Tech Lead Manager, Fraud

Recruiting From Scratch • San Francisco, CA

4d • $130,000 - $500,000 • Onsite

About The Position

As Tech Lead Manager, Fraud , you will own one of the most critical technical functions within the company: fraud measurement and prevention. This role combines hands-on technical leadership with team ownership, setting direction for systems that underpin trust with the world’s most advanced AI organizations. You will split your time between individual contribution and technical leadership , with a strong emphasis on backend systems and platform reliability.

Requirements

• Minimum of 3+ years of relevant industry experience in backend engineering or platform-focused roles.
• Strong background in backend engineering and system design; experience owning production systems end-to-end.
• Proven individual contributor background with the ability to lead technically from the front.
• Experience managing or leading engineers while remaining hands-on with code.
• Comfort operating in fast-scaling environments and bringing structure without unnecessary process.
• Strong communicator, able to explain technical tradeoffs clearly to both technical and non-technical stakeholders.

Nice To Haves

• AI/ML experience is a plus, but not a requirement . Candidates with experience in traditional recommender systems or ranking systems (2017–2021 era) are highly relevant.
• Preferred Experience on fraud teams at gig economy or labor platforms (e.g., Uber, DoorDash, Instacart, Bird).
• Background in fintech or crypto platforms , particularly fraud, risk, or trust systems (e.g., Stripe, Coinbase, Robinhood).
• Experience at fraud or identity vendors such as Persona or Checkr.
• Familiarity with ML-powered decision systems, model evaluation, or research-adjacent infrastructure.
• Track record of balancing deep technical rigor with business alignment and outcomes.

Responsibilities

• Set the technical direction for a high-impact fraud prevention function central to the company’s core platform.
• Lead and manage the fraud engineering team, prioritizing system design, backend excellence, and scalability.
• Own the machine learning component of the fraud platform, including model training, evaluation, and deployment.
• Design and evolve robust backend systems that measure, detect, and prevent fraud at scale.
• Establish engineering standards and guardrails that enable rapid growth without sacrificing reliability.
• Drive architecture decisions, code reviews, and hands-on development of production systems.
• Identify, prioritize, and resolve technical and organizational bottlenecks as the platform scales.
• Partner cross-functionally with product, operations, and data teams to align fraud strategy with business outcomes.
• Translate technical decisions into clear business impact, particularly around trust, risk, and marketplace economics.
• Hire, onboard, and develop top-tier engineering talent as the team grows.

Benefits

• Highly competitive base salary, commensurate with experience.
• Generous equity package reflecting the criticality of the role.
• Full-time, onsite in San Francisco.
• Ownership of one of the most important systems in the company — fraud prevention is a core differentiator and foundational to trust with frontier AI labs.
• Hybrid builder/leader role with a clear path to scaling scope, team size, and organizational influence.
• Collaborative, mission-driven team operating at exceptional speed with outsized learning opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed