Member of Product Staff Job at Meta (Menlo Park, CA)

Job Description

Instagram is where over 3 billion people discover, create, and connect — and we've built one of the best consumer product teams in the industry to make that possible. Product Staff is how we build at Instagram: small, talent-dense teams of product builders, engineers, designers, and data scientists focused on creating amazing products directly. Beyond setting strategy, Members of the Product Staff create directional design, analyze data hands-on, and leverage AI tools to move faster with fewer handoffs. We are looking for product builders who value moving quickly and embrace AI-native product development.

Job Responsibility

Responsible for leading a product area
defining success metrics, identifying measurement opportunities, building metrics frameworks, prioritizing product problems and identifying the best strategies for the product, aligned with the organizational goals
Adapt and adjust your strategy to reflect learnings and changes in the product
Critically evaluate when AI is (and isn't) the right solution for user problems, with clear articulation of tradeoffs and risks
Maintain consistent UX quality by knowing when tool-generated output is sufficient vs. when specialist designer input is needed for production-quality craft
Produce strategic product visions that define market categories supported by directional design artifacts and prototypes
Develop AI-native strategies including evals strategy and data strategy that enable iteration and measurable quality improvements
Leverage AI for identifying opportunities through deep market research, user feedback synthesis, and competitive analysis
Work with a cross-functional team to define a product, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while maintaining team health
Reimagine workflows, responsibly using AI tools to increase personal and team velocity (e.g., faster synthesis, clearer decision docs, tighter iteration loops)
Foster a culture of rapid experimentation and learning, especially around AI-powered product development
Scale AI best practices (including responsible AI use) and proficiency across product teams to multiply impact
Coordinate proactively across partner functions for product success
Structure shared roadmaps for best outcomes
Orchestrate complex execution across multiple workstreams by combining AI automation with appropriate human oversight
Communicate product strategy and progress with clarity to all stakeholders
Interpret research and state-of-the-art learnings to design product strategy and apply logical reasoning
Understand system/architecture trade-offs and how they impact user experience and business priorities and engage credibly with engineering partners on constraints and decisions
Design experiments and interpret results (leveraging AI to accelerate analysis) and turn insights into concrete decisions
Partner with Data Science on complex experiment design and setup
Define and run evaluations (evals) in partnership with Data Science or Engineering to interpret model outputs and adjust execution based on learnings—treating evaluation as a first-class product practice
Create interactive prototypes using modern tools sufficient for user testing and engineering specs
Rapidly generate multiple design explorations during planning and roadmap sessions

Requirements

5+ years of relevant industry experience with at least 2 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 working with a cross-functional product team on a significant product area: Crafting product vision 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 multiple product life cycle phases
Proven experience to drive a material change in the performance of a product and the effectiveness of the team that delivers that product
Demonstrated experience to analyze large scale, complex data sets and making effective decisions based on data
Experience using AI-enabled tools to build product, prototypes, or other tangible product artifacts
Demonstrated ability to develop AI-native strategies including evals and data strategies
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 a product team and collaborating with partner teams
Demonstrated experience in communication, bringing extreme clarity to complex and technical messages at the appropriate level for the audience

Nice to have

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

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