Top Tech Jobs & Startup Jobs

Build and own production data pipelines, warehouse models, metric definitions, testing, monitoring, reconciliation, and alerting. Partner with Finance and other teams to create reliable datasets for usage, revenue, costs, margins, reporting, self-service analysis, and AI-assisted querying. Improve source data quality, investigate discrepancies, and establish a maintainable data foundation.

Own and redesign E2B’s billing platform, including usage metering, charge calculation, Stripe integrations, invoicing, payments, collections, reconciliation, and billing data models. Build automation for payment recovery, proration, credits, refunds, and disputes. Collaborate with engineering and finance on data contracts, reporting, audit readiness, observability, testing, and security. The role requires deep Go backend expertise, PostgreSQL proficiency, strong API design, and experience with complex usage-based billing systems.

Create accurate, developer-focused technical content for AI infrastructure products, including comparison, migration, integration, documentation-adjacent explainers, and customer case studies. Interview engineers, read code and documentation, edit freelance work, manage technical reviews, and publish content on a consistent cadence. Use experiments, metrics, and feedback to improve content performance and execution quality.

Own E2B’s technical content strategy and production across articles, social posts, emails, customer stories, comparison pages, launches, and sales materials. Translate complex infrastructure topics into credible developer-focused content, collaborate with engineers and business teams, and manage the full editorial lifecycle. Run AEO and content experiments, measure citations, pipeline, conversion, and revenue influence, develop technical case studies, and regularly improve or retire underperforming content.

Own E2B’s developer community across Discord, GitHub, forums, and meetups while producing technical workshops, hackathons, dinners, and ecosystem events. Build event-to-sales processes, identify high-intent accounts, measure pipeline and conversion impact, manage partners and budgets, and provide community feedback to product and go-to-market teams. The role requires close collaboration with Sales, Growth Engineering, Content, and Product, with a focus on experimentation and measurable commercial outcomes.

Design and build a high-performance distributed cloud platform to run millions/billions of AI agent sandboxes: orchestrate placement, enable live migrations, optimize VM startup under 200ms, improve self-hosting, and implement kernel-level observability and large-scale performance and networking solutions.

The role involves overseeing all non-engineering operations, including finance, legal, HR, vendor management, and logistics as E2B scales.

Own and scale the product/backend powering the Dashboard and SDK: build Go services, design APIs, auth, billing, and usage metering, implement real-time backends (WebSockets/SSE), optimize data access and performance, and partner with frontend and platform teams to ship features end-to-end.

Build and own the product/backend services powering the E2B Dashboard and SDK. Implement and scale Go-based APIs, data models, auth, billing, usage metering, and real-time pipelines (WebSockets/SSE). Optimize database access, partner with frontend and platform teams, and drive end-to-end features from design through production.

The Platform Engineer will design and build E2B's cloud infrastructure for AI software, optimize performance, and work with distributed systems and orchestration technologies.