Product Manager Jobs in Fremont, CA
Product Manager jobs in Fremont are in strong demand, concentrated in the Warm Springs innovation corridor, Pacific Commons business district, and the Irvington area, across semiconductor equipment, clean energy, and enterprise software. Employers hiring right now include Tesla, Amphenol, and Scout Motors. Find a role that fits below and apply directly.
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Showing 5 of 694+ Product Manager jobs
Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About Us
Agility Robotics is a pioneer. Our humanoid robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency - robots specifically designed to work alongside people, in spaces built for people.
Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make humanoid robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive, and people's lives more fulfilling.
About The Role
Agility Robotics is looking for a Senior Product Manager to lead product strategy and development for Digit's perception and learned capabilities.
This is a highly technical product role at the intersection of robotics, artificial intelligence, perception, and real-world autonomous behavior. You will be responsible for defining what Digit must understand about its environment, how world understanding should improve the robot's ability to perform useful work, and how those capabilities are evaluated and matured for production use.
You will partner closely with perception, machine learning, robotics, autonomy, simulation, and software engineering teams while working across the broader Product organisation to translate customer and application needs into scalable robot intelligence capabilities.
The role requires the ability to bridge emerging AI and robotics technologies with real product outcomes. You will help determine which capabilities should be developed, what level of performance is required, how progress should be measured, and when a capability is ready to become part of the production product.
Key Responsibilities
- Own the perception and world understanding capabilities roadmap: Define the product strategy, priorities, and roadmap for perception-enabled and learned robot capabilities required to support Digit's expanding application portfolio.
- Define capability outcomes: Translate customer workflows and application requirements into clear requirements for perception, scene understanding, object understanding, learned behaviors, adaptation, motion planning and other AI-enabled robot capabilities.
- Establish performance metrics: Define product-level metrics and evaluation criteria for perception and learned capabilities, including accuracy, robustness, generalization, latency, failure behavior, and operational performance.
- Drive capability maturity: Establish expectations for progressing capabilities from research or prototype stages through validation, productization, and production deployment.
- Bridge AI technology and product needs: Partner with AI Models & Tools Product and Engineering teams to translate product capability needs into requirements for underlying models, datasets, training systems, tooling, and infrastructure.
- Drive generalisation: Identify when capabilities should move beyond narrow task-specific implementations toward reusable models and behaviors that work across objects, environments, customers, and applications.
- Partner deeply with technical teams: Work closely with robotics, perception, machine learning, autonomy, simulation, and systems engineering teams to make product and technical trade-offs and ensure technical investments align with meaningful product outcomes.
- Define evaluation strategy: Partner with Simulation, Systems, Engineering, and field teams to establish representative evaluation environments, test scenarios, datasets, and benchmarks for robot capability performance.
- Manage cross-product dependencies: Coordinate requirements and roadmap dependencies across task skills, robot software, hardware, simulation, infrastructure, customer applications, and deployment systems.
- Inform long-term product strategy: Help shape Agility's longer-term robot intelligence strategy by identifying where advances in AI and robotics can unlock meaningful new product capabilities and customer value.
- Communicate product direction: Clearly articulate product priorities, technical trade-offs, capability maturity, and roadmap decisions to engineering leaders, executives, commercial teams, and other stakeholders.
Key Qualifications
- Bachelor's degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related technical field. Advanced degree strongly preferred.
- 5+ years of Product Management or equivalent product leadership experience in robotics, autonomous systems, AI/ML, computer vision, or another deeply technical product environment.
- Strong understanding of machine learning, perception, robotics, autonomous systems, or related technical domains.
- Demonstrated ability to work effectively with highly technical engineering and research teams.
- Experience translating ambiguous customer or product problems into measurable technical capability requirements.
- Strong understanding of the distinction between technology performance and production product readiness.
- Experience defining metrics, benchmarks, or evaluation frameworks for complex technical products.
- Ability to evaluate technical trade-offs and communicate their product implications to both technical and non-technical audiences.
- Demonstrated ability to operate across multiple teams and influence without relying on direct authority.
- Strong strategic thinking combined with a willingness to engage deeply in product execution.
- Excellent written and verbal communication skills.
You May Have
- Experience with computer vision, foundation models, reinforcement learning, imitation learning, learned policies, or multimodal AI systems.
- Experience with manipulation or mobile robotics.
- Experience taking machine learning or robotics capabilities from research through production deployment.
- Experience with simulation, synthetic data, evaluation infrastructure, or large-scale robotics datasets.
- Experience building products that must operate reliably under significant real-world variation.
- Experience in warehouses, logistics, manufacturing, or other industrial environments.
- Experience with humanoid robots or mobile manipulation platforms.
- Advanced degree in Robotics, Computer Science, Machine Learning, Artificial Intelligence, or a related field.
This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About Us
Agility Robotics is a pioneer. Our humanoid robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency - robots specifically designed to work alongside people, in spaces built for people.
Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make humanoid robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive, and people's lives more fulfilling.
About The Role
Agility Robotics is looking for a Senior Product Manager to lead product strategy and development for Digit's perception and learned capabilities.
This is a highly technical product role at the intersection of robotics, artificial intelligence, perception, and real-world autonomous behavior. You will be responsible for defining what Digit must understand about its environment, how world understanding should improve the robot's ability to perform useful work, and how those capabilities are evaluated and matured for production use.
You will partner closely with perception, machine learning, robotics, autonomy, simulation, and software engineering teams while working across the broader Product organisation to translate customer and application needs into scalable robot intelligence capabilities.
The role requires the ability to bridge emerging AI and robotics technologies with real product outcomes. You will help determine which capabilities should be developed, what level of performance is required, how progress should be measured, and when a capability is ready to become part of the production product.
