Drimva

Amazon

Technical Program Manager, Fauna

$140K–$189K

New York, NY · Manager · Full-time · Posted Oct 23, 2026

Experience
3+ years of technical product or program management; 3+ years in QA, test, or validation of hardware or hardware-plus-software products, or technical program management for such products.

About the job

Owns release testing and data-quality validation for robot behavior, teleoperation, and robot data collection, from hands-on testing through issue resolution and release recommendations.

What you'll do

  • Write, maintain, and run regression and adversarial test plans for robot behavior, teleoperation updates, releases, and new policies; report findings and recommend go/no-go decisions.
  • Support and validate data collection through hands-on robot testing, benchmark collection, episode review, task pilots, and quality checks.
  • Coordinate test activities, track issues to resolution, maintain documentation, and onboard data collectors and QA team members.

What they ask for

  • 3+ years of technical product or program management experience.
  • Experience managing cross-functional programs, building processes, and coordinating release schedules.
  • 3+ years in quality assurance, test, or validation of hardware or hardware-plus-software products, or technical program management for such products.
  • Experience writing and running structured test plans and SOPs; hands-on work with experimental hardware; teleoperation or extensive VR/XR headset use; Linux and command-line proficiency; and training, onboarding, or mentoring others.

Nice to have

  • 3+ years of working directly with engineering teams; robot teleoperation, robot-learning data collection, or validation of robot control or learned policies on hardware.
  • Python scripting for hardware control; experience with LLMs or AI coding tools to build internal QA tools.

Pay

USD 139,900.00 - 189,200.00 annually (base salary)

Tools

Linux, Meta Quest 3, Python, LLMs, AI coding tools

AI focus

Validating new robot policies and supporting robot-learning data collection; using LLMs or AI coding tools to build simple internal QA tools is preferred.

Model-written summary · the original posting is authoritative

First seen Oct 24, 2026 · Last verified Nov 4, 2026 (UTC)