Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...
Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...
Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...
Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...
Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...
Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and execution skills * Is the primary driver for identifying significant opportunities, and driving ...
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for ex.
Machine Learning Manager
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Interface closely with product management, engineering, devops, labeling, and sales teams to build ...
Machine Learning Manager
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Interface closely with product management, engineering, devops, labeling, and sales teams to build ...
This is a strategic, greenfield bet, and we are hiring a Senior Manager, Machine Learning ... You will work alongside product, design, applied research, and partner engineering teams across ...
This is a strategic, greenfield bet, and we are hiring a Senior Manager, Machine Learning ... You will work alongside product, design, applied research, and partner engineering teams across ...
Machine Learning Manager
San Francisco, CA · On-site
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Interface closely with product management, engineering, devops, labeling, and sales teams to build ...
Machine Learning Manager
San Francisco, CA · On-site
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... Interface closely with product management, engineering, devops, labeling, and sales teams to build ...
This is a strategic, greenfield bet, and we are hiring a Senior Manager, Machine Learning ... You will work alongside product, design, applied research, and partner engineering teams across ...
This is a strategic, greenfield bet, and we are hiring a Senior Manager, Machine Learning ... You will work alongside product, design, applied research, and partner engineering teams across ...
Manager, Machine Learning Engineering - Video AI & Studio AI What We Do We build next-generation AI ... Build and scale production-grade ML systems for video understanding and creative workflows
Manager, Machine Learning Engineering - Video AI & Studio AI What We Do We build next-generation AI ... Build and scale production-grade ML systems for video understanding and creative workflows
... production A/B tests. Your team will be responsible for improving our core recommendation ... management, machine learning platforms, data engineering, data science, different content areas ...
... production A/B tests. Your team will be responsible for improving our core recommendation ... management, machine learning platforms, data engineering, data science, different content areas ...
... production A/B tests. Your team will be responsible for improving our core recommendation ... management, machine learning platforms, data engineering, data science, different content areas ...
... production A/B tests. Your team will be responsible for improving our core recommendation ... management, machine learning platforms, data engineering, data science, different content areas ...
Required : • 3+ years of direct management experience • 8+ years of experience building and deploying machine learning models in production environments • Experience with both deep learning and ...
Required : • 3+ years of direct management experience • 8+ years of experience building and deploying machine learning models in production environments • Experience with both deep learning and ...
Engineering Manager, Machine Learning
San Francisco, CA · On-site
$220K - $280K/yr
We sit on a novel and massive dataset of real production errors, spans, and logs from tens of ... We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team.
Engineering Manager, Machine Learning
San Francisco, CA · On-site
$220K - $280K/yr
We sit on a novel and massive dataset of real production errors, spans, and logs from tens of ... We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team.
Join GoFundMe as our next Senior Manager, Machine Learning Engineering i n the Applied Science ... Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
Join GoFundMe as our next Senior Manager, Machine Learning Engineering i n the Applied Science ... Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
Senior Manager, Machine Learning
$245K - $295K/yr
Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML ... direct management experience * 8+ years of experience building and deploying machine learning ...
Senior Manager, Machine Learning
$245K - $295K/yr
Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML ... direct management experience * 8+ years of experience building and deploying machine learning ...
Senior Manager, Machine Learning
San Francisco, CA · On-site
$245K - $295K/yr
Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML ... direct management experience * 8+ years of experience building and deploying machine learning ...
Senior Manager, Machine Learning
San Francisco, CA · On-site
$245K - $295K/yr
Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML ... direct management experience * 8+ years of experience building and deploying machine learning ...
Join GoFundMe as our next Senior Manager, Machine Learning Engineering i n the Applied Science ... Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
Join GoFundMe as our next Senior Manager, Machine Learning Engineering i n the Applied Science ... Translate product and business needs into scalable ML solutions with clear and measurable outcomes.
Manager, Machine Learning Engineering - Ad Platforms Req ID: 10152782 Technology is at the heart of ... Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product ...
Manager, Machine Learning Engineering - Ad Platforms Req ID: 10152782 Technology is at the heart of ... Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product ...
Product Manager Machine Learning information
What is the AI PM salary?
The salary for a Product Manager specializing in Machine Learning typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior roles or those in high-cost areas may offer higher compensation, often including bonuses and stock options. Strong knowledge of AI tools and data-driven decision-making are common requirements for this role.
What is a $900000 AI job?
A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with significant experience and leadership responsibilities.
How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?
Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.
What does a machine learning product manager do?
A machine learning product manager oversees the development and deployment of AI and machine learning products, coordinating between data scientists, engineers, and stakeholders. They define product requirements, prioritize features, and ensure that machine learning models meet business goals and performance standards, often using tools like data analysis and model monitoring platforms.
What does a Product Manager for Machine Learning do?
A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.
Which 3 jobs will survive AI?
Product Managers in machine learning will continue to be essential as they oversee AI projects, coordinate teams, and ensure alignment with business goals. Roles requiring complex problem-solving, creativity, and human judgment—such as data scientists and AI ethics specialists—are also likely to persist. These jobs demand skills that are difficult for AI to fully replicate, including strategic thinking and interpersonal communication.
What is the difference between Product Manager Machine Learning vs Data Scientist?
| Aspect | Product Manager Machine Learning | Data Scientist |
|---|---|---|
| Primary Focus | Overseeing ML product development, strategy, and deployment | Analyzing data, building models, and deriving insights |
| Required Skills | Product management, ML understanding, cross-functional collaboration | Statistics, programming, data analysis |
| Work Environment | Product teams, engineering, business stakeholders | Data analysis teams, research, engineering |
| Common Certifications | Product management certifications, ML courses | Data science certifications, programming skills |
While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.
What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?
To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What are popular job titles related to Product Manager Machine Learning jobs in California? For Product Manager Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in California look for? The top searched job categories for Product Manager Machine Learning jobs in California are:
What cities in California are hiring for Product Manager Machine Learning jobs? Cities in California with the most Product Manager Machine Learning job openings:
Meta rating
7.5
Based on 44 frontline employees who took The Breakroom Quiz
140th of 215 rated software companies
Job description
Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Managers with Machine Learning expertise who value moving quickly, and can help innovate and coherently drive product initiatives across the company.
Product Manager, Machine Learning Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Product Manager, Machine Learning Responsibilities:
- Display strong leadership, organizational and execution skills
- Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals
- Incorporate data, research and market analysis to inform product strategies and roadmaps
- Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health
- Understand Facebook’s strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
- Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
Minimum Qualifications:
- 8+ years product management or related industry experience with domain specific expertise in Machine Learning
- Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
- Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones
- Experience delivering technical presentations
- Experience in analyzing complex, large-scale data sets and making decisions based on data
- Experience in gathering requirements across broad areas and users, and converting and developing them into a product solution
- Displaying leadership, organizational and execution skills
- Proven communication skills
Preferred Qualifications:
- Experience with leveraging ML/AI to build large scale consumer products.
- Experience going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
- Experience defining vision and strategy for a product.
- Experience recruiting and leading a cross-functional team of world-class individuals.
- Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are the norm.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$173,000/year to $241,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$173,000/year to $241,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US