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.

Responsibilities

Vision & Strategy:
• Be responsible for leading and driving a complex product area; defining success, prioritizing problems and identifying the best strategies, 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.
• Critically evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects.
• Produce strategic product visions that define market categories supported by directional design artifacts and prototypes.
• Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement.
• Leadership & Collaboration:
• 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 strategies across teams in adjacent product areas.
• Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability.
• Foster a culture of rapid experimentation and learning across the organization.
• Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability compounds over time.
• Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices.
• Execution & Prioritization:
• Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals.
• Orchestrate complex execution across multiple workstreams by combining AI automation with strategic human oversight-using AI to reduce toil while maintaining high quality and accountability.
• Communicate product strategy and progress with radical clarity to all stakeholders.
• Technical / Design:
• Use AI-enabled tools to directly contribute to building products.
• Rapidly explore multiple UX directions using available tools to inform strategy.
• Deliver final designs for low-risk projects and partner with specialist designers to achieve production-quality design for high-stakes or novel experiences.
• Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning.
• Demonstrate deep understanding of system/architecture trade-offs and how they impact user experience and business outcomes; lead credible technical discussions with engineering partners.
• Analytical / Measurement & Impact:
• Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
• Define the measurement strategy and experimentation roadmap for your area, partner with data science teams for analytical rigor on complex analyses, experiment design, and validation of tool-generated outputs to drive high-quality, data-informed decisions.
• Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions.
• Diagnose metric movements and surface actionable insights using modern analytical tools, including AI-powered contribution analysis and automated diagnostics.
• Define and run evaluations to interpret model outputs and adjust execution based on learnings-establishing evaluation as a first-class product practice across teams.

Minimum 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
• Demonstrated proficiency using AI-enabled tools to build product artifacts
• Experience developing and scaling AI-native strategies including evals and data strategies across teams
• 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 and technical messages across all audience levels
• Experience identifying and hiring the right talent to build an AI-capable cross-functional team

Preferred Qualifications
• 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