Senior Product Manager — AI-Driven & Cross-Functional

Meta; Sacramento (CA); On-site; USD 173,000 - 241,000; Full time

Job summary

Meta Product Managers work with cross-functional teams to build products, emphasizing speed and impact. This role requires leading complex product areas, coordinating with engineers, designers, data scientists, and researchers to drive strategy, roadmap, and milestones across the product lifecycle.

Candidates should demonstrate extensive experience in product management, data-driven decision making, and ability to hire and grow cross-functional teams, with a focus on AI-enabled processes and

Qualifications

• 8+ years of relevant industry experience with at least 3 years in Product Management
• Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
• Experience leading cross-functional product team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
• Experience managing a product through the full product lifecycle
• Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product
• Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data
• Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy
• Experience leading and motivating teams and influencing across an organisation
• Demonstrated experience in communication, bringing extreme clarity to complex messages
• Experience identifying and hiring the right talent to build a cross-functional team
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact
• 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

Responsibilities

• Be responsible for leading and driving a complex product area
• defining success, prioritizing problems and identifying the best stategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context
• Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area. Identify when to stop as well as when to start investment
• Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and up-levelling the effectiveness of the team
• Actively identify opportunities and resolve dependencies by creating shared strategiest across teams in adjacent product areas
• Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization
• Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals
• Communicate product strategy and progress with radical clarity to all stakeholders
• Support the growth of other PMs and cross-functional team members by providing mentorship and coaching

Education

Bachelor's degree or relevant degree equivalent

Job description

Meta Product Managers work with cross-functional teams to build products, emphasizing speed and impact. This role requires leading complex product areas, coordinating with engineers, designers, data scientists, and researchers to drive strategy, roadmap, and milestones across the product lifecycle.

Candidates should demonstrate extensive experience in product management, data-driven decision making, and ability to hire and grow cross-functional teams, with a focus on AI-enabled processes and