Talent Engineer
$111k - $175k • Remote • Austin | Chicago | New York City | Salt Lake City | San Francisco
Posted 9d ago
Job Location
Austin | Chicago | New York City | Salt Lake City | San Francisco
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Agent Engineer
About the job
Gong is seeking an engineer to build the foundational systems for its Talent Acquisition team. This role is a 0-to-1 build, focused on creating automations, integrations, and AI-powered workflows to connect disparate systems like HRIS, ATS, and interview intelligence tools. The goal is to provide recruiters and hiring managers with a unified view of candidate and employee data, enabling faster, data-driven decisions without manual intervention. You will be responsible for shipping functional systems that improve efficiency and provide actionable insights, rather than focusing on traditional recruiting tasks.
Responsibilities
- Integrate and unify systems including Workday (HRIS), Greenhouse (ATS), Gem (sourcing), and BrightHire (interview intelligence).
- Build a governed data and context layer for AI tools to access talent data accurately.
- Develop agentic solutions for tasks such as automated reporting, bottleneck identification, self-serve pipeline status, candidate surfacing, interview quality analysis, offer risk prediction, and recruiter capacity modeling.
- Contribute to build-vs-buy decisions for the talent technology stack.
- Own outbound sourcing and offer effectiveness through structured experimentation and agent-based monitoring.
- Collaborate with People Analytics, HRIS, and IT teams to ensure data governance and tooling alignment.
Requirements
- Proven experience building production solutions that integrate with external systems via APIs, OAuth, or webhooks.
- Strong scripting/backend skills in Python or TypeScript/Node.
- Proficiency in SQL for querying data across systems.
- Hands-on experience with LLM APIs and tool/function-calling patterns.
- Sound understanding of permissions and access-control design.
- Experience designing and analyzing structured experiments (e.g., A/B testing).
- Comfort with ambiguity and shaping a roadmap in a newly defined role.