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