Replit jobs

Replit seeks an EMEA Growth Lead to establish commercial presence in the UK and Europe, focusing on enterprise partnerships, channel sales, government relationships, and PLG initiatives. The role is externally-facing, GTM-driven business development—not software engineering—with location tied to EMEA markets. Remote-first but Europe-focused.

Japan Growth Lead at Replit (agentic software creation platform). Remote role based in Japan. Establishes and scales Replit's commercial presence in Japan through enterprise/government partnerships, channel/reseller activation, educational partnerships, and community PLG initiatives. Owns end-to-end partnership development, procurement navigation, reseller enablement, gov/education programs, and trade show representation. Requires deep Japan business roots, understanding of Japanese enterprise/public-sector sales cycles, and ability to build trust with technical/non-technical stakeholders. This is GTM/business development, not software engineering.

Replit is hiring a mid-level Infrastructure Vulnerability Management Engineer to join their security and platform teams at the Foster City office (hybrid, Monday/Wednesday/Friday in-office). You'll own cloud security posture management across multi-cloud environments, scan and triage infrastructure vulnerabilities, embed security scanning into CI/CD pipelines, and manage container and workload security across GCP, AWS, and Azure. Required experience includes 5+ years in cloud security or DevSecOps, deep hands-on expertise with CSPM tools like Wiz or Prisma Cloud, strong Terraform/IaC proficiency, and solid Kubernetes knowledge—deep GCP expertise is preferred. You'll also serve as a technical responder during security incidents and track compliance against SOC 2, ISO 27001, and PCI-DSS frameworks. The role emphasizes systems thinking, technical influence without authority, and driving security outcomes autonomously; compensation includes competitive salary, equity, and full benefits with quarterly team gatherings and wellness stipends.

Replit's Fraud team is seeking a senior security engineer to build detection and response systems that defend the platform from abuse, from phishing and cryptomining to LLM-specific attacks like prompt injection and token farming. You'll design AI-powered detection systems, build LLM guardrails for generated code, operate abuse detection at scale across millions of daily actions, and own the full lifecycle from investigation to enforcement. The role requires 8+ years in security engineering, anti-abuse, or fraud detection with strong Python/TypeScript skills, SQL expertise for data analysis at scale (BigQuery), and experience building ML/LLM classifiers for security; familiarity with prompt injection, phishing, account takeover, and resource abuse patterns is essential. This is distinctly AI-native security work—one of few places applying LLMs defensively against real attackers in production—making it ideal if you want hands-on experience with emerging abuse vectors rather than traditional vulnerability management. The role is based in Foster City, CA with a Monday/Wednesday/Friday office requirement, offering competitive salary, equity, and standard benefits including 4% 401(k) match and flexible time off. This isn't a fit if you prefer deep research over operational systems, isolation over cross-functional collaboration with Legal and Support, or well-defined problems over constantly adapting to adversarial behavior.

Replit's Risk team is seeking a Security Engineer to build AI-native abuse detection and response systems for a platform where millions of users create applications. You'll design LLM-powered guardrails to detect malicious code patterns, build classifiers to identify phishing and cryptomining attacks, implement automated enforcement mechanisms, and investigate abuse trends across BigQuery data—owning the full lifecycle from detection through appeals. Required qualifications include 8+ years in security engineering, anti-abuse, or fraud detection; strong Python/TypeScript programming; SQL and large-scale data analysis; experience building ML/LLM classifiers for security; and familiarity with prompt injection and other LLM-specific threats. This is a full-time role based in Foster City, CA with a 3-day in-office requirement (MWF), offering competitive salary, equity, and standard benefits. The role is notably adversarial and fast-moving—you'll be building defenses against attackers who constantly evolve their tactics—and requires comfort making enforcement decisions affecting real users; it's not a fit if you prefer pure research, vulnerability management, or predictable problems.

