Forward Deployed Engineer

Work closely with Render's top accounts as their dedicated technical partner, providing concierge service across architecture reviews, migration planning, and hands-on delivery.

Run scoped onboarding intensives for high-growth startups, from intake and success criteria through hands-on-keyboard execution.

Lead the database side of customer engagements, including Postgres architecture, performance tuning, and complex data migrations from Heroku, AWS, and other cloud providers.

Drive activation and expansion in strategic accounts: turn major credit grants into durable production adoption, surface expansion signals from your technical work, and partner with the account team to convert them into revenue.

Own the ongoing technical relationship for your accounts: proactive architecture and health reviews, collaborative roadmap sessions, incident follow-up and RCA, and escalation point for hard technical problems, working closely with the account team.

Build the FDE playbook: qualification criteria, engagement templates, success metrics, and reference architectures that make the program repeatable.

Act as a high-signal feedback channel to product and engineering, translating customer friction into prioritized product input.

Partner with Account Managers and Customer Engineers to ensure smooth handoffs after each engagement and durable long-term coverage.

8+ years in a hands-on, customer-facing engineering role: forward deployed, solutions, customer, or professional services engineering.

Strong software engineering fundamentals; you can write production-quality code and work hands-on-keyboard inside a customer's codebase.

Deep experience with cloud infrastructure: containers, CI/CD, networking, autoscaling, and running real workloads in production.

Deep Postgres and database expertise: schema design, performance tuning, replication, and production data migrations. Our largest engagements consistently turn on this skill set.

AI fluency: you work with AI tools daily to accelerate your own delivery, and you understand LLM application architectures well enough to guide the teams building them.

Excellent communication with everyone from startup founders to enterprise platform teams, including executive-level conversations.

Self-directed and comfortable with ambiguity; you can stand up a new function without an existing playbook.

Commercial instincts: you understand how technical wins connect to expansion, renewal, and revenue.

Migration experience from Heroku, AWS, or other clouds onto modern platforms.

Hands-on experience shipping AI and LLM applications (RAG pipelines, agent frameworks, inference workloads); many of our fastest-growing accounts are AI-native.

Prior experience as the first hire in a role or a founding member of a new program.

If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.