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Talent Engineer

Gong· Talent Acquisition
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Hybrid (Austin, Chicago, New York City, Salt Lake City, San Francisco)$111k - $175kfull-timePosted 1mo ago

About the role

Role focused on building the automation, integrations, and AI-powered workflows that underpin Gong's Talent Operations system, unifying disparate HR, recruiting, and interview data into a governed, AI-reasonable layer. 0-to-1 build to ship measurable systems and dashboards, enabling recruiters and hiring managers to see and act without manual stitching.

Responsibilities

  • Unify our systems and make them useful. Connect and integrate Workday (HRIS), Greenhouse (ATS), Gem (sourcing), and BrightHire (interview intelligence).
  • Build the talent intelligence repository. A governed data and context layer that lets AI tools answer questions using our real definitions and data, with proper permissions — not generic or hallucinated logic.
  • Build agentic solutions across the hiring lifecycle for things like: Automated reporting on time in stage metrics; Real-time visibility into bottlenecks in our workflow; A conversational tool that lets talent leadership and managers self-serve pipeline status; Surfacing previously-qualified candidates already in our ATS against new roles; Interview quality and consistency signals from recorded interviews; Predictive flags for at-risk offers; Recruiter workload and capacity modeling.
  • Real input on build-vs-buy evaluation for our talent tech stack. Work directly with your manager to assess where in-house tooling can replace or reduce reliance on outside vendors.
  • Own outbound sourcing and offer effectiveness. Apply structured experimentation to how we reach and hire candidates — testing messaging, timing, and sequencing to systematically improve response, interest and acceptance rates instead of guessing. Build agents that continuously monitor these conversion rates, flags when performance starts trending in the wrong direction before it becomes a bigger problem, and refines its own benchmarks and test design as more data comes in.
  • Partner, not duplicate. Work alongside central People Analytics, HRIS, and IT teams; own the talent-specific slice of data, automation, and tooling, operating inside the same governance model IT is building for technical/builder tool access company-wide.

Qualifications

  • Real experience building solutions that integrate with external systems — APIs, OAuth, webhooks, rate limits, error handling in production.
  • Strong scripting/backend skills (Python or TypeScript/Node).
  • SQL proficiency — comfortable joining and querying data across systems.
  • Hands-on experience with LLM APIs and tool/function-calling patterns; direct experience with MCP (Model Context Protocol) is a strong plus, though not required.
  • Sound instincts around permissions and access-control design.
  • Experience designing and analyzing structured experiments — A/B or multivariate testing, in any domain.
  • Comfort with ambiguity. You’ll shape the roadmap, not just execute.
  • Recruiting or Talent Acquisition background is a plus, not a requirement.

Skills

Required:System integration and orchestrationBackend scriptingSQLLLM APIs and tool-callingPermissions and access-control designExperiment design and analysis

Benefits

  • Medical, dental, and vision plans.
  • Wellbeing Fund - flexible wellness stipend.
  • Mental Health benefits with covered therapy and coaching.
  • 401(k) program.
  • Education & learning stipend.
  • Flexible vacation time.
  • Paid parental leave.
  • Company-wide recharge days each quarter.
  • Work from home stipend.
Last updated Sep 20, 2026. Interested? Apply on the company site.
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About Gong

Gong Revenue AI OS helps your entire GTM organization win. Drive growth with multimodal revenue signal processing, specialized AI agents, and purpose-built applications.

AIAI agents for revenue teamsAI-powered revenue signalsGong AgentsGong CollectiveGong EnableGong EngageGong Forecast
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