Jobs at DigitalOcean

Lead planning and cross-functional coordination for marketing programs, build operating cadences and decision-ready materials, track budgets and resourcing, and co-own execution with functional leads. Align roadmaps across product, sales, engineering, finance and partners, drive co-marketing and campaign execution, synthesize stakeholder inputs into dashboards and KPIs, and identify/implement AI-powered tools to scale marketing operations and improve program delivery.

Define and drive the multi-year roadmap for audit logging, SIEM integration, and unified security visibility. Architect high-throughput, fault-tolerant Go/gRPC pipelines (Kafka/Flink), build customer-facing security dashboards and integrations, ensure compliance-grade immutable logs, set org-wide logging and observability standards, partner across platform teams, and mentor senior engineers while authoring RFCs.

Architect and develop high-availability IAM services in Go, including authentication, authorization, SSO, policy engines, multi-tenant identity models, and secure AI workflows. Own service reliability, Kubernetes deployments, event-driven migrations, and vulnerability remediation. Lead major technical workstreams, conduct code reviews, and mentor engineers while collaborating across teams.

Own DigitalOcean’s enterprise AI-native architecture, including agent orchestration, shared AI platform services, tool and capability layers, enterprise-system integrations, identity, authorization, governance, observability, evaluation, and cost controls. Build production prototypes and reference implementations, write code, establish technical standards, mentor distributed engineers, and re-engineer business workflows with functional teams. Partner across platform engineering, security, identity, data, and business technology to deliver governed, scalable agentic systems.

Lead architecture and low-level optimizations for LLM inference to maximize throughput and minimize latency. Profile and optimize GPU kernels, implement quantization and parallelization strategies (FP8/INT8/FP4), tune libraries (AITER, Triton, CUDA, ROCm), and mentor engineers while translating hardware limits into shippable platform features.

Lead design and implementation of high-scale, multi-tenant AI inference data plane services. Optimize distributed LLM serving (prefill/decode disaggregation, KV-cache routing, autoscaling, flow control), contribute upstream to open-source inference projects, mentor engineers, and operate resilient, observable production services running on Kubernetes and specialized AI hardware.

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.

Lead product strategy and delivery for customer-facing security and identity capabilities. Define roadmaps, translate identity and access problems into intuitive console and API experiences, partner with engineering on architecture, engage customers for discovery, drive full product lifecycle from discovery to launch, define success metrics, and collaborate cross-functionally to increase adoption and reduce security risk.

Build and run the Go‑To‑Market enablement function: design AE onboarding and certification, create pitch decks and talk tracks for AI use cases, coach AEs via live call reviews and workshops, manage enablement content, and partner with Revenue Ops, Product, PMM, Sales Leadership, and Marketing.

Lead threat modeling and risk management for DigitalOcean's virtualization stack. Build frameworks and rubrics to assess hypervisor risk, propose and implement defense-in-depth mitigations, collaborate with engineering teams on remediation, mentor teams on secure design, and help oversee vulnerability management and security guidance.

Lead technical design and enforcement of network security for global edge, backbone, and datacenter environments. Perform threat modeling, protocol analysis, DDoS mitigation, security automation, tooling, and incident response. Partner with network teams to integrate controls, telemetry, and IaC-based validation, and mentor engineers while driving security reviews and best practices adoption.

Design and build real-time security detection engines and streaming analytics using Apache Flink and Kafka. Develop high-performance security APIs and microservices in Go and Node.js, architect Kubernetes-based security solutions, and build petabyte-scale data pipelines. Lead technical design, collaborate with security teams, and mentor junior engineers.

The Senior Technical Product Manager II will oversee the execution of Security Products workstreams, focusing on customer needs, engineering collaboration, and communication of product value and updates.

Provide full-stack product legal counsel across the product lifecycle for cloud and AI offerings. Advise Product, Engineering, Marketing, and Operations on privacy, IP, open-source, data security, export control, and AI regulation. Draft and negotiate commercial and data protection agreements, support incident response and regulatory matters, and build scalable legal playbooks and automation to enable product launches and compliance.

Lead design and implementation of secure global network infrastructure. Architect security standards, conduct threat modeling and network assessments, build security automation and tooling, integrate controls with SDN/BGP/MPLS platforms, support incident response, and mentor engineering teams to maintain resilient, observable network security posture.

Lead assessment and mitigation of security risks in the virtualization stack. Build threat models, rubrics, and defenses; partner with kernel, virtualization, and provisioning teams to design and implement mitigations; mentor engineers, manage vulnerability backlog, and promote security best practices across product teams.