Jobs at Dynamo AI

Owns product strategy and roadmap for AI evaluation, guardrails, agent governance, and observability solutions serving government and national security customers. Conducts customer discovery, translates mission needs into requirements, leads prototyping and pilots, analyzes AI system behavior, partners with engineering and research teams, and creates customer-facing materials. The role is highly customer-facing, requires regular onsite engagement and travel, and supports high-consequence public sector deployments.

Own the AgentWarden roadmap for securing enterprise AI agents across risk assessment, runtime controls, alerting, and incident investigation. Lead customer discovery, pilots, and requirements development with security and AI platform teams. Define success metrics, identify buyers and approvers, track agent frameworks and emerging threats, and collaborate with engineering, research, and other product managers. The role requires hands-on agent-building familiarity, knowledge of LLM threats, technical communication skills, and substantial customer-site travel.

Leads customer-facing strategy and execution for deploying AI assurance, evaluation, guardrail, observability, and agent governance solutions with public sector customers. Translates mission, policy, and technical requirements into use cases, pilots, implementation plans, demonstrations, and deployment strategies. Partners with government stakeholders, integrators, product, engineering, and growth teams while supporting proposals, pilots, and customer adoption. Requires strong AI, enterprise software, public sector, stakeholder, and communication expertise, plus U.S. citizenship and clearance eligibility.

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.

Lead architecture and production deployment of AI platforms across cloud and on-premises environments. Partner with enterprise architects, shape product strategy, resolve critical production issues, and implement scalable platform capabilities. Drive cross-functional alignment across Product, Engineering, DevOps, Security, ML, Customer Success, and Forward Deployed Engineering. Mentor senior engineers and improve deployment efficiency, reliability, security, observability, and scalability.

Drive enterprise AI deployments from experimentation to production by identifying use cases, shaping implementation strategies, redesigning operational workflows, and coordinating customers, sales, product, and engineering teams. Translate technical AI capabilities into business outcomes while addressing governance, reliability, security, observability, and performance requirements. Support strategic engagements, workshops, expansion opportunities, and scalable deployment playbooks.

Supports financial services customers in deploying AI risk evaluations and guardrails. Translates laws, regulations, and industry guidance into practical controls; designs, documents, tests, and validates guardrails; partners with product and technology teams on user experience; tracks roadmap objectives and performance; and organizes industry roundtables and customer workshops.

Partner with UK and European financial-services clients to design, deploy, and operationalize AI risk controls, evaluations, and guardrails. Translate regulatory and risk expectations into testable controls, operating models, evidence standards, and triage workflows. Lead client workshops, support audit readiness, monitor production guardrail performance, and collaborate with product, engineering, and deployment teams to improve AI governance capabilities.

Lead strategic enterprise deployments of Dynamo AI, partnering with customers, sales, product, and engineering teams. Identify AI use cases, translate business requirements into implementation strategies, and design workflows for governance, evaluation, observability, security, and guardrails. Build executive and technical relationships, unblock cross-functional execution, support presales and expansion opportunities, and drive measurable production adoption of AI systems.

Lead enterprise customers through AI deployment and operationalization by identifying use cases, shaping implementation strategies, and coordinating product, engineering, sales, and customer teams. Translate technical AI capabilities into measurable business outcomes while addressing governance, reliability, security, observability, and performance requirements. Support pre-sales engagements, expansion opportunities, deployment playbooks, and cross-functional execution across complex enterprise environments.

Lead technical support for B2B customer deployments, diagnosing issues across ML models, applications, APIs, infrastructure, networking, and deployment environments. Investigate incidents, review logs and configurations, coordinate escalations with FDE, SRE, and Engineering teams, monitor deployment health, document root causes, communicate with customer stakeholders, and develop tools and dashboards to meet support SLOs.

Deploy and operationalize Dynamo's AI assurance platform for public sector customers. Responsibilities include writing code, building integrations, creating prototypes and demos, supporting cloud, hybrid, on-premises, and air-gapped deployments, troubleshooting complex implementations, and translating customer mission needs into solution architectures. The role requires close collaboration with customer engineering, security, product, and government stakeholders, with regular on-site engagement and up to 50% travel.