Member of Product Staff

Meta•New York, NY

2d•$146,000 - $204,000

About The Position

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.

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 Haves

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

Responsibilities

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.
Adapting and adjusting strategy to reflect learnings and changes in the product.
Critically evaluating when AI is (and isn't) the right solution for user problems, with clear articulation of tradeoffs and risks.
Maintaining consistent UX quality by knowing when tool-generated output is sufficient vs. when specialist designer input is needed for production-quality craft.
Producing strategic product visions that define market categories supported by directional design artifacts and prototypes.
Developing AI-native strategies including evals strategy and data strategy that enable iteration and measurable quality improvements.
Leveraging AI for identifying opportunities through deep market research, user feedback synthesis, and competitive analysis.
Working 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.
Reimagining workflows, responsibly using AI tools to increase personal and team velocity (e.g., faster synthesis, clearer decision docs, tighter iteration loops).
Fostering a culture of rapid experimentation and learning, especially around AI-powered product development.
Scaling AI best practices (including responsible AI use) and proficiency across product teams to multiply impact.
Coordinating proactively across partner functions for product success.
Structuring shared roadmaps for best outcomes.
Orchestrating complex execution across multiple workstreams by combining AI automation with appropriate human oversight.
Communicating product strategy and progress with clarity to all stakeholders.
Interpreting research and state-of-the-art learnings to design product strategy and apply logical reasoning.
Understanding system/architecture trade-offs and how they impact user experience and business priorities and engaging credibly with engineering partners on constraints and decisions.
Designing experiments and interpreting results (leveraging AI to accelerate analysis) and turning insights into concrete decisions.
Partnering with Data Science on complex experiment design and setup.
Defining and running 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.
Creating interactive prototypes using modern tools sufficient for user testing and engineering specs.
Rapidly generating multiple design explorations during planning and roadmap sessions.