Product Manager, Pay and Safety — Handshake AI

Handshake•San Francisco, CA

1d•Hybrid

About The Position

Handshake AI matches domain experts with leading AI companies to train frontier models. We're hiring a Product Manager for our Pay & Safety squad to own how we pay our fellows and how we keep our marketplace trustworthy. Tens of thousands of fellows rely on HAI to pay them accurately and on time every week. The Pay team has built the foundation, including admin-managed payroll, referrals at scale, and incentives tied to pipeline stage, but the surface area is growing faster than the team can keep up with. You'll own the roadmap for what's next, including withholding tax compliance, off-platform time tracking, in-product adjustments, international payouts, and securing payroll against fraud. You'll also lead the team's expansion into Trust & Safety. Fraud detection at HAI today is largely manual. Operators run queries by hand and react after customers flag bad actors. The gap costs us millions of dollars per month between payouts to fraudsters, false-positive churn, and lost revenue. Your job is to move detection from reactive to proactive: ingest the relevant risk and trust signals, build the system that acts on them, and give operators tooling that replaces the manual work they do today. You'll be part of a cross-functional squad with engineers and designers, working closely with Operations, Finance, T&S, and Growth.

Requirements

3+ years as a product manager shipping production code with engineering teams.
Experience with payments, payroll, billing, or another money-movement product where bugs have real financial consequences.
A track record building tools for internal users like finance, operations, T&S, or similar.
Comfortable reasoning across systems with many inputs and dependencies (KYC, tax forms, IP data, device fingerprints, project allocations, audit logs).
Data-informed and action-oriented. You use precision/recall, payout error rates, and on-call volume to prioritize, and you move quickly once the signal is clear.

Nice To Haves

Background in trust & safety, fraud detection, identity verification, or risk operations
Familiarity with Cinder, Persona, Stripe Connect, or similar infrastructure
Experience at a marketplace, gig platform, or human-data company
Exposure to AI/ML data pipelines or annotation workflows

Responsibilities

Pay platform. The roadmap for accurate, on-time pay. Active areas include payroll automation (replacing the Hex workflow with the admin dashboard), withholding tax support, in-product adjustments and incentives v2, off-platform time tracking for Otter and Moose, and HAI international payouts.
Trust & Safety platform. Build out HAI's proactive fraud detection system. This covers ingesting 50+ risk and 10+ trust signals (in Cinder and internally), launching a Fraud Center, guided PII verification flows by risk level, automated actioning, and IP/VPN/persona improvements.
Operator tooling for Pay & Safety. Our team currently fields pay disputes and runs fraud queries manually. Your job is to build the dashboards, status systems, and self-serve flows that reduce that work.
Goals and metrics. Define and track targets including: % of payouts executed without manual adjustment, weekly withholding tax exposure, monthly referrals, customer-flagged fraud rate, fraud detection recall and precision, median time to verify, and % of verifications automated.
Cross-functional partnership. Work with Finance on payroll and tax, with T&S on signals and policy, with Growth on referrals GTM, and with sibling squads where workflows overlap.