Customer Engineer

Requisitos e responsabilidades

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What You'll Do

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

What We're Looking For

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

Nice-to-Haves

Direct experience as a software engineer or DevOps engineer, especially having run production workloads on a PaaS like Render, Heroku, or Railway
Experience supporting customers through a Heroku-to-Render (or similar PaaS) migration, including large database cutovers and multi-service re-architecture
Familiarity with the modern AI application stack: LangChain, LlamaIndex, OpenAI or Anthropic APIs, Pinecone, Weaviate, Celery, or equivalent tools
Background working with high-growth, VC-backed startups as customers—understanding their pace, funding cycles, and how infrastructure decisions intersect with business milestones
Experience building customer-facing technical content: architecture guides, best practice playbooks, or internal runbooks that scale impact beyond 1:1 conversations
Exposure to usage-based or consumption-based pricing models and how to help customers optimize cost as they scale

Benefits

This opportunity is also eligible for equity with early-exercise options and extended exercise windows.
4 weeks of paid vacation.
14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
Long-term disability, life insurance, and 401K plans.
100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
Monthly cell phone and internet subsidy.
Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
Continuous learning benefits & related support.

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