Key Responsibilities
- Own the perception and world understanding capabilities roadmap: Define the product strategy, priorities, and roadmap for perception-enabled and learned robot capabilities required to support Digit's expanding application portfolio.
- Define capability outcomes: Translate customer workflows and application requirements into clear requirements for perception, scene understanding, object understanding, learned behaviors, adaptation, motion planning and other AI-enabled robot capabilities.
- Establish performance metrics: Define product-level metrics and evaluation criteria for perception and learned capabilities, including accuracy, robustness, generalization, latency, failure behavior, and operational performance.
- Drive capability maturity: Establish expectations for progressing capabilities from research or prototype stages through validation, productization, and production deployment.
- Bridge AI technology and product needs: Partner with AI Models & Tools Product and Engineering teams to translate product capability needs into requirements for underlying models, datasets, training systems, tooling, and infrastructure.
- Drive generalisation: Identify when capabilities should move beyond narrow task-specific implementations toward reusable models and behaviors that work across objects, environments, customers, and applications.
- Partner deeply with technical teams: Work closely with robotics, perception, machine learning, autonomy, simulation, and systems engineering teams to make product and technical trade-offs and ensure technical investments align with meaningful product outcomes.
- Define evaluation strategy: Partner with Simulation, Systems, Engineering, and field teams to establish representative evaluation environments, test scenarios, datasets, and benchmarks for robot capability performance.
- Manage cross-product dependencies: Coordinate requirements and roadmap dependencies across task skills, robot software, hardware, simulation, infrastructure, customer applications, and deployment systems.
- Inform long-term product strategy: Help shape Agility's longer-term robot intelligence strategy by identifying where advances in AI and robotics can unlock meaningful new product capabilities and customer value.
- Communicate product direction: Clearly articulate product priorities, technical trade-offs, capability maturity, and roadmap decisions to engineering leaders, executives, commercial teams, and other stakeholders.
Key Qualifications
- Bachelor's degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related technical field. Advanced degree strongly preferred.
- 5+ years of Product Management or equivalent product leadership experience in robotics, autonomous systems, AI/ML, computer vision, or another deeply technical product environment.
- Strong understanding of machine learning, perception, robotics, autonomous systems, or related technical domains.
- Demonstrated ability to work effectively with highly technical engineering and research teams.
- Experience translating ambiguous customer or product problems into measurable technical capability requirements.
- Strong understanding of the distinction between technology performance and production product readiness.
- Experience defining metrics, benchmarks, or evaluation frameworks for complex technical products.
- Ability to evaluate technical trade-offs and communicate their product implications to both technical and non-technical audiences.
- Demonstrated ability to operate across multiple teams and influence without relying on direct authority.
- Strong strategic thinking combined with a willingness to engage deeply in product execution.
- Excellent written and verbal communication skills.
You May Have
- Experience with computer vision, foundation models, reinforcement learning, imitation learning, learned policies, or multimodal AI systems.
- Experience with manipulation or mobile robotics.
- Experience taking machine learning or robotics capabilities from research through production deployment.
- Experience with simulation, synthetic data, evaluation infrastructure, or large-scale robotics datasets.
- Experience building products that must operate reliably under significant real-world variation.
- Experience in warehouses, logistics, manufacturing, or other industrial environments.
- Experience with humanoid robots or mobile manipulation platforms.
- Advanced degree in Robotics, Computer Science, Machine Learning, Artificial Intelligence, or a related field.
This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
- 401(k) Plan: Includes a 6% company match.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Benefit Start Date: Eligible for benefits on your first day of employment.
- Well-Being Support: Employee Assistance Program (EAP).
- Time Off:
- Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
- Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
- On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
- Parental Leave: Generous paid parental leave programs.
- Work Environment: A culture that supports flexible work arrangements.
- Growth Opportunities: Professional development and tuition reimbursement programs.
- Relocation Assistance: Provided for eligible roles.
- Annual Discretionary Bonus: Provided for eligible roles.
All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.
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Find Product Manager JobsProduct Manager Job Market in Fremont
Who's Hiring
- Tesla154
- Amphenol77
- Scout Motors77
- Agility Robotics77
- RK Logistics77
Product Manager Jobs in Fremont: Frequently Asked Questions
How do I get a product manager job in Fremont?
Fremont's hiring is driven by semiconductor equipment manufacturers, EV and clean energy companies, and enterprise software firms, so candidates who can bridge hardware and software product cycles stand out. Roles concentrate in the Warm Springs district and Pacific Commons corridor. Experience working with cross-functional engineering teams, familiarity with manufacturing or hardware product lifecycles, and a portfolio showing measurable launch outcomes give applicants a clear edge in Fremont's market.
Which companies hire product managers in Fremont?
Companies currently hiring product managers in Fremont include Tesla, Amphenol, and Scout Motors, per current listings on Migrate Mate as of September 2026. Fremont's employer mix skews toward deep-tech and manufacturing firms alongside a growing base of SaaS and enterprise technology companies.
Are there remote product manager jobs in Fremont?
Yes, though availability depends on the sector. About 0% of product manager openings tied to Fremont are remote or hybrid as of September 2026, with remote work more common at software-focused employers than at hardware or manufacturing firms that require on-site collaboration. Discovery, roadmap, and stakeholder work tends to flex remotely, while lab and factory-floor coordination typically does not.
How can I get a product manager job in Fremont with little or no experience?
The most realistic entry path in Fremont is moving into a junior or associate product manager role at one of the city's mid-size semiconductor or clean energy companies, which often promote from within engineering, QA, or technical support teams. Gaining hands-on experience with hardware product development or operations processes is a meaningful differentiator locally. Building a portfolio with side projects, contributing to product communities in the East Bay, and targeting Fremont firms with structured rotational programs accelerates that transition.
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