Gong.io

Talent Engineer

Gong.io$111K — $175K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of building solutions that integrate with external systems through APIs and automation.
  • Proficiency in scripting and backend development using Python or TypeScript/Node.
  • Strong SQL skills for data querying across integrated systems.
  • Experience with LLM APIs and function-calling patterns; MCP knowledge is a plus.
  • Understanding of access-control design and permission management.
  • Hands-on experience with structured experiments, such as A/B testing.
  • Ability to navigate ambiguity and contribute to roadmap shaping.

Responsibilities

  • Integrate existing HR systems like Workday and Greenhouse into a unified solution.
  • Create a talent intelligence repository for AI-driven insights using real data.
  • Develop automated tools for real-time visibility on hiring workflows and metrics.
  • Perform evaluations on build-vs-buy strategies for talent tech solutions.
  • Utilize experimentation to improve outbound sourcing and offer effectiveness.
  • Collaborate with People Analytics and IT teams to ensure governance in data and tooling.

Benefits

  • Comprehensive medical, dental, and vision plans for you and your family.
  • Flexible wellness stipend through Wellbeing Fund.
  • Mental health benefits including therapy and coaching services.
  • 401(k) program to support your financial future.
  • Education and personal development stipend.
  • Flexible vacation policy for work-life balance.
  • Paid parental leave for family support.
  • Company-wide recharge days for employee refreshment.
  • Work from home stipend to enhance remote work success.
Full Job Description
ABOUT THE ROLE

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 lifecyclefor 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 evaluationfor 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.
WHAT WE'RE LOOKING FOR
  • Real experience building solutions that integrate with external systems - APIs, OAuth, webhooks, rate limits, error handling in production, not just in a tutorial.
  • Strong scripting/backend skills (Python or TypeScript/Node).
  • SQL proficiency - you're 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 - you think about who should see what before you're asked to.
  • 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.
  • 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.
NICE TO HAVE
  • Experience in an analytics engineering, automation engineering, or solutions engineering role.
  • Familiarity with recruiting or HR systems (Greenhouse, Workday, Gem, BrightHire, or similar).
  • Interest or prior exposure to the emerging discipline of applying software engineering directly to talent acquisition and recruiting operations.
HOW WE'LL EVALUATE YOU

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.
REPORTING & SUPPORT

You'll report directly to the Senior Director, Talent Operations, with technical mentorship and architectural review provided through our central AI development team.
PERKS & BENEFITS
  • We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family's needs.
  • Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
  • Mental Health benefits with covered therapy and coaching.
  • 401(k) program to help you invest in your future.
  • Education & learning stipend for personal growth and development.
  • Flexible vacation time to promote a healthy work-life blend.
  • Paid parental leave to support you and your family.
  • Company-wide recharge days each quarter.
  • Work from home stipend to help you succeed in a remote environment.

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.

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the [redacted].io domain. Any outreach claiming to be from Gong via other sources should be ignored.

About Gong.io

Gong.io is a software company that provides a platform for sales teams to improve their performance through data-driven insights. The company's platform uses artificial intelligence and machine learning algorithms to analyze sales calls and meetings, providing insights into what works and what doesn't. Gong.io's platform is designed to help sales teams improve their communication skills, identify areas for improvement, and close more deals. The company was founded in 2015 and is based in San Francisco, California.
Learn more about Gong.io
Size
500 employees
Industry
Founded
2015

Similar Jobs

More Jobs at Gong.io

More Technical Services Jobs

Find similar Talent Engineer jobs: