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Alex in San Francisco is seeking a highly capable Forward-Deployed Engineer to design and implement how customers use Alex. You’ll translate hiring-process conversations into live workflows, build integrations with ATSs, and own the onboarding, deployment, and production monitoring.
You should read and write code, diagnose issues with evidence, and communicate clearly with customers and product teams. Bonus if you’ve worked with enterprise APIs and observability tooling.
Alex is an AI recruiter. Alex screens and interviews candidates over voice — on the web and over the phone — and it works inside the systems companies already recruit with: their applicant tracking system, their requisitions, their hiring process. Enterprises and staffing firms use it to run interviews at a volume they otherwise couldn't. Forward-Deployed Engineers are the technical owners of every Alex deployment. When a customer signs, FDEs are the people who make Alex work inside their systems and their process — and keep it working. It is the most end-to-end engineering role at the company: you design the solution, build it, integrate it, ship it to production, and own it afterwards.
Design and build how a customer uses Alex. Turn a hiring process described in a meeting into workflows that actually run — triggers, filters, interview guides, and the actions we take back in their ATS. When a customer needs something their setup doesn't do yet, you drive it: design, build, test, roll out, verify.
Own the integration surface. We integrate with roughly two dozen applicant tracking systems, some directly and some through a unified API partner. You’ll build new integrations, maintain existing ones, and go deep on the ones you own — along with the other systems a customer’s workflow reaches into, like assessment providers and identity verification.
Run the technical side of onboarding. Connection, permissions and scopes, job import, field mapping, workflow build, test interviews, go-live — sequenced so nothing is discovered in front of a candidate.
Own the deployments in production. The team owns the support queue — for customers and candidates both — and diagnoses to root cause rather than working around it. You’ll also build the monitoring that catches problems before a customer has to call.
Be the technical voice of the customer. You are the person who sees, across many accounts, where the product runs out. Turning that into an evidenced case our product engineering team can act on is part of the job.