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

Why Candidates Should Join

• 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.

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

Red Flags

• 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.

Role Details

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

Screening Questions

• None listed on the role page.

Interview Process

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.