Group Product Manager, Applied AI, Generative Media and Entertainment, DeepMind
Mountain View, California, United States · On-site
$300k–$333k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree in Technology, Business, or a related field, or equivalent practical experience. 10 years of experience in a business function or role (e.g., marketing, business operations, cons…
Mountain View, California, United States · On-site
$174k–$252k/yr
Mid level$26M raised
Minimum qualifications: PhD in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. Experience in core ML model development. Experience with LLM training…
Mountain View, California, United States · On-site
$174k–$252k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching…
Skills: Embedded Systems, Software Development, Device Drivers, C, C++
Research Engineer, Gemini Code Post-training, DeepMind
Mountain View, California, United States · On-site
$174k–$252k/yr
Senior$26M raised
Minimum qualifications: Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience. 5 years of experience in software engineering or…
Staff ML Software Engineering Manager, Google Display Ads
Mountain View, California, United States · On-site
$207k–$300k/yr
Senior+$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deploymen…
Skills: Machine Learning, Software Engineering, Generative AI, LLMs, Recommendation Systems
Job Description: Senior Embedded Software Engineer Location: SFO Bay area / Hybrid Industry: Clean energy/ Software 1st Avenue Power (1AP) is creating a future where every nation, business, and community thrives with lim…
Skills: Embedded Software, C++, Rust, Go, Embedded Linux
Company Description LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciti…
Skills: Oracle Cloud EPM, Enterprise Data Management, Financial Planning & Analysis, Data Governance, Forecasting
Project Lead – Automotive Connected Vehicle Systems (Mountain View, CA)
Mountain View, California, United States · Hybrid
$155k–$185k/yr
Mid level
Are you interested in the latest technologies, exciting projects, and a great team that warmly welcomes you in its midst? Perfect. Then come join us! You are applying for a position at Technica Engineering Inc in USA. Te…
Skills: Project management, Automotive engineering, Test engineering, Validation, Systems engineering
Mountain View, California, United States · On-site
Mid level$23M raised
QA Manager Location: In-office — Corvus Robotics HQ, Mountain View, CA (this is not a remote or hybrid role) Department: Manufacturing and Operations Employment Type: Full-time About Corvus Every physical good spends tim…
Skills: Hardware testing, Robotics, Debugging, Firmware configuration, Test script development
Sharp Solutions, Inc.
Help Desk Tier 2 Mac Windows
Mountain View, California, United States · On-site
$55k–$60k/yr
Entry level
SSI is seeking a Help Desk Tier 2 Mac Windows professional. This is a full-time, benefits-eligible, onsite position based in the Mountain view, CA area. Roles and Responsibilities: Provide hardware and software support f…
Mountain View, California, United States · On-site
$60/hr–$75/hr
Senior$9M raised
Our Mission: Driving technology always feels old. Not by a little bit. We believe vehicles can be a thousand times smarter, safer, and more connected to the world around us, and our mission is to see it happen. In 2019, …
Skills: IT administration, Cloud infrastructure, Zero trust security, SaaS administration, Google Workspace
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficie…
Skills: Technical program management, Product management, Hardware/software integration, Embedded systems, Autonomous systems
Mountain View, California, United States · On-site
$150k–$200k/yr
Senior$450M raised
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation worl…
Skills: Procurement, Supply Chain Management, Vendor Management, Negotiation, Inventory Control
Senior HR Business Partner, Ads Product & Engineering
Mountain View, California, United States · On-site
$165k–$185k/yr
Senior
Position Summary Senior HR Business Partner, Ads Product & Engineering Samsung Electronics is a global leader in technology and innovation, with a wide range of products and services that are used by millions of people a…
Product Manager, Search, AI-Native Product Development
Mountain View, California, United States · On-site
$138k–$197k/yr
Mid level$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in product management or related technical roles. 1 year of experience taking technical products from conception to laun…
Skills: Product Management, Artificial Intelligence, Large Language Models, Agentic Architecture, Prototyping
Mountain View, California, United States · On-site
$174k–$252k/yr
Senior$26M raised
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with programming in Python and C++. 3 years of experience testing, maintaining, or launching software products, and 1 ye…
Skills: Python, C++, Software Design, Software Architecture, ML Infrastructure
Company Description LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciti…
Mountain View, California, United States · On-site
$63/hr–$68/hr
Senior$532M raised
Data Infrastructure Engineer (6 month contract) Lunar Energy is looking for a Data Infrastructure Engineer to design, deploy, and maintain the hybrid infrastructure stack underpinning our enterprise data platform. In thi…
