Engineering Manager, Anti-Abuse & Security

Engineering Manager ยท Manager ยท Full Time

Foster City, CAUSD 210k โ€“ 275k3mo ago
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Role

What you'll do.

Replit is seeking an experienced Engineering Manager to build and lead their Anti-Abuse team from the ground up. This critical role involves developing comprehensive anti-abuse strategies, designing progressive verification systems, and protecting the platform from emerging AI-driven abuse vectors while maintaining a seamless user experience.

Responsibilities

  • Anti-Abuse Strategy: Define comprehensive threat model and prioritize abuse vectors including phishing, scam hosting, cryptomining, token farming, and payment fraud
  • Verification Infrastructure: Design and implement a progressive 'ladder of trust' system with escalating verification levels and policy engines
  • Metrics and Measurement: Establish key anti-abuse metrics such as abuse rate, fraud loss, false positive rate, time-to-detect, and time-to-mitigate
  • Team Development: Hire and grow a high-performance team of software engineers and data analysts specializing in anti-abuse technologies
  • Cross-Functional Collaboration: Partner with Support, Legal, Security, Infrastructure, and Growth teams to develop comprehensive anti-abuse strategies

Qualifications

What we look for.

Technical

  • Detection Systems

    Experience building detection and enforcement systems including rules engines, ML-based risk scoring, and reputation systems

  • Identity Verification

    Knowledge of KYC, progressive verification systems, and identity signal integration

  • AI Technologies

    Proficiency with AI coding tools and understanding of AI-native abuse vectors

Education

  • Technical Degree

    Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

  • Management Experience

    6-10+ years of engineering experience with 2+ years of team management

  • Anti-Abuse Domain

    Prior experience in trust and safety, fraud prevention, or adversarial engineering domains

Skills

Required

  • Cross-Functional Communication

    Ability to translate technical concepts across different organizational teams

  • Hands-On Coding

    Continued technical skills including code writing, PR reviews, and prototyping

  • Metrics Design

    Capability to define success metrics for complex, ambiguous problems

Preferred

  • AI Abuse Expertise

    Nice to have

    Experience with emerging AI-driven abuse mechanisms like prompt injection and token farming

  • Payment Fraud Knowledge

    Nice to have

    Familiarity with payment fraud, card testing, and promotional abuse prevention

Tech stack

Languages

PythonJavaScript

Frameworks

Machine Learning Frameworks

Databases

Scalable Databases

Tools

AI Coding Tools

Other

Identity Verification APIs

Compensation

Pay and benefits.

BaseยทUSD 210,000 โ€“ 275,000

Benefits

  • Competitive Compensation

    Competitive salary with equity compensation package

  • Retirement Planning

    401(k) program with 4% company match for US employees

  • Healthcare

    Comprehensive health, dental, vision, and life insurance coverage

  • Leave Policies

    Paid parental, medical, and caregiver leave

  • Flexible Work

    Flexible Time Off (FTO) policy with additional holidays

Process

Interview steps.

  1. 01

    Initial Screening

    Review of resume and initial qualifications

  2. 02

    Technical Phone Screen

    Discussion of anti-abuse experience and technical capabilities

  3. 03

    Hiring Manager Interview

    Detailed discussion of strategic approach to anti-abuse challenges

  4. 04

    Technical Assessment

    Practical evaluation of coding and system design skills

  5. 05

    Team Interview

    Meetings with potential team members to assess cultural fit

  6. 06

    Final Leadership Interview

    Comprehensive review with senior leadership

Full posting

Original listing.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

About the Role

We're hiring a hands-on Engineering Manager to build and lead Replit's Anti-Abuse team from the ground up. This is a foundational 0-to-1 role: you'll define the anti-abuse roadmap, hire a small team of engineers and data analysts, and ship the systems that protect Replit's platform, users, and economics from adversarial actors. You'll partner across Support, Legal, Security, Infrastructure, and the Money and Growth teams to make abuse economically unviable while keeping friction low for legitimate users.

Replit sits at the frontier of AI-native abuse. Our platform is a target for phishing and scam hosting, cryptomining, LLM token farming, card and coupon fraud, and increasingly, abuse driven by AI agents themselves. The team you build will define how Replit defends against all of it.

