Sr. Product Manager, Central Data

Yahoo is a leading technology company that connects brands and partners with an extensive audience. They are seeking a technically-sophisticated Sr. Product Manager to lead product strategy within the Central Data pillar, focusing on AI-driven efficiencies and innovative platform solutions.

Responsibilities:

• Lead key workstreams and product strategy within the Central Data pillar, focusing on the effective use of AWS and GCP native services, ensuring alignment with Yahoo’s broader engineering goals
• Identify and implement AI-driven efficiencies in day-to-day work, replacing manual feedback analysis and documentation tasