Console

Forward Deployed Engineer

San Francisco, California, United StatesFull time$180,000 - $280,000 / yearPosted 12 days ago
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Console is building the AI agents that power autonomous enterprises. We use AI to autonomously resolve IT, HR, Legal, Finance, Security, and Ops tasks the moment they come in from Slack or Teams. We're building toward a future where enterprise operations are fully autonomous; with no tickets, approvals, or manual processes slowing companies down.

Our platform enables companies like Databricks, Figma, and Cursor to delegate entire categories of work to AI agents that understands their org, takes action across systems, and gets smarter over time. We've raised $29M, backed by Thrive Capital (investors in OpenAI, Stripe, GitHub) and a small group of founders who have built category-defining companies.

We’re unusually selective about the people we work with. We hire builders who span functions, optimize for speed, and care deeply about their craft. We do not care about pedigree. We have a lot of work ahead of us. Join us.

ABOUT THE ROLE

As an Enterprise FDE at Console, you’ll be the technical owner for our largest and most complex customer deployments. You’ll work directly with customer teams to understand their environment, design the right implementation path, and solve the technical problems that determine whether a deployment succeeds.

You’ll work in complex customer environments where the right answer is rarely obvious from the start. In partnership with Deployment Strategists, you’ll help turn customer goals into implementation plans that are grounded in technical reality and built to survive enterprise constraints.

This is a highly technical, highly customer-facing role for someone who wants to build in the field. You’ll configure complex AI workflows, debug issues across customer environments, ship product changes or workarounds when needed, and bring the patterns you see back into the platform. You’ll have room to operate autonomously, work with some of the world’s largest companies, and shape how enterprise teams deploy AI in production.

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