Jobs at DigitalOcean

Own technical revenue accounting for complex customer, partnership, and marketplace arrangements under ASC 606. Partner with commercial, legal, product, billing, engineering, and finance teams to assess contracts, operationalize monetization models, manage recurring accounting, support close and controls, and improve revenue operations through systems, automation, and AI-enabled processes.

Own and grow enterprise relationships with AI startups in the Bay Area ecosystem. Identify and win high-potential accounts, serve as the primary business and technical contact, manage renewals and upsells, advocate for customers internally, and collaborate with marketing, product, engineering, support, and customer success teams. Translate customer feedback into product insights while expanding DigitalOcean’s cloud infrastructure and AI business.

Lead DigitalOcean’s AI security strategy, governance framework, roadmap, and organizational programs. Build and operationalize AI/ML security controls, tooling, guardrails, and automation; conduct threat modeling, adversarial testing, and AI red teaming. Review AI architectures, guide high-risk product decisions, monitor deployed models, and address risks involving RAG, agents, model supply chains, and prompt injection. Represent AI security to executives and external communities while translating emerging research and threats into engineering guidance and policy.

Own product marketing for DigitalOcean’s AI-Native Cloud, including ICP definition, positioning, sales enablement, web messaging, customer storytelling, executive thought leadership, and cross-functional launches. Translate technical AI and cloud capabilities into compelling customer value, strengthen the corporate narrative, and support pipeline growth through messaging, training, content, and go-to-market programs.

Create and deliver high-quality technical content for executives and developer audiences: conference talks, decks, social technical content, demos, workshops, and Bay Area community programming. Partner with leaders to translate product narratives into credible technical stories and run hands-on campaigns for AI-native customers.

Lead and define technical evangelism at DigitalOcean: set standards and priorities, produce and deliver technical talks and executive content, create deep AI-focused technical assets and campaigns, and mentor other evangelists. Split time between presenting on stage and building hands-on demos, labs, and social technical content to engage AI builders and infrastructure teams.

Counsel DigitalOcean on datacenter and infrastructure transactions, including leasing, colocation, design/build, operations and maintenance, and procurement agreements for compute and power equipment. Negotiate contracts, advise on risk allocation and supplier performance, support international expansion, collaborate with procurement, engineering, finance, tax, and compliance teams, and create scalable contracting tools such as templates, playbooks, and approval matrices.

Advise Talent Acquisition and People Business Partners on compensation offers, maintain global market benchmarks and salary ranges, build financial models, analyze pay equity, and manage annual and mid-year compensation cycles. The role evaluates job profiles against market data, monitors technology compensation trends and regulatory requirements, and supports compliant, competitive total rewards programs across international locations.

The Director of Strategy will lead growth initiatives and business operations at DigitalOcean, translating corporate vision into actionable plans. Responsibilities include executing strategic projects, conducting competitive intelligence, and supporting due diligence for corporate strategies. Key metrics include project execution rates and effectiveness of strategic recommendations.

Manage day-to-day operations, maintenance, safety, vendor relationships, budgets, and workplace experience across DigitalOcean offices. Coordinate building services, preventive maintenance, space planning, office readiness, employee events, emergency preparedness, inspections, and compliance. Partner with People, IT, Security, Finance, landlords, and contractors while supporting office expansions, site selection, hybrid-work planning, and occasional travel to other offices.

Lead global sourcing, selection, and procurement of datacenter space and power. Own end-to-end deal execution (RFPs, MSAs, SLAs, leases), negotiate multimillion-dollar contracts, manage vendor relationships, build TCO/financial models, collaborate with Legal and Operations, and monitor datacenter and energy market trends to inform site strategy.

The Staff Forward Deployed Engineer will work with AI-Native customers to solve cloud infrastructure challenges, build scalable tools, optimize AI workloads, and influence product development by embedding with clients and establishing best practices.

Manage key accounts by providing technical consultation, architectural design, and proactive engagement to drive customer growth on the DigitalOcean platform.

The Manager, Customer Success Engineering at DigitalOcean leads a team supporting strategic customers in cloud and AI/ML workloads, focusing on operational excellence and customer satisfaction.

Lead benchmarking and performance optimization for AI inference at GPU/kernel levels. Solve memory bandwidth and compute bottlenecks, implement quantization and parallelization (multi-node), advise on hardware/software stacks, mentor engineers, and collaborate to ship high-performance inference features.

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 strategic partnerships with AI model developers and cloud technology providers. Identify opportunities, define partnership playbooks, negotiate complex commercial agreements, and coordinate cross-functional transitions to Product and GTM teams to drive platform growth and AI-enabled product innovation.

Lead design and roadmap for next-generation data center architectures. Own MEP, cooling, and power topologies (including 800VDC and liquid systems), run PoCs, guide site selection, scale pilots into global standards, mentor engineers, and represent the company externally.

The role involves guiding customers through Kubernetes migrations, optimizing cloud architectures, and collaborating with various teams to enhance customer success and product development.

Assess product and application architectures, develop threat models, identify security risks, and guide engineering teams on remediation. Promote security culture through training, mentoring, vulnerability management, and internal security initiatives. Build security tooling, automation, patterns, and workflows that embed secure-by-design practices across engineering. Partner with product managers, designers, and engineers to secure complex, large-scale cloud systems.