Teams at Dynamo AI

Design, build, and operate AWS and Kubernetes infrastructure powering production AI systems. Own CI/CD, infrastructure as code, GitOps, observability, secrets management, GPU workloads, model serving, reliability, security, scalability, and cost optimization. Troubleshoot production incidents, perform root-cause analysis, and develop automation using Python and Bash while collaborating across Engineering, ML/AI, Security, and Product teams.

Owns the roadmap for AI governance and compliance workflows, enabling legal, risk, compliance, and audit teams to create policies, review guardrails, document approvals, and produce audit-ready evidence. The role translates regulations and internal policies into product requirements, leads customer engagements with senior stakeholders, tracks AI regulatory developments, and collaborates with engineering and research. It requires enterprise workflow product management experience, regulated AI governance knowledge, strong communication skills, and customer-site travel.

Produce analytical evidence for AI product decisions by scoping questions, designing experiments, building prototypes, analyzing guardrail performance, benchmarking metrics, and recommending actions to product managers. Work includes evaluating AI safety controls, measuring accuracy, latency and cost, prototyping workflows, and reporting results. The role develops expertise in AI security, guardrails, agent systems, and experimental design while providing a path toward product management.