Member of Product Staff

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.

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.

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 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

Compensation: $173,000/year to $241,000/year + bonus + equity + benefits