Replit's Trust & Safety team is hiring a senior security engineer to build AI-native abuse detection and prevention systems for their platform. You'll design LLM guardrails, detect phishing and cryptomining, prevent token farming and prompt injection attacks, and own the full lifecycle from detection through enforcement across millions of daily user actions. The role requires 8+ years in security engineering, anti-abuse, or fraud detection; strong Python/TypeScript skills; SQL and large-scale data analysis experience; and hands-on ML/LLM classifier building for security use cases. This is adversarial work where attackers constantly adapt—you'll need to investigate patterns, build automated responses, and work closely with Support, Legal, and Engineering teams to ship at scale. The position is based in Foster City, CA with a Monday/Wednesday/Friday in-office requirement, offers competitive salary with equity, and is genuinely unique for applying AI defensively against abuse in production. Deal-breaker: this role is explicitly not a fit if you prefer deep research over operational systems, want predictable problems, or are uncomfortable making enforcement decisions affecting real users.

Replit is hiring a Fraud & Abuse Detection Engineer for its Fraud team, which defends the platform against phishing, cryptomining, token farming, and other exploitation. You'll design LLM-powered detection systems, build automated abuse response mechanisms, and investigate attack patterns across millions of daily user actions, owning the full lifecycle from detection to enforcement. The role requires 4+ years in security engineering, anti-abuse, or fraud detection; strong Python/TypeScript skills; experience with SQL/BigQuery and ML-based classifiers; and familiarity with LLM-specific attacks like prompt injection. This is uniquely positioned at an AI-native platform where you'll tackle problems that barely exist elsewhere—building guardrails for AI-generated code and using LLMs defensively—with hands-on production experience against real adversaries. The position is based in Foster City, CA with a Monday/Wednesday/Friday in-office requirement and includes competitive salary, equity, and full benefits. This role is not a fit if you prefer isolated research work, vulnerability management, or predictable problems rather than constantly adapting to adversarial threats.

Replit's Risk team is hiring a Security Engineer to build detection and enforcement systems protecting the platform from abuse, fraud, and LLM-specific attacks like prompt injection and token farming. The role focuses on designing AI-powered detection systems, building LLM guardrails for AI-generated code, implementing automated responses to phishing and cryptomining, and maintaining platforms like Slurper and Netwatch that monitor millions of daily user actions. You'll need 4+ years in security, anti-abuse, trust & safety, or fraud detection; strong Python or TypeScript skills; SQL and large-scale data analysis experience; and hands-on familiarity with ML/LLM-based classifiers and common attack vectors like prompt injection and account takeover. This is a hybrid role at Replit's Foster City office (Monday, Wednesday, Friday on-site) with competitive salary, equity, and standard benefits. What makes this unusual: Replit's AI-native platform creates security problems that barely exist elsewhere—you'll work on threats like detecting malicious patterns in AI-generated code and using LLMs defensively at scale, making this one of the few places to apply AI to security in production with real adversaries.

Replit is seeking a Trust & Safety Engineer to join their platform security team, which combats exploitation across their AI-native code execution platform. You'll design LLM-powered abuse detection systems to identify phishing, cryptomining, token farming, and account takeover at scale, build automated response mechanisms, and own the full investigation-to-enforcement lifecycle while analyzing attack patterns using BigQuery and internal tools like Slurper and Netwatch. Required qualifications include 4+ years in security engineering, anti-abuse, or fraud detection; strong Python/TypeScript programming; SQL and ML/LLM classifier experience; and familiarity with prompt injection and common attack patterns like credential stuffing and resource abuse. This role is unique in its focus on AI-native security problems—building guardrails for AI-generated code and detecting LLM-specific attacks—which are largely unsolved elsewhere. The position is based in Foster City, CA with a hybrid requirement (Monday, Wednesday, Friday in-office) and includes competitive salary, equity, and benefits including 4% 401(k) match and flexible time off. This role is not a fit if you prefer deep research over operational systems, want vulnerability management or pentesting work, or are uncomfortable making real-world enforcement decisions affecting users.