What You'll Do

Build the anti-abuse roadmap from scratch: Define the threat model, prioritize across abuse vectors (phishing/scam hosting, cryptomining, token farming, payment fraud, AI agent exploitation), and translate it into a shipping plan with clear sequencing and tradeoffs.

Design progressive verification and identity infrastructure: Build the "ladder of trust" that gates increasing platform capabilities (referrals, additional credits, access to powerful agent features, Missions) behind escalating verification. This includes a humanity/identity layer that's distinct from user accounts, integrations with KYC-grade verification providers, and the policy engine that decides what level of trust unlocks what behavior. This infrastructure is core not just to promo integrity but to how Replit safely expands agent capabilities over time.

Ship as a hands-on EM: Stay in the code. Use the latest AI coding tools (including Replit Agent) to prototype detections, build internal tooling, and unblock your team. This role is for someone who multiplies their output with AI rather than stepping away from the craft.

Define the metrics that matter: Establish the measurement foundation for anti-abuse at Replit (abuse rate, fraud loss, false positive rate, time-to-detect, time-to-mitigate, verification step-up conversion) and build the data pipelines and dashboards to track them. Figure out what "good" looks like when no one has measured it before.

Hire and grow a small, high-leverage team: Start with a couple of software engineers and data analysts and scale from there. Hire for ownership, adversarial thinking, and AI-native execution. Build a culture where engineers use AI agents as force multipliers and ship fast without cutting corners on quality.

Operate cross-functionally: Partner with Support on abuse escalations and triage workflows, with Legal on compliance and takedown processes, with Security on overlapping threat surfaces, with Infrastructure on detection and enforcement primitives, and with the Money and Growth teams on the fraud-vs-conversion tradeoffs that sit at the heart of this work.

Make abuse economically unviable: Design adaptive friction systems that escalate verification only when risk signals warrant it. The goal isn't elimination; it's making Replit an unprofitable target while keeping the path clear for legitimate users.

What You'll Bring

  • 6 to 10+ years of engineering experience with 2+ years managing teams, ideally in anti-abuse, trust and safety engineering, fraud, or an adjacent adversarial domain.

  • A hands-on orientation: you still write code, review PRs, and prototype. Comfort using AI coding tools (Claude Code, Cursor, Replit Agent, or similar) as part of your daily workflow.

  • Experience building detection and enforcement systems at scale: rules engines, ML-based risk scoring, reputation systems, identity and device signals, or similar.

  • Experience with identity, KYC, or progressive verification systems is a significant plus. You've thought about how to layer trust signals and gate capabilities without wrecking conversion.

  • Strong product and metrics intuition. You've defined success metrics for ambiguous problems and built the data infrastructure to measure them.

  • Experience operating cross-functionally with Support, Legal, Security, and Growth teams. Comfort translating between technical detections and business impact.

  • Crisp written communication and the ability to build clarity in an ambiguous, 0-to-1 environment.

Nice to Have

  • Experience with AI-native abuse vectors (prompt injection, LLM token farming, agent-driven abuse) or a track record of adapting quickly to novel threat categories.

  • Familiarity with payment fraud, card testing, coupon abuse, referral abuse, or promotional abuse.

  • Experience integrating KYC and identity verification providers (Prove, Persona, Socure, Stripe Identity, or similar).

  • Experience at a consumer platform, developer tool, or cloud provider with meaningful abuse surface area.

  • Background in security, trust and safety, or fraud prevention at a hypergrowth company.

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

Full-Time Employee Benefits Include:

๐Ÿ’ฐ Competitive Salary & Equity

๐Ÿ’น 401(k) Program with a 4% match (US Only)

โš•๏ธ Health, Dental, Vision and Life Insurance

๐Ÿฉผ Short Term and Long Term Disability

๐Ÿšผ Paid Parental, Medical, Caregiver Leave

๐Ÿ Flexible Time Off (FTO) + Holidays

๐Ÿš— Commuter Benefits (In-Office Only)

๐Ÿ“ฑ Monthly Wellness Stipend

๐Ÿง‘โ€๐Ÿ’ป Autonomous Work Environment

๐Ÿ–ฅ In Office Set-Up Reimbursement (In-Office Only)

๐Ÿš€ Quarterly Team Gatherings

โ˜• In Office Amenities (In-Office Only)

Want to learn more about what we are up to?

Interviewing + Culture at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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