Drimva

Ent

Director, Talent & Performance

San Francisco · Hybrid · Director · Full-time · Posted Sep 19, 2026

Experience
Full performance-cycle experience at a company with 100–500 people; experience at 500 or more is described as ideal. No years specified.

About the job

Build and lead Ent’s connected talent and performance system, linking hiring signals with onboarding, leveling, reviews, and employee growth, using AI agents for operational work with human oversight on consequential decisions.

What you'll do

  • Design the employee lifecycle, competency ladders, and performance cycle; partner with the VP of People on the merit cycle.
  • Apply agentic AI to review preparation, calibration analysis, and reporting, and own performance metrics and manager coaching.
  • Partner with directors and managers, facilitate calibration, and uphold consistent performance decisions, including performance cases through termination.

What they ask for

  • Designed and personally run a full performance cycle during the build phase at a company with 100–500 people.
  • Built job architecture or competency ladders from scratch across multiple job families and secured manager adoption.
  • Demonstrate agentic AI workflows used in a people practice, with performance at the center, including human checkpoints and measurable impact.
  • Fluent in performance metrics; directly coached directors and managers; facilitated senior-leader calibration; and handled termination cases across multiple states with a legal partner.

Nice to have

  • Experience with talent management system implementation, multi-country work including employer-of-record arrangements, or a company that doubled headcount in under 18 months.
  • Experience partnering with a quota-carrying sales organization on ramp and performance management.

AI focus

Use agentic AI within talent and performance practices to automate review preparation, calibration analysis, and reporting, while retaining human checkpoints for ratings, pay, and employment decisions.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)