Replit is hiring a hands-on Engineering Manager to build and lead their Anti-Abuse team from the ground up in a 0-to-1 role. You'll define the anti-abuse roadmap, hire a small team of engineers and data analysts, and ship detection and enforcement systems that protect Replit's platform from phishing, cryptomining, token farming, payment fraud, and AI-driven abuse. Key responsibilities include designing progressive verification infrastructure, establishing anti-abuse metrics and dashboards, staying hands-on with code (especially using AI coding tools), and operating cross-functionally with Support, Legal, Security, and Growth teams to make abuse economically unviable while preserving legitimate user experience. Required experience: 6–10+ years of engineering with 2+ years managing teams, ideally in anti-abuse, trust and safety, or fraud; comfort with AI coding tools as part of daily workflow; and demonstrated experience building detection systems, identity/KYC infrastructure, and working cross-functionally on business tradeoffs. Nice-to-haves include familiarity with AI-native abuse vectors, payment fraud, KYC provider integrations, and experience at high-abuse consumer platforms or hypergrowth companies. This is a full-time role based in Foster City, CA with a Monday/Wednesday/Friday in-office requirement; the role comes with competitive salary, equity, 401(k) match, comprehensive health benefits, and flexible time off.

Senior Social Media Manager at Replit (software creation platform). Marketing role focused on owning social strategy, brand voice, content production, and community engagement across social channels. Responsibilities include defining strategy, building playbooks, leading campaigns, and analytics. Foster City, CA location (remote option noted as yes). Salary $113k–$200k. No software engineering component; purely marketing/content function.

Tier 2 Help Desk Technician at Replit (Foster City, CA, remote). Compensation $113k–$148k. Advanced technical support role managing macOS endpoints, Google Workspace, Slack, identity/access management, and MDM platforms (Kandji). Requires 4+ years IT support/helpdesk experience in macOS-focused environment. Responsibilities include user troubleshooting, device provisioning, compliance, and mentoring Tier 1 staff. This is IT operations/support, not software engineering.

Security Engineer - Vulnerability Management at Replit focuses on application security scanning, vulnerability triage, compliance tracking (SOC2/ISO27001), supply chain security (SBOM), and remediation coordination. Requires 5+ years AppSec/DevSecOps experience with code literacy in JavaScript/TypeScript, Python, Go, and hands-on SAST/SCA tooling expertise. Remote role, Foster City CA; salary $210-270k.

Replit, a platform democratizing software development through AI-assisted application creation, is hiring a Site Reliability Engineer for its SRE team to ensure the reliability and scalability of infrastructure serving millions of developers. You'll design observability solutions and monitoring systems, drive automation using tools like Terraform and Kubernetes, establish SLOs/SLIs with product teams, lead incident response efforts, and optimize performance across global regions. The role requires 4-8 years of SRE or similar experience, strong programming skills (Python, Go, or similar), deep knowledge of distributed systems and Kubernetes, proven monitoring/observability implementation experience, and solid incident management capabilities. Replit offers competitive salary with equity, comprehensive health benefits, flexible time off, and a 4% 401(k) match for US employees, plus quarterly team gatherings and an autonomous work environment. GCP experience and familiarity with modern observability platforms like Prometheus or Datadog are bonuses, though not required.

This is a Staff-level Site Reliability Engineer position at Replit focused on infrastructure, observability, Kubernetes optimization, and incident response at scale. Key responsibilities include designing monitoring/logging solutions, defining SLOs, leading incident management, and driving CI/CD automation with Terraform across GCP/Kubernetes. The role requires 5+ years in cloud infrastructure and Kubernetes. While technically sophisticated, it is infrastructure/SRE-focused rather than product software engineering, and the remote location is restricted to Europe, violating James's US-remote requirement.