Mountain View, California, United States · On-site
$106k–$150k/yr
Entry level$26M raised
Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience coding in one or more programming languages. 1 year of experience designing data pipelines, and dimensional data modeling…
Skills: Data Engineering, Data Pipelines, Dimensional Data Modeling, Flume, DataFlow
Distinguished Software Engineer, Data Infrastructure
Mountain View, California, United States · Hybrid
$253k–$416k/yr
Senior+$155M raised
Company Description LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciti…
Skills: Distributed systems, Online infrastructure, Databases, Technical leadership, System architecture
Group Product Manager, Applied AI, Generative Media and Entertainment, DeepMind
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$300k–$333k/yr
Full-time
bachelor degree
Bonus, Equity, Health Insurance
Posted 22d ago
~40 hrs/week
Responsibilities
You will bridge the gap between AI research and real-world enterprise impact by leading product development for generative media and entertainment applications. This involves managing cross-functional teams, conducting model evaluations, and defining product goals to deploy frontier AI solutions.
Requirements
Candidates must have at least 10 years of experience in a business function, 7 years of cross-functional collaboration, and 5 years in software engineering. A bachelor's degree in technology, business, or a related field is required.
Full job description
Minimum qualifications:
Bachelor's degree in Technology, Business, or a related field, or equivalent practical experience.
10 years of experience in a business function or role (e.g., marketing, business operations, consulting).
7 years of experience working cross-functionally with engineering, research, and other stakeholders.
5 years of experience in a role preparing and delivering technical presentations to executive leadership.
5 years of experience in software development or engineering.
Preferred qualifications:
Experience with advanced AI, LLMs (fine-tuning, agent harnesses), generative image, video, and audio models, and technical software development to build products and collaborate with engineering.
Expertise designing evaluation methods, model success metrics, safety protocols, and adversarial analysis to effectively address ethical risks and drive continuous product enhancements.
Proven ability to independently drive complex, ambiguous product initiatives, collaborating cross-functionally with engineering, legal, and GTM partners to deliver results.
Strong user-centric focus to identify pain points and build intuitive AI experiences, with demonstrated ability to deliver compelling technical presentations to executive leadership and external customers.
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.
As a Product Manager for DeepMind’s Applied AI team, you will bridge the gap between AI research and real-world enterprise impact, focusing specifically on image, video, and audio applications in media and entertainment. In this role, you will partner with clients, Research Engineers, and cross-functional teams to identify, scope, and deploy frontier AI solutions. This involves constructing technical solutions, conducting model evaluations, and managing complex engagements from early discovery to final delivery. You will define and lead the product goal, strategically integrating generative AI capabilities in a rapidly evolving landscape. You will grow in ambiguous environments, be passionate about advancing human-AI interaction, and translate subtle user needs into intuitive AI solutions.
Artificial intelligence will be one of humanity’s most transformative inventions. At 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.
We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Drive engagement progress programmatically and technically, focusing on developing model evaluations, identifying loss patterns, and transforming data to test hypotheses.
Manage various stakeholders, including DeepMind Research Engineers for technical delivery, clients for project execution, and cross-functional teams (GTM, legal, partnerships) to ensure firm engagement foundations.
Analyze the enterprise AI landscape, market trends, and engaged offerings to identify opportunities and threats for Google's AI products.
Maintain deep technical expertise in advanced AI to intuitively understand and predict emerging model capabilities.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
How much do Technology jobs in Mountain View, CA pay?
Based on 1342 listings with disclosed salaries, most technology jobs in Mountain View, CA pay between $135k–$280k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Mountain View, CA right now?
There are currently 1,483 open technology positions in Mountain View, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Mountain View, CA?
Companies currently hiring include Google, Aurora, LinkedIn, Nuro, NewsBreak, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Mountain View, CA?
Yes — 477 of the 1483 open technology positions offer remote or hybrid work (56 remote, 421 hybrid).
How do I apply for Technology jobs in Mountain View, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.