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Inngest

Durable, event-driven platform for AI workflows

Developer Success Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Expertise in TypeScript development, with openness to new languages such as Python and Golang.
  • Knowledge and experience with queueing systems.
  • Ability to quickly understand and debug complex technical issues.
  • A track record of helping other developers succeed.
  • Deep empathy for developers and commitment to excellent developer experience.

Responsibilities

  • Deliver expert-level support to developers, from implementation troubleshooting to architectural guidance, and maintain an active presence with enterprise users.
  • Represent users in internal product-planning discussions.
  • Track down and document bugs, working closely with engineers on solutions.
  • Identify and document feature requests, uncover product-improvement opportunities, and help prioritize them.
  • Contribute to internal and public-facing documentation, use cases, and examples.
  • Support sales-led proofs of concept.
  • Develop and improve internal tools and integrations to optimize support workflows and improve the developer experience.
  • In the first week, learn team and support processes, use the product, understand its architecture and user workflows, and shadow the support rotation.
  • By day 30, help developers and the support inbox daily and join sales calls to learn about solutions engineering and proof-of-concept support.
  • By day 90, improve the customer-support workflow, build or suggest tools, organize user feedback and issues for the product team, and provide feedback that leads to product improvements.

Desired Qualifications

  • Experience working with Inngest.
  • Experience measuring customer success.
  • Experience with infrastructure.

About the Company

Inngest

Durable, event-driven platform for AI workflows

Inngest provides an event-driven durable execution platform for developers to build, test, and deploy AI-powered agentic workflows and backend systems at scale. Its architecture combines an event stream, queues, and durable execution to run fault-tolerant, serverless workloads. The product works by ingesting events, routing them through queues, and executing workflows or functions reliably via an API and SDKs; it also integrates with Neon Postgres to trigger functions from database changes and supports a modular

Company size
11-50
Company stage
Series A
Total funding
$31.6M
Headquarters
San Francisco, CA
Founded
2021

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