Customer Engineer, Render

• We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn
• Has 8+ years in a post-sales technical role—Customer Engineer, Technical Account Manager, Solutions Architect (post-sales), or Customer Success Engineer—at a cloud infrastructure, developer tools, or SaaS company
• Has strong hands-on understanding of cloud application architecture: web services, background workers, databases, caching, networking, and container deployments—enough to review a customer's setup and offer substantive guidance
• Has demonstrated experience working with AI-native or AI-adjacent companies, with familiarity in LLM API integration patterns, vector search, and the infrastructure requirements of production AI applications
• Has proven commercial acumen: identifying expansion opportunities, contributing to renewal and upsell motions, and tracking account health metrics including NRR and time-to-value
• Is an exceptional communicator—can explain a complex infrastructure tradeoff to a CTO and send a clear Slack message to a developer debugging a deployment with equal ease
• Can manage a portfolio of technically complex accounts simultaneously, maintaining proactive cadences without letting reactive firefighting dominate their time
• Is collaborative by instinct: works well with Sales, Product, Engineering, and Support, and understands that customer success is a team sport
• 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

Desirable

• Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively
• We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team
• Render is hiring a Customer Engineer to own the technical success and expansion of our most important customers
• Our customer base skews heavily toward AI-native and technology-forward companies—startups and scale-ups building LLM-powered products, agentic applications, real-time data pipelines, and multi-service SaaS platforms
• These customers move fast, have high technical standards, and expect their cloud platform to move with them
• This is not a traditional customer success role
• You'll spend meaningful time in technical conversations—reviewing architecture diagrams, helping customers rightsize for production AI workloads, troubleshooting performance bottlenecks, and proactively surfacing platform capabilities that unlock the next stage of growth
• You'll be accountable for both customer health and commercial outcomes: net revenue retention and expansion ARR are core to how success in this role is measured
• You'll work in close partnership with Account Managers, who own the commercial relationship and renewal motion, allowing you to stay focused on technical depth and architectural success
• This role reports to the Head of Technical Sales and works cross-functionally with Marketing, Product, and Engineering
• Serve as the named technical point of contact for a portfolio of Render's highest-value customers—primarily AI-native startups, technology companies, and scaled SaaS businesses
• Lead structured onboarding for new customers: architecture reviews, environment setup, team enablement, and establishing production readiness standards from day one
• Proactively monitor customer health signals—service stability, resource utilization, deployment frequency, support ticket patterns—and intervene early to prevent performance degradation and churn
• Conduct regular technical check-ins and executive business reviews (EBRs/QBRs) with engineering and infrastructure leaders, translating platform usage data into business-relevant insights
• Develop deep familiarity with each customer's architecture and growth trajectory to identify natural expansion opportunities: additional services, higher compute tiers, Postgres scaling, team seat growth, and new workload types
• Collaborate with Account Executives to surface expansion signals, build joint account plans, and execute upsell and cross-sell motions grounded in genuine technical advice
• Drive adoption of new Render capabilities—especially those relevant to AI/ML workloads such as autoscaling for inference, high-throughput background job pipelines, and preview environments
• Help customers design and optimize infrastructure for AI-native applications: LLM API integrations, vector database connections, async inference queues, streaming endpoints, and multi-service orchestration
• Capture and escalate structured product feedback from customers, creating a feedback loop that shapes the roadmap based on what matters most to Render's top accounts
• Work with Support and Engineering on complex escalations, acting as the customer's technical advocate to drive timely resolution while maintaining trust and transparency