Product Lead Jobs in Mountain View, CA
Product Lead jobs in Mountain View are in strong demand, concentrated in the Castro Street corridor, Shoreline West, and the North Bayshore tech campus zone across consumer tech, SaaS, and AI infrastructure. Employers hiring right now include Google, Intuit, and Youtube. See the openings below and apply to the ones that match your experience.
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Showing 5 of 667+ Product Lead jobs
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or a related technical role.
- 5 years of experience taking technical products from initial concept to launch.
Preferred qualifications:
- Experience in AI security, model defense, anti-distillation techniques, adversarial ML, red teaming, and securing physical AI ecosystems like robotics, drones, and autonomous vehicles.
- Expertise securing systems across hardware, firmware, operating systems, and software, combined with AI/ML fundamentals, cybersecurity, threat modeling, edge computing, and model security.
- Exceptional leadership driving complex, multi-year strategic bets, cross-functional initiatives while also simplifying complex technical concepts for senior executives while defining quantitative evaluation security metrics.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
This is a leadership opportunity at Google DeepMind to own the product strategy for Robotics Security and Anti-Distillation. As autonomous robots and frontier models become more capable, they introduce new security challenges across physical execution and model protection. You will set the multi-year outlook to ensure our embodied AI systems remain safe, aligned, and resilient against attacks.
In this role, you will be the single-threaded product owner responsible for addressing threats like model extraction, unauthorized distillation, and adversarial attacks. Your scope includes defining the product roadmap for operationalizing anti-distillation defenses to safeguard proprietary IP, while establishing architectures that ensure system integrity.
You will navigate complex trade-offs between physical capability, autonomous execution velocity, and robust IP protection, aligning executive leadership across Google to deploy trustworthy, theft-resistant robotic and AI systems.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define and own the multi-year outlook, strategy, and product roadmap for a portfolio of Robotics Security and Anti-Distillation initiatives across Google DeepMind.
- Lead product definition to build secure execution foundations and defend against threats like input manipulation, command injection, unauthorized distillation, and adversarial misuse.
- Translate research breakthroughs—such as watermarking, abuse detection, and query analysis—into scalable production defenses, ensuring frontier models and embodied agents remain secure.
- Partner closely with PhD Researchers, Engineering, Safety, and Legal teams to manage the complete product lifecycle from ambiguous research to large-scale strategic deployment.
- Drive alignment with senior leadership, establish defense efficacy metrics, and serve as the leading product authority bridging embodied AI research and production security.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in product management or a related technical role.
- 5 years of experience taking technical products from initial concept to launch.
Preferred qualifications:
- Experience in AI security, model defense, anti-distillation techniques, adversarial ML, red teaming, and securing physical AI ecosystems like robotics, drones, and autonomous vehicles.
- Expertise securing systems across hardware, firmware, operating systems, and software, combined with AI/ML fundamentals, cybersecurity, threat modeling, edge computing, and model security.
- Exceptional leadership driving complex, multi-year strategic bets, cross-functional initiatives while also simplifying complex technical concepts for senior executives while defining quantitative evaluation security metrics.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
This is a leadership opportunity at Google DeepMind to own the product strategy for Robotics Security and Anti-Distillation. As autonomous robots and frontier models become more capable, they introduce new security challenges across physical execution and model protection. You will set the multi-year outlook to ensure our embodied AI systems remain safe, aligned, and resilient against attacks.
In this role, you will be the single-threaded product owner responsible for addressing threats like model extraction, unauthorized distillation, and adversarial attacks. Your scope includes defining the product roadmap for operationalizing anti-distillation defenses to safeguard proprietary IP, while establishing architectures that ensure system integrity.
You will navigate complex trade-offs between physical capability, autonomous execution velocity, and robust IP protection, aligning executive leadership across Google to deploy trustworthy, theft-resistant robotic and AI systems.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $256000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Define and own the multi-year outlook, strategy, and product roadmap for a portfolio of Robotics Security and Anti-Distillation initiatives across Google DeepMind.
- Lead product definition to build secure execution foundations and defend against threats like input manipulation, command injection, unauthorized distillation, and adversarial misuse.
- Translate research breakthroughs—such as watermarking, abuse detection, and query analysis—into scalable production defenses, ensuring frontier models and embodied agents remain secure.
- Partner closely with PhD Researchers, Engineering, Safety, and Legal teams to manage the complete product lifecycle from ambiguous research to large-scale strategic deployment.
- Drive alignment with senior leadership, establish defense efficacy metrics, and serve as the leading product authority bridging embodied AI research and production security.
See All 667+ Product Lead Jobs in Mountain View
Find roles in Mountain View that match your experience and apply in just a few clicks.
Find Product Lead JobsProduct Lead Job Market in Mountain View
Who's Hiring
- Google324
- Intuit144
- Youtube36
- DeepMind36
- Waymo18
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
Product Lead Jobs in Mountain View: Frequently Asked Questions
How do I get a product lead job in Mountain View?
Mountain View's product lead market is dominated by large consumer tech and AI platform companies concentrated in North Bayshore and along the Highway 101 corridor, with a secondary cluster of mid-size SaaS and developer-tools companies near Castro Street. Candidates with experience shipping B2B or B2C products at scale and familiarity with data-driven prioritization stand out. Engaging directly with companies that have active Mountain View offices gives you an edge over remote applicants.
Which companies hire product leads in Mountain View?
Employers hiring product leads in Mountain View right now include Google, Intuit, and Youtube, based on current listings on Migrate Mate as of August 2026. Mountain View's employer base skews toward large tech platforms and well-funded growth-stage companies with established product organizations.
Are there remote product lead jobs in Mountain View?
Yes, though many Mountain View product lead roles expect regular on-site collaboration given how many large tech employers here rely on cross-functional in-person cycles. About 57% of product lead openings tied to Mountain View are remote or hybrid as of August 2026, with hybrid arrangements most common at mid-size SaaS companies in the Castro Street area. Fully remote roles tend to be at companies with distributed engineering teams.
How can I get a product lead job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is a lateral move from a program management, data analyst, or associate product manager role within one of the area's larger tech employers, which often promote internally into lead tracks. Smaller Mountain View SaaS and developer-tools companies also hire product leads with two to three years of cross-functional ownership experience where the title reflects scope rather than tenure. Building a portfolio of shipped features and measurable outcomes helps candidates stand out.
Which industries hire the most product leads in Mountain View?
Mountain View product lead roles concentrate in Technology & Software and Investment & Asset Management, based on current listings on Migrate Mate as of August 2026. Mountain View's density of large consumer internet platforms, AI research divisions, and cloud infrastructure companies keeps demand for experienced product leads consistently high across those sectors.
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See All 667+ Product Lead Jobs in Mountain View
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