Apptronik
Staff Product Manager, Applied AI
$275K–$350K
Sunnyvale, California +1 · Staff · Full-time · Posted Jul 29, 2026
- Location
- Sunnyvale, California
Sunnyvale, California, United States - Experience
- 7+ years of product management experience; education/experience section states at least 10 years of product management or engineering experience.
- Education
- Bachelor's degree (or equivalent) in mechanical, electrical, systems, or robotics engineering, or a related field; advanced degree or MBA helpful.
About the job
Own the product vision and roadmap for Apollo’s physical AI model stack, translating customer needs into model capabilities and coordinating their development, evaluation, and deployment.
What you'll do
- Set model roadmap, milestones, and release cycles; prioritize capabilities for shipping based on reliability and safety.
- Translate customer use cases into requirements and acceptance criteria, and partner with data teams on collection strategy and evaluation.
- Align engineering and cross-functional teams on product requirements, use cases, and customer-focused product plans.
What they ask for
- Strong understanding of robot learning techniques, including imitation learning and reinforcement learning.
- Demonstrated experience integrating, adapting, or fine-tuning models.
- Strong familiarity with constraints of running large neural networks on physical edge devices.
- Strong analytical skills and experience with performance tracking and data-driven decisions.
Nice to have
- Experience with autonomous robots or autonomous vehicles.
- Experience with simulation tools, foundation-model training or fine-tuning, data collection operations, industrial customers, or robotics safety standards.
Pay
USD $275,000 - $350,000 base salary (CA)
Tools
imitation learning, reinforcement learning, large neural networks, physical edge devices, ISO 10218, ISO/TS 15066, ISO 13482, RIA 15.08
AI focus
Drive integration, adaptation, and fine-tuning of foundation models in Apollo’s autonomy stack; define model capabilities, data strategy, benchmarks, and criteria for real-world deployment.
Model-written summary · the original posting is authoritative