Dynamo AI — Forward Deployed Engineer
Dynamo AI — Forward Deployed Engineer
Type: Full-time | Remote | UK / New York City, NY / Massachusetts, US / Florida, US Compensation: $150,000–$200,000 + Competitive Equity Hiring count: 1 Visa sponsorship: None available Reports to: Not specified on role page (Oliver runs the initial screen and the domain/behavioral round)
About Dynamo AI
Dynamo AI helps enterprises deploy AI systems that are reliable, secure, observable, scalable, and production-ready — providing the infrastructure, evaluation frameworks, and real-time guardrails that let enterprises operationalize Generative AI at scale. It works with regulated industries — banks, government agencies, insurance companies, and other regulated enterprises, from Fortune 500 companies to top global banks. Flagship products are DynamoEval (evaluation frameworks), DynamoGuard (real-time guardrails), and AgentWarden (agentic observability).
Founded: 2021 | Team size: 11–50 (Series A) | Industry: AI ToolsWebsite:
Why Candidates Should Join
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Ground-floor deployment role: 3rd FDE globally, joining colleagues in Japan and the West Coast US — owning the East Coast US / Europe territory.
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High-stakes enterprise work: Deploy AI guardrails and evaluation systems into Fortune 500, top-bank, and government environments where reliability and compliance are non-negotiable.
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Technical bridge with real ownership: The link between customers and Dynamo's product/engineering teams, driving ambiguous deployments to closure independently.
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Fully remote, competitive comp: $150K–$200K base + equity.
Intake Call Summary
- Not available on the role page — an Intake Video is posted but no transcript/summary. Flag if you want me to work from the video separately.
The Role
A Forward Deployed Engineer working directly with enterprise customers to deploy, integrate, and operationalize AI systems in real-world production environments — sitting at the intersection of engineering, customer deployment, and AI reliability. Covers 3–4 concurrent customers, many running highly regulated systems with deeply embedded infrastructure and approval workflows.
What You'll Be Doing
- Lead deployments of Dynamo AI products into customer environments: EKS, AKS, GKE, OpenShift, and on-prem Kubernetes clusters
- Work directly with customer engineering, security, infrastructure, and operations teams across networking, identity, storage, observability, scaling, security, and reliability
- Troubleshoot production and pre-production issues across Kubernetes, application services, databases, ingress, authentication, networking, and cloud infrastructure
- Build deployment automation, Helm configurations, scripts, runbooks, and validation workflows
- Drive technical scoping, effort estimation, risk assessment, rollout planning, and production readiness reviews
- Partner with product and engineering teams to surface deployment patterns, integration gaps, and customer-driven improvements
Tech stack: Kubernetes (EKS, AKS, GKE, OpenShift, on-prem); Helm, Terraform, ArgoCD; AWS/Azure/GCP; identity systems (OIDC, SAML, Keycloak, Entra ID, Okta); Dynamo products (DynamoEval, DynamoGuard, AgentWarden)
Requirements
- 3-8 years engineering, infra, or solutions
- Kubernetes production + AWS/Azure/GCP
- Startup or consulting DevOps background (NOT bank DevOps)
- Customer-facing deployment experience
- Helm, Terraform, ArgoCD, or comparable
- Remote UK / NYC / MA / FL, East Coast or UK hours
Green Flags
- Prior FDE, Solutions Engineering, or Implementation Engineering at a high-growth AI infrastructure or AI tooling startup. Direct domain match.
- Kubernetes production depth across EKS, AKS, GKE, or OpenShift. The role is hands-on cluster work.
- Worked on regulated enterprise deployments (banks, healthcare, government) with deep understanding of security, compliance, and approval workflows
- Familiarity with AI evaluation, guardrails, observability, or AI safety/governance products. Direct adj