Scaled Programs Customer Engineer at Render

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.

Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.

Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.

We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.

About the Role

We are hiring the first members of Render's Scaled Programs Customer Engineering team to help run the technical side of our scaled, digital-first customer motion. You'll support high-growth accounts without dedicated technical coverage, including our startup program cohort, through programmatic, one-to-many engagement rather than a traditional one-to-one model. The role has two halves: running scaled programs (in-app engagement, targeted outreach against expansion and churn signals, webinars) and contributing to the tools and content that power the broader Field Engineering organization (health triggers, growth and expansion opportunities based on product usage, pricing and sizing tools, POC templates, and enablement content). You'll partner closely with our Scaled Account Managers and report into Render's Field Engineering organization.

What You'll Do

• Partner with Scaled AMs and Field Engineering teammates to turn expansion and churn signals (bandwidth, egress, usage patterns) into plays: AM talking points, programmatic outreach, and in-app prompts.

• Operate startup program onboarding: Intercom checklists, guided flows, and activation follow-up for high-growth AI startups.

• Partner with Support Engineering to identify recurring mistakes and best practices, then turn those insights into programs and content that reduce customer friction.

• Build and improve components of our scaled-engagement toolkit: in-app programs, outbound triggers, pricing and sizing calculators (e.g., Heroku and AWS RDS migrations to Postgres), POC templates, and reusable technical enablement.

• Run scaled customer programs: webinars, Slack community touchpoints, and pattern-based outreach across account cohorts, partnered with Scaled AMs.

• Translate recurring customer questions and technical best practices into timely in-product guidance and self-service content.

• Maintain activity tracking and feature-request data hygiene so reliable customer signals flow to the rest of Field Engineering and Product.

What We're Looking For

• 3+ years in a customer-facing technical role: customer engineering, solutions engineering, technical support, or developer relations.

• Comfort operating a high-volume, one-to-many motion; you can independently execute clearly scoped programs and build systems and content rather than relying on 1:1 time.

• Strong fundamentals across cloud infrastructure: containers, deploys, autoscaling, networking, and CI/CD.

• Working knowledge of Postgres and common database migration patterns (Heroku, AWS RDS).

• AI fluency: you use AI tools daily in your own workflow, and you're comfortable advising customers building AI-native and LLM-powered applications.

• Strong written communication; you'll be a primary producer of docs, playbooks, and in-app content.

• Data-driven, able to prioritize work against team goals, and comfortable asking for context or support when ambiguity could affect the outcome.

Nice-to-Haves

• Experience with Intercom or a similar in-app engagement and messaging platform.

• Experience building internal or customer-facing tools that scale a team's impact beyond 1:1 work.

• Experience in a PLG or high-volume account environment.

• Prior experience with Heroku or other cloud migrations.

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.