Render

Render

Customer Engineer

Remote: United States · Mid

Sponsorship not specifiedDetected 49 days ago
Full-Stack DevelopmentPostgreSQLAWSCloud PlatformsRESTLLMsComplianceOutbound SalesRecruitingCustomer SupportIntercomCommunication

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.

Responsibilities

  • 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.
  • 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.
  • Maintain activity tracking and feature-request data hygiene so reliable customer signals flow to the rest of Field Engineering and Product.
  • 3+ years in a customer-facing technical role: customer engineering, solutions engineering, technical support, or developer relations.
  • We will also work with you to create a supportive plan of return.

Requirements

  • Comfort operating a high-volume, one-to-many motion
  • Working knowledge of Postgres and common database migration patterns (Heroku, AWS RDS).
  • Experience with Intercom or a similar in-app engagement and messaging platform.
  • Experience in a PLG or high-volume account environment.
  • Prior experience with Heroku or other cloud migrations.

Benefits

  • 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.
  • 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.
  • Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
  • Continuous learning benefits & related support.
  • Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.

Company info

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

Equal opportunity

  • Please contact us to request accommodation.

Visa & Work Authorization

  • This position is generally not eligible for new visa sponsorship.

This listing is sourced directly from Render's careers page and normalized into a canonical job model.