Top Tech Jobs & Startup Jobs

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 rapid, high-priority technical support to premium and enterprise Replit customers. Diagnoses and resolves complex platform issues, manages incident communications, escalates problems to Product and Engineering, and identifies recurring issues for improved resolution times. The role also contributes to automation, tooling, documentation, onboarding, and mentoring while maintaining clear communication under pressure. This full-time NYC role follows a Saturday-to-Wednesday schedule with in-office work on Mondays and Wednesdays.

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.

Provides high-priority technical support to premium and enterprise customers, diagnosing complex Replit platform issues, managing incidents, meeting strict SLAs, and coordinating with Product and Engineering. The role includes customer communications during outages, issue escalation, process improvement, automation, documentation, and mentoring support engineers. It begins remotely in Singapore with a potential transition to hybrid work.

Provides premium technical support to enterprise customers, diagnosing complex issues, managing SLA-bound incidents, communicating during outages, and escalating bugs to Engineering and Product. The role also analyzes recurring issues, improves documentation and automation, mentors support engineers, and collaborates cross-functionally to improve customer experience.

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.