Turn this role into an interview — a resume and cover letter built around what this employer wants.
Gong is building a revolutionary talent operations platform. This role focuses on unifying disparate systems, designing a governed data layer, and delivering AI-powered workflows that give recruiters and hiring managers real-time visibility, speed, and quality across the recruiting lifecycle.
You will ship autonomous solutions, define build-vs-buy strategies, and enable self-serve pipeline status for leadership and recruiters, with a strong emphasis on data governance and security.
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.
At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.
Today, Gong’s Talent Acquisition team runs on manual processes and disconnected systems — candidate data in one tool, interview data in another, employee data in a third, and no way to see across any of it without someone stitching it together by hand. This role exists to fix that permanently, with a system, not a person doing it manually.
You will not recruit. You won’t source candidates, screen resumes, or run interviews. Your job is to build the engine underneath all of that: the automations, integrations, and AI-powered workflows that let recruiters and hiring managers actually see what’s happening and move faster, without you in the loop for every question.
This is a 0-to-1 build. There’s no existing talent engineering function here today — you’re standing it up wiring all of our disparate systems into a single governed layer that AI tools can actually reason over. Success looks like shipped systems, not proposals: a dashboard that updates itself, a stuck-req alert that never needed a human to notice it, an agent that a recruiter or manager can interact with instead of having to manually find the solution.
You’ll be evaluated the same way an engineer is evaluated — by what you ship and the measurable difference it makes. Prior recruiting operations experience is useful context, not a requirement.
WHAT YOU’LL DO
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:
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 our central People Analytics, HRIS, and IT teams — this role owns 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.
Less resume, more proof. Come ready to walk through 2–3 systems you’ve actually built — what problem they solved, how you designed them, and what changed because they existed. Diagrams, repos, or before/after metrics are worth more here than a title on a LinkedIn page.
You’ll report directly to the Senior Director, Talent Operations, with technical mentorship and architectural review provided through our central AI development team.
The annual salary hiring range for this position is $111,000 - $175,000 USD.
Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
To review Gong’s privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.