Senior IC, Fraud

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top‑tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long‑term success for both clients and candidates.

Title of Role: Tech Lead Manager, Fraud

Location: San Francisco, CA (On‑site)

Company Stage of Funding: Hyper‑Growth, Highly Profitable Private Company

Office Type: On‑site, Full‑Time

Salary: Competitive (based on experience) + Equity

We’re representing one of the fastest-growing private companies in the world, having scaled from $1M to $500M in revenue run rate in under two years while remaining highly profitable. The company builds AI‑powered systems that evaluate candidate performance potential more effectively than human recruiters — technology already trusted by the world’s leading AI labs.

The organization operates with a lean, high‑talent team and is scaling rapidly. This environment creates outsized impact for engineering leaders who want to shape foundational systems, influence company direction, and build critical infrastructure that directly supports frontier AI development.

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.

You will:

• 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.

The ideal candidate is a builder‑leader with a strong backend foundation who thrives in high‑ownership, high‑growth environments and enjoys tackling ambiguous, high‑stakes problems.

• 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.

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.

• Experience on fraud teams at gig economy or labor platforms (e.g., Uber, Door Dash, 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…