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)

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 Tools Website: https://www.dynamo.ai/

• Ground-floor deployment role: 3rd FDE globally, joining colleagues in Japan and the West Coast US — owning the East Coast US / Europe territory.
• 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.
• Technical bridge with real ownership: The link between customers and Dynamo's product/engineering teams, driving ambiguous deployments to closure independently.
• Fully remote, competitive comp: $150K–$200K base + equity.

• 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.

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.

• →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)

• 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

• 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 adjacency to Dynamo's product surface.
• High ownership mentality with track record of driving ambiguous customer problems to closure independently

• Traditional DevOps background at banks or other traditional-sector enterprises. Hiring manager direct exclude.
• Pure backend engineer without customer-facing exposure. The role is 50%+ customer-facing.
• Cannot work East Coast US or UK time zones, or unavailable for twice-weekly evening calls with India
• No Kubernetes production experience. Hard requirement.
• Wants 9-to-5 or low-commitment culture. The role requires ambiguity tolerance and high ownership.

Salary $150,000–$200,000 Equity Competitive On-site policy Fully remote (UK / NYC / MA / FL); East Coast US or UK hours; twice-weekly evening calls with India team Visa sponsorship None available Employment type Full-time Location Remote — UK / New York City, NY / Massachusetts / Florida

• None listed on the role page.

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Initial Screen with Oliver (30 min) — Non-technical introduction. Stage 3 — Round 1 Technical with Yash — Basic knowledge questions on Kubernetes, networking, and DevOps. Stage 4 — Round 2 Mock Customer Deployment with Edwin — Hands-on access to a Kubernetes cluster; complete a deployment task with the interviewer. Given access to a new service and asked to extend, debug, or adapt to it quickly. Candidates may search or use AI tools during the interview. Stage 5 — Round 3 Domain Expertise + Behavioral with Oliver — Walkthrough of previous projects with technical detail questions, plus non-technical questions on collaboration and leadership. Stage 6 — Founder Round Stage 7 — Offer Extended Stage 8 — Candidate Hired — Candidate accepts and starts.