Member of Product Staff, Ads

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
Responsible for 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.
* Adapt and adjust your strategy to reflect learnings and changes in the product.
* Critically evaluate when AI is (and isn't) the right solution for user problems, with clear articulation of tradeoffs and risks.
* Maintain consistent UX quality by knowing when tool-generated output is sufficient vs.
* when specialist designer input is needed for production-quality craft.
* Produce strategic product visions that define market categories supported by directional design artifacts and prototypes.
* Develop AI-native strategies including evals strategy and data strategy that enable iteration and measurable quality improvements.
* Leverage AI for identifying opportunities through deep market research, user feedback synthesis, and competitive analysis.
* Work 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.
* Reimagine workflows, responsibly using AI tools to increase personal and team velocity (e.g., faster synthesis, clearer decision docs, tighter iteration loops).
* Foster a culture of rapid experimentation and learning, especially around AI-powered product development.
* Scale AI best practices (including responsible AI use) and proficiency across product teams to multiply impact.
* Coordinate proactively across partner functions for product success.
* Structure shared roadmaps for best outcomes.
* Orchestrate complex execution across multiple workstreams by combining AI automation with appropriate human oversight.
* Communicate product strategy and progress with clarity to all stakeholders.
* Interpret research and state-of-the-art learnings to design product strategy and apply logical reasoning.
* Understand system/architecture trade-offs and how they impact user experience and business priorities and engage credibly with engineering partners on constraints and decisions.
* Design experiments and interpret results (leveraging AI to accelerate analysis) and turn insights into concrete decisions.
* Partner with Data Science on complex experiment design and setup.
* Define and run 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.
* Create interactive prototypes using modern tools sufficient for user testing and engineering specs.
* Rapidly generate multiple design explorations during planning and roadmap sessions.

Qualifications
5+ years of relevant industry experience with at least 2 years in Product Management
* Experience with revenue measurement, experimentation at scale, user modelling
* Understanding of auction dynamics, advertiser demand signals, ranking and delivery mechanisms, and revenue/engagement trade-offs
* 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