About the company
Render is building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. The platform is trusted by over 7 million developers worldwide. In February 2026, Render raised an additional $100M in Series C financing, bringing total funding to $260M.
Responsibilities
- 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.
- Own the ongoing technical relationship for your accounts: proactive architecture and health reviews, collaborative roadmap sessions, incident follow-up and RCA.
- Build the FDE playbook: qualification criteria, engagement templates, success metrics, and reference architectures.
- Act as a high-signal feedback channel to product and engineering.
- Partner with Account Managers and Customer Engineers to ensure smooth handoffs.
Requirements
- 8+ years in a hands-on, customer-facing engineering role: forward deployed, solutions, customer, or professional services engineering.
- Strong software engineering fundamentals; can write production-quality code.
- 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.
- AI fluency: work with AI tools daily and understand LLM application architectures.
- Excellent communication with everyone from startup founders to enterprise platform teams.
- Self-directed and comfortable with ambiguity.
- Commercial instincts.
Nice to have
- 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).
- Prior experience as the first hire in a role or a founding member of a new program.