Top Tech Jobs & Startup Jobs

The Cloud Support Engineer - Database at DigitalOcean provides technical support for cloud databases, troubleshooting issues, optimizing performance, and guiding customer best practices. Responsibilities include incident response, technical documentation, and cross-functional collaboration to enhance customer experiences.

Build and own GTM enablement: run AE onboarding and certification, create pitch decks and talk tracks, coach AEs live and on recorded calls, manage enablement content and cadence, and partner with Rev Ops, Product, PMM, Sales, and Marketing to align training with product and GTM priorities.

Lead AppSec tooling operations (SAST, SCA, Semgrep), develop custom rules and internal secure-by-default tooling, partner with engineering to remediate findings, build secure libraries and pipelines, and write maintainable code primarily in Go and Python to reduce security risk across the stack.

Lead the roadmap and execution for DigitalOcean Managed PostgreSQL: define provisioning, reliability, performance, pricing, and go-to-market. Conduct market analysis, gather customer feedback, collaborate with engineering, capacity planning, and GTM teams, and use metrics to drive product decisions for OLTP and AI workloads.

Own and drive the roadmap and execution for DigitalOcean Managed Databases (MySQL). Lead market analysis, prioritize customer needs, partner with engineering, infrastructure, GTM, and customer success to deliver scalable provisioning, reliability, performance, and pricing. Use data to measure success and guide product decisions for OLTP and AI/ML use cases.

Design, build, and operate the Action Runtime execution layer for AI agents. Own full-stack product features from design through production, including MCP tooling, authentication, secrets, rate limiting, observability, and safe execution. Collaborate with product, design, and cross-functional teams, mentor peers, participate in on-call, lead incident responses, and define quality standards, evaluations, and telemetry for reliable agent tooling.

Lead engineering for DigitalOcean's LLM inference product suite, owning Serverless/Dedicated/Router/Batch/Multimodal offerings. Drive model optimization, architecture, and hardware-aware inference (quantization, KV-cache, speculative decoding, disaggregated serving). Recruit and mentor teams, collaborate cross-functionally, ensure production health and SLAs, and institutionalize benchmarking, observability, and auto-tuning to deliver cost-efficient, high-performance inference at scale.

Lead and grow an engineering organization building and scaling DigitalOcean's LLM inference product suite. Own product roadmap execution, inference-serving architecture, model optimizations (quantization, KV-cache, speculative decoding), and GPU-aware performance. Recruit and mentor engineers, partner cross-functionally, ensure production reliability and SLAs, institutionalize benchmarking, observability and auto-tuning, and drive contributions to open-source inference engines.