Member of Product Staff

About the role

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• Member of Product Staff
• Member of Product Staff
• Menlo Park, CA +2 locations
• Product Strategy
• + 1 more

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.

Member of Product Staff Responsibilities

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.

Minimum Qualifications

• 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

Preferred Qualifications

• 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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