Member of Product Staff Job at Meta (Menlo Park)

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

Vision & Strategy: Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies and roadmaps in the context of broader organizational strategies and goals
Generate buy-in and drive consensus across organizations
Bring clarity and structure to ambiguous opportunities
Consistently demonstrate initiative and execute with limited oversight
Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis
Produce strategic product visions that define market categories supported by directional design artifacts and prototypes
Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement
Leadership & Collaboration: Drive product development with teams of engineers and designers, while maintaining team health
Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones
Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale
Foster a culture of rapid experimentation and learning that becomes a competitive advantage
Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially
Execution & Prioritization: Plan, initiate, and manage information technology projects for web-based products, applications, and platforms
Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale
Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
Technical / Analytical / Design: Use AI-enabled tools to build products—setting the standard for product technical capability
Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier
Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes
lead strategic technical decisions with engineering leadership
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
Evaluate existing design systems and tooling for sufficiency, driving improvements in partnership with specialist designers and tooling teams
Communication: Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.)
Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
Measurement & Impact: Inform experimentation strategy
define and analyze metrics that inform the success of products and produce strategic product narratives supported by rigorous data analysis
Identify and track key performance metrics
Drive decision-making through user insights, quantitative analysis and AB testing
Design sophisticated experiments and interpret results (leveraging AI) and drive strategic product decisions
Define and run evaluations (evals) to interpret model outputs at scale—establishing evaluation as a strategic capability for AI-powered experiences
Assess data infrastructure and tooling for gaps, partnering with specialist teams to drive improvements

Requirements

10+ years of experience working collaboratively with engineering, design and user research teams
Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution
10+ years product management and/or Product Design
Experience presenting to executive audiences
BA/BS in Computer Science or related field
Demonstrated proficiency using AI-enabled tools to build product artifacts at scale
Experience developing and championing AI-native strategies across organizations
Critical thinking and analytical leadership experience

Nice to have

Experience in a consumer focused technology company
Experience building AI driven products from inception, platform/ecosystem products, or marketplaces
Track record of scaling AI best practices across organizations
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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