Startups · AI

Forward Deployed Engineer - Flair Labs

Flair Labs · San Francisco, CA, US / Remote · Remote

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About Flair Labs

AI workforce for mortgage. Backed by Y Combinator and Antler.

About the role

We’re hiring a Founding Forward Deployed Engineer to lead how Flair Labs to integrate voice ai into customer ecosystems and how those integrations power our AI-driven needs analysis and personalized learning experiences.

What they're looking for

  • Senior-level experience as a Solutions Engineer, Forward Deployed Engineer, or similar customer-facing technical role
  • Strong background in APIs, integrations, and data pipelines
  • Comfort working directly with customers on ambiguous, high-impact problems
  • Ability to think both tactically (shipping integrations) and strategically (building systems that scale)
  • Experience collaborating closely with product, engineering, sales, and customer success
More about this role

We’re hiring a Founding Forward Deployed Engineer to lead how Flair Labs to integrate voice ai into customer ecosystems and how those integrations power our AI-driven needs analysis and personalized learning experiences.

This role sits at the intersection of engineering, product, and customers . You’ll work directly with enterprise clients to deploy Flair voice ai concierge in a way that feels native to their organization—while also shaping the technical foundations that make those deployments scalable and repeatable.

If you’ve been a lead solutions engineer and are looking for a step up in scope, ownership, and impact, this role is designed for you.

  • Design and implement integrations with core customer systems, including:

CRM, LOS (loan origination system) and other source systems

  • API integrations real-time within calls and downstream workflow
  • Ensure integrations are reliable, scalable, and easy for customers to adopt.
  • Act as the technical owner of complex, high-impact deployments.
  • Expand, harden, and shape Flair’s API to support:

Template-based, repeatable integrations

  • Self-serve or partner-led integrations with minimal Flair involvement
  • Define patterns, tooling,...

Read the full posting on Flair Labs's site ↗

Engineering

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