Location: New York, NY
Work model: In-person
Industry: AI / Recruiting Infrastructure
Compensation: $150K-$220K base plus early-stage equity
The OpportunityWe are hiring a Forward Deployed Engineer to sit between our product and the companies using it. This is a highly technical, customer-facing role for someone who would rather solve a customer's problem in their environment than file a ticket about it.
You will own integrations, pilots, and technical onboarding for new clients, and you will be the person who makes the first weeks work. Because you will see exactly where the product breaks in the real world, your input will shape what engineering builds next.
Responsibilities- Own technical onboarding for new clients, from first integration through a working pipeline
- Build and maintain integrations with client applicant tracking systems and hiring workflows
- Debug data, webhook, and matching issues end to end, across our stack and the client's
- Translate what clients actually need into concrete product and engineering requirements
- Partner with go-to-market on technical conversations during evaluation and rollout
- Build internal tooling that removes recurring manual work from the deployment process
Requirements- 3+ years in software engineering, solutions engineering, forward deployed engineering, or technical consulting
- Strong engineering fundamentals and comfort reading and writing production code, not just scripts
- Experience debugging integrations, webhooks, and data pipelines across systems you do not control
- Ability to work directly with customers and hold a credible technical conversation with senior engineers
- Comfort operating with ambiguity and little structure at an early-stage company
- Judgment about when to fix something for one customer and when to fix it in the product
Nice to Have- Experience with applicant tracking systems such as Workable, Ashby, or Greenhouse
- TypeScript, Next.js, and Postgres experience
- Prior work at a seed or Series A company, especially as an early technical hire
- Exposure to LLM-backed products and their failure modes in production
