, workflow, onboarding, trust/safety, search, matching, or AI-enabled products is preferred
• Strong track record partnering with engineering and design teams to ship polished user experiences is preferred

• Work at the frontier of AI, helping leading AI labs improve advanced models by building expert datasets, RL environments, and benchmarks
• Contribute to leading-edge AI research and showcase work at conferences such as ICLR, ICML, and NeurIPS
• Apply frontier AI innovation to real-world enterprise challenges
• Collaborate with exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies
• Work with startup speed, ownership, and impact
• Inclusive and authentic workplace
• Equal opportunity employment