Jobs at Replit

Lead complex enterprise software transactions, negotiate SaaS and technology agreements, advise on AI, privacy, security, and compliance issues, and manage commercial legal risks. Build scalable contract playbooks and processes while partnering with Sales, Product, Engineering, Security, and Privacy teams. Provide strategic guidance on AI regulations and enterprise software adoption, and serve as a trusted advisor to customer legal teams and company leadership.

Design, build, and operate Replit’s identity and authorization platform, including policy decisions, enterprise access controls, delegation, workload identity, token services, and service-to-service security. Threat-model multi-tenant systems, implement least-privilege and fail-closed behavior, lead safe migrations, and own reliability, observability, SLOs, and incidents. Collaborate with Agent, Enterprise, Security, Connectors, and Infrastructure teams to create secure, scalable platform primitives.

Own strategic product partnerships from opportunity identification through negotiation, integration, launch, and performance measurement. Develop partner pipelines, shape joint product strategies, coordinate with product, engineering, legal, finance, marketing, and sales teams, and define success metrics. The role requires technical fluency across APIs, cloud infrastructure, databases, LLMs, agents, and developer workflows, plus the ability to build demos, negotiate with senior partners, and influence product roadmaps.

Build product features, AI coding agents, cloud infrastructure, and platform capabilities for Replit’s software creation platform. The role involves full-stack development, distributed systems, real-time collaboration, one-click deployments, automation, and scalable development environments. Candidates will collaborate cross-functionally, solve complex technical problems, communicate effectively, and grow into greater responsibility. This is a hybrid full-time role based in Foster City, California, with required office days on Monday, Wednesday, and Friday.

Provides high-priority technical support to premium and enterprise customers, diagnosing and resolving complex Replit platform issues within strict SLAs. The role manages incident communications, escalates issues to Product and Engineering, identifies recurring problems, and develops documentation, automation, and tooling to improve efficiency. It also supports cross-functional collaboration and mentors other support engineers. The position works a Saturday-Wednesday schedule with in-office requirements in Foster City on Mondays and Wednesdays.

Own Replit’s learning platform and onboarding and enablement experiences, initially for the Support organization. Design learning journeys, facilitate live training, convert sessions into on-demand content, measure behavior change and ramp speed, and expand learning programs across the company. The role combines instructional design, platform ownership, hands-on building, cross-functional leadership, facilitation, and data-driven program improvement.

Design and build agentic growth systems, attribution infrastructure, audience pipelines, deep-linking standards, promotions, referrals, campaign tooling, and experimentation measurement across web, mobile, billing, and data. Partner with marketing, sales, and partnerships to turn ambiguous growth needs into scalable technical systems. The role requires backend engineering, event instrumentation, data warehousing, and marketing technology expertise.

Paid internship for quantitative students working with AI Research, Strategic Finance, or the Office of the CEO. Interns will tackle AI-native software creation problems, prototype mathematically rigorous solutions, collaborate cross-functionally, and ship tools or infrastructure impacting millions of developers.

Create and maintain documentation, tutorials, FAQs, courses, videos, walkthroughs, and other learning experiences for Replit users and internal teams. Own content planning, lifecycle management, findability, voice, and performance measurement. Collaborate with technical education, product, and documentation partners to launch accurate content, improve self-service outcomes, increase activation, reduce support tickets, and raise CSAT.

Design and lead Replit’s AI agent security architecture, including runtime guardrails, semantic firewalls, sandboxing, threat modeling, red teaming, identity delegation, data isolation, observability, and auditability. Establish secure design patterns, SDKs, risk-register contributions, and compliance documentation for agentic systems. Partner with engineering, infrastructure, AppSec, GRC, executives, and sales to address AI security risks involving prompt injection, tool misuse, data poisoning, context contamination, and autonomous code execution.

Manage legal requests, contract lifecycle processes, templates, approvals, renewals, outside counsel relationships, budgets, vendors, and legal team workflows. Support corporate transactions, filings, policies, training, privacy requests, data maps, impact assessments, and compliance reporting. The role serves as the central intake point for legal matters, improves systems and processes, maintains records, and coordinates cross-functional implementation of legal technology and safeguards.

Manage a mid-market SaaS customer portfolio, owning renewals, retention, expansion, onboarding, adoption, forecasting, and customer health. Serve as the primary relationship owner, provide strategic guidance and training, communicate technical value to diverse audiences, gather customer feedback, and identify growth opportunities using product usage data. The role requires strong communication, consultative selling, CRM proficiency, and familiarity with AI-powered software development workflows.

Own and scale Replit’s support systems, including Zendesk administration, workflows, routing, automations, permissions, integrations, self-service surfaces, and AI-assisted support tooling. Partner with Engineering on technical requirements, develop scripts and bulk actions to remove bottlenecks, evaluate vendors, and lead platform migrations. Support internal agents, outsourced teams, and regional workflows while adapting systems to rapid product changes.

Leads Replit’s Product Design organization, managing and mentoring designers while contributing hands-on to product and interaction design. The role establishes design practices, prioritizes initiatives, elevates design quality, shapes customer journeys, partners with Product and Engineering, supports complex technical product decisions, and recruits design talent. This player-coach position requires strong product judgment, design taste, technical fluency, communication skills, and experience leading design teams in high-growth technology companies.

Build and deploy production applications and AI-powered workflows with enterprise customers. Architect secure integrations connecting Replit to customer systems, data, APIs, identity providers, and infrastructure. Own complex technical deployments, debug issues, translate customer needs into solutions, and collaborate with product, design, and engineering teams. Convert field insights into templates, playbooks, product requirements, and platform improvements.

Lead the architecture and implementation of monetization systems, create seamless payment experiences, and build APIs for product monetization.

The role involves designing enterprise infrastructure, implementing authorization services and data protection features, and collaborating with various teams to meet customer requirements.

Lead design and implementation of Replit's money infrastructure, focusing on pricing, billing, payments, and monetization while ensuring reliability and user-friendly experiences.

As a Product Engineer on the Enterprise team, you will design and build scalable software solutions for enterprise customers, mentor engineers, and collaborate with cross-functional teams to enhance productivity and customer experience.

As a Growth Engineer, you will drive experimentation, build growth features, leverage data for insights, and collaborate across teams to enhance user metrics.