Product Manager, Central Products
Join a central growth team responsible for top-of-funnel experiences across major social apps, serving over a billion users monthly. As a Product Manager, you will own end-to-end strategy for one of five connected systems—SEO, performance marketing technology, user routing, mobile web, or logged-out experience—driving measurable growth through AI-native product development and cross-functional leadership.
Responsibilities
- Identify significant near- and long-term opportunities, driving product mission, strategies, and roadmaps aligned with broader organizational goals.
- Generate buy-in and drive consensus across organizations, bringing clarity to ambiguous opportunities and executing with limited oversight.
- Critically evaluate when AI is the optimal solution, setting standards for rigorous tradeoff analysis at the portfolio level.
- Translate AI capabilities into compelling product visions that define market categories.
- Champion AI-native strategies, including comprehensive evaluations and data strategies for continuous improvement.
- Drive product development with engineering and design teams, maintaining team health and coordinating cross-functional resources.
- Reimagine workflows using AI tools to transform team velocity and capability at organizational scale.
- Foster a culture of rapid experimentation and learning as a competitive advantage.
- Scale AI best practices, workflows, and artifacts across the organization.
- Plan and manage information technology projects for web-based products and platforms.
- Orchestrate complex execution across multiple organizations, combining AI automation with strategic human oversight.
- Maximize efficiency in a fluid environment where creative solutions are the norm.
- Use AI-enabled tools to build products, setting the standard for PM technical capability.
- Interpret research and state-of-the-art learnings to design product strategy with rigorous logical reasoning.
- Demonstrate expert understanding of system/architecture trade-offs and their impact on user experience and business outcomes.
- Lead strategic technical decisions with engineering leadership.
- Integrate data, usability studies, research, and market analysis into product strategies to enhance user satisfaction and engineer productivity.
- Express complex technical concepts at the right altitude for various audiences.
- Understand the company's strategic and competitive position, delivering products recognized as best in the industry.
- Define and analyze metrics to inform product success, driving decisions through user insights, quantitative analysis, and A/B testing.
- Design sophisticated experiments and interpret results using AI to drive strategic product decisions.
- Define and run evaluations to interpret model outputs at scale, establishing evaluation as a strategic capability.
Requirements
- Demonstrated proficiency using AI-enabled tools to build product artifacts at scale.
- 10+ years of experience working collaboratively with engineering, design, and user research teams.
- 10+ years of product management and/or product design experience.
- Experience developing and championing AI-native strategies across organizations.
- Critical thinking and analytical leadership experience.
- Experience navigating the full product lifecycle, integrating customer feedback, driving prioritization, and managing pre- and post-launch execution.
- Experience presenting to executive audiences.
Nice to have
- Experience building or scaling measurement systems, particularly in ads measurement, attribution, or SEO/search optimization.
- Experience building 0-to-1 products or platform/ecosystem products at significant scale.
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
- Experience operating in a consumer-focused technology company with broad user bases and high-velocity product cycles.
- Experience coaching or developing other product managers and cross-functional partners on product strategy, prioritization, and stakeholder communication.
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).