Top Tech Jobs & Startup Jobs

Own technical revenue accounting for complex customer, partnership, and marketplace arrangements, including ASC 606 assessments, variable consideration, contract modifications, and revenue recognition. Partner cross-functionally with Sales, Legal, Product, Engineering, Billing, and Finance to operationalize new monetization models, improve controls, support close and reporting, and lead scalable process, system, automation, and AI-enabled enhancements.

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 technical revenue accounting for complex customer, partnership, and marketplace arrangements. Evaluate ASC 606 requirements, variable consideration, contract modifications, and evolving pricing structures. Partner cross-functionally with Sales, Legal, Product, Billing, Engineering, and Finance to operationalize new monetization models. Manage recurring accounting, close activities, controls, reconciliations, disclosures, audit support, and scalable process, system, automation, and AI-enabled improvements.

Design and build scalable Go-based distributed control plane microservices for cloud compute infrastructure. Develop gRPC interfaces, optimize Linux kernel and virtualization systems, and improve performance, reliability, observability, failover, and recovery. Lead complex cross-functional technical projects, mentor engineers, conduct architectural reviews, support production systems through on-call rotations, and drive continuous improvements across the Compute ecosystem.

Own technical revenue accounting for complex customer, partnership, and marketplace arrangements. Evaluate ASC 606 requirements, guide commercial teams, operationalize new monetization models, oversee recurring calculations and close activities, support controls and audits, and improve revenue processes through systems, automation, and AI. Partner cross-functionally with Sales, Legal, Product, Billing, Engineering, and Finance while ensuring scalable, accurate, and audit-ready revenue operations.

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 secure design reviews, threat modeling, and security risk assessments for products and features. Partner with engineers, product managers, and designers to develop secure architectures, provide remediation guidance, promote security culture through training and mentoring, oversee vulnerability management, and explain security events. Build security tooling, automate secure development practices, and establish architectural patterns and processes that reduce security risk across DigitalOcean’s engineering organization.

Lead and evolve the insider threat program by engineering detection, automating investigation workflows, tuning UEBA/SIEM/DLP/UAM/SOAR detection content, conducting threat hunting and DFIR, collaborating with HR/Legal, and using data analytics (e.g., Pandas) to investigate anomalous activity and reduce internal risk.

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.

Leads DigitalOcean’s Applied Research function for agentic AI, setting the research agenda across model routing, memory, observability, and reinforcement learning. Builds and manages a research team, connects research investments to product outcomes, and partners with engineering to ship production capabilities that improve reliability, cost, latency, and task success. Represents the company externally through publications, talks, open-source work, and research collaborations.