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Staff Product Manager, Applied AI

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: aidevboard
Full Time position
Listed on 2026-08-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 215000 - 245000 USD Yearly USD 215000.00 245000.00 YEAR
Job Description & How to Apply Below
# Staff Product Manager, Applied AIApptronik
· Mountain View, CA·$215k - $245kfull-timelead

Posted 2 weeks ago Before you apply

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Get weekly job alerts like this →deep-learningautonomous-vehiclesreinforcement-learningfine-tuninggenerative-aihealthcarerobotics## About this role Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems.

You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

JOB SUMMARY You will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps.

ESSENTIAL DUTIES AND RESPONSIBILITIES / KEY

ACCOUNTABILITIES Own and maintain the physical AI model roadmap: product vision, milestones, and release cycles for the core model stack

Drive the integration, adaptation, and fine-tuning of foundation models into Apollo's autonomy stack. Sequence which capabilities graduate into the shipping model, balancing capability velocity against reliability and safety.

Translate customer use cases into model capability requirements and acceptance criteria

Partner with our data collection and evaluation team on benchmarks, real-world evaluation, and the success criteria that gate real-world deployment.

Own the data strategy that feeds model development: define what to collect and why, the target tasks and behaviors, and the quality bar.

Align data technology and operations teams on collection techniques, tooling, and quality expectations.

Define and prioritize use cases based on business impact, feasibility, and customer needs.

Ensure that product development efforts align with real-world economic value for customers.

Synthesize insights from user research, customer meetings, usage data, and sales feedback into a strategy that delivers business objectives and customer benefits.

Work with industrial design, user experience, and engineering teams to conceptualize and implement interactive features.

Define product features/enhancements and communicate requirements to engineering teams via clearly written requirements documents, diagrams, and concise verbal communication.

Support product marketing initiatives, partner relationships, and other opportunities to accelerate the adoption of our products.

SKILLS AND REQUIREMENTS7+ years of experience in product management

Strong understanding of modern robot learning techniques including imitation learning, reinforcement learning

Demonstrated experience integrating, adapting, or fine-tuning models

Strong familiarity with the constraints of running large neural networks on physical edge devices

Strong analytical skills with experience in performance tracking and data-driven decision-making.

Excellent communication skills, both verbal and written, enabling translation of technical insights into business impact.

You make decisions in uncertainty, prioritizing velocity over perfection

You prioritize user feedback, promoting and advocating for that voice to internal teams.

NICE TO HAVE Experience with autonomous robots or autonomous vehicles.

Experience using simulation tools to improve user experience.

Hands-on experience training or fine-tuning foundation

Experience with data collection operation (teleoperation fleets, annotation and curation pipelines).Experience working with customers in light and heavy duty industrial environments

Experience with robotics and functional safety standards (ISO 10218, ISO/TS…
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