Apptronik Logo

Apptronik

Staff Product Manager, Applied AI

Posted 15 Minutes Ago
Be an Early Applicant
Easy Apply
Hybrid
Mountain View, CA
215K-245K Annually
Expert/Leader
Easy Apply
Hybrid
Mountain View, CA
215K-245K Annually
Expert/Leader
Lead product vision and roadmap for Apollo's physical AI model stack, translate customer use cases into model requirements, own data strategy and collection, coordinate cross-functional engineering and design teams, and prioritize safe, reliable deployment of foundation models on robotic edge hardware to deliver business value.
The summary above was generated by AI

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 REQUIREMENTS
  • 7+ 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 15066, ISO 13482, RIA 15.08).
EDUCATION and/or EXPERIENCE
  • Bachelor's degree (or equivalent) in mechanical, electrical, systems, or robotics engineering, or a related field; advanced degree or MBA helpful.
  • At least 10 years of experience in product management or engineering, including 5+ years leading product managers, with a track record of shipping complex hardware products.
PHYSICAL REQUIREMENTS
  • Prolonged periods of sitting at a desk and working on a computer.
  • Ability to spend time on lab and manufacturing floors, and to travel to supplier and manufacturing sites as needed.
  • Must be able to lift 15 pounds at times.
  • Vision to read printed materials and a computer screen; hearing and speech to communicate.
    The annual salary range is $215,000 - $245,000


*This is a direct hire.  Please, no outside Agency solicitations. 

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Similar Jobs at Apptronik

20 Hours Ago
Easy Apply
Hybrid
Easy Apply
190K-223K Annually
Senior level
190K-223K Annually
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Lead the simulation product vision and roadmap, define simulation environments for perception, autonomy, and navigation, prioritize realistic customer use cases, translate user research and data into requirements, and coordinate cross-functional execution to enable testing and adoption of robot fleet software.
Top Skills: Digital TwinsIssacMujocoPhysics EnginesRendering PipelinesRobotic Simulation EnginesSimulation-In-The-LoopSynthetic DataUnity
11 Days Ago
Easy Apply
Hybrid
Easy Apply
287K-320K Annually
Expert/Leader
287K-320K Annually
Expert/Leader
Computer Vision • Hardware • Machine Learning • Robotics • Software
Lead software product management for on- and off-robot systems across autonomy, simulation, platforms, and cloud tools. Build and manage a PM team, define commercial strategy (SaaS/RaaS), set roadmaps and release governance, oversee lifecycle (OTA, fleet observability), coordinate with engineering, ML, hardware, safety, and partners, and drive data and metrics for fleet-deployed robotic products.
Top Skills: AIAutonomyCloudCloud-To-Edge ArchitectureEdge DeploymentFleet ManagementMachine LearningMiddlewareNavigationOver-The-Air Updates (Ota)PerceptionRaasSaaSSimulation
24 Days Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Lead system-level architecture, requirements, and V&V for Apollo's perception suite. Translate autonomy capabilities into verifiable requirements, run trade studies, define ICDs, manage system budgets, and ensure functional safety compliance while mentoring teams and aligning autonomy and hardware engineering.
Top Skills: DoorsIec 61508ImuInterface Control Documents (Icd)Iso 13849JamaLidarMatlabMbseObject DetectionPolarionPythonRadarSensor FusionSlamStereo VisionTime-Of-Flight (Tof)Visual-Inertial Odometry (Vio)

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account