Talent Engineer

Join Gong's Talent Acquisition team as a Talent Engineer. In this role, you will build the foundation for our talent acquisition processes by creating automations, integrations, and AI-powered workflows. You will unify our systems, build a talent intelligence repository, and create agentic solutions across the hiring lifecycle. You will report directly to the Senior Director of Talent Operations and work alongside our central People Analytics, HRIS, and IT teams.

Interest or prior exposure to the emerging discipline of applying software engineering directly to talent acquisition and recruiting operations

About Gong

• Experience designing and analyzing structured experiments — A/B or multivariate testing, in any domain — and the judgment to know when a result is real signal versus noise from too small a sample
• Comfort with ambiguity. This role is being defined as it's built; you'll help shape the roadmap, not just execute one

Responsibilities

• Unifier les systèmes de recrutement et d'acquisition de talents, en intégrant des outils tels que Workday, Greenhouse, Gem et BrightHire.
• Construire un référentiel d'intelligence sur les talents, permettant aux outils d'IA de répondre aux questions en utilisant des définitions et des données réelles.
• Développer des solutions autonomes tout au long du cycle de recrutement, y compris des rapports automatisés, une visibilité en temps réel sur les goulets d'étranglement et des outils de conversation.

Requirements

• Sound instincts around permissions and access-control design — you think about who should see what before you're asked to
• Real experience building solutions that integrate with external systems — APIs, OAuth, webhooks, rate limits, error handling in production, not just in a tutorial
• SQL proficiency — you're comfortable joining and querying data across systems
• Recruiting or Talent Acquisition background is a plus, not a requirement. We'd rather hire a strong builder who can learn the domain than the reverse

Strong scripting/backend skills (Python or TypeScript/Node)

• 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
• Familiarity with recruiting or HR systems (Greenhouse, Workday, Gem, BrightHire, or similar)

Preferred

• Experience in an analytics engineering, automation engineering, or solutions engineering role

Pay

USD 111,000 - 175,000