Product Lead, Handshake

• Founder, early-stage, or high-growth experience preferred
• 6+ years of product management experience, ideally in consumer or marketplace products
• Experience building and launching 0→1 products with strong technical and design partners
• Proven ability to lead and grow technical teams (5+ people including engineers)
• Strong product sense: able to prioritize high-impact bets and ruthlessly scope
• Experience working with LLMs or AI-powered user experiences (or eagerness to dive in)
• Exceptional communication and storytelling: you're comfortable interfacing with execs, engineers, users, and customers alike

Desirable

• We’re looking for a Product Lead to own one of the most ambitious initiatives at Handshake AI: building our AI Interviewer and job matching product
• This system will be the foundation for how we understand candidates and jobs, extracting structured data from unstructured interviews, matching people to roles they'd actually say yes to, and enabling employers to make faster, higher-signal hiring decisions
• You’ll lead a cross-functional team of engineers and designers to bring this product to life, owning everything from 0→1 MVPs to scaled experiences across our user base
• As a Product Lead at Handshake AI, you will take direct ownership of product strategy and execution for a key area of Handshake AI's business
• You’ll lead initiatives that align with the company’s highest priorities, while working cross-functionally with teams and stakeholders across the organization
• Product leaders in this role will influence beyond their immediate team and deliver outcomes that drive impact at the organizational and company-wide level
• Design AI-first experiences (like voice interviews) to capture key info on candidates’ skills, interests, and experiences
• Capture structured data from hiring managers on open roles, ideal profiles, and must-have traits
• Use LLMs to extract, structure, and reconcile candidate and job data from interviews
• Build a matching algorithm that ranks opportunities for each candidate, and ranks candidates for each role
• Deliver matches with rationales and allow candidates to express interest
• Let HMs define the interview questions and rubrics for their role
• Run personalized automated interviews for top-matched candidates
• Score candidate responses against rubric criteria and surface the best profiles for in-person interviews
• Shorten time-to-hire with better pre-screening
• Increase signal for in-person interviews
• Establish a data-driven feedback loop to continuously enhance match quality
• Build usage analytics to optimize product performance and team workflows