Top Tech Jobs & Startup Jobs

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.

Lead delivery of high-density GPU data center deployments: plan sites, manage vendor schedules and procurement, coordinate colocation/installation, mitigate risks, and build repeatable processes to get GPUs online quickly for AI workloads.

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 strategic partnerships for DigitalOcean's AI-Native Cloud, focusing on agentic AI products. Identify and qualify partners, negotiate complex commercial deals (OEM, revenue share), coordinate cross-functional evaluation and integration, and transition partnerships to Product and GTM teams to drive platform innovation and partner-driven product features.

Lead strategic partnerships for DigitalOcean's AI-Native Cloud, focusing on agentic AI products. Identify and evaluate AI technology partners, negotiate complex commercial agreements, coordinate internal stakeholders, and transition partnerships to Product and GTM teams to drive platform capabilities and growth.

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.

The Data Center Engineer I is responsible for deploying and maintaining infrastructure, diagnosing issues, managing inventory, and collaborating with peers in a data center environment.

Serve as a strategic HR business partner to front-line and mid-level managers: coach difficult conversations, resolve complex employee relations, drive data-informed people decisions using Workday, enforce data hygiene, execute people cycles (performance, comp, surveys), translate engagement data into action, and leverage AI and digital tools to automate administrative tasks.

Design, build, and maintain security products and infrastructure: real-time detection engines (Flink/Kafka), high-performance APIs (Go/Node.js), streaming analytics, Kubernetes at hyperscale, and petabyte-scale data pipelines. Lead technical designs, collaborate with security teams, and mentor junior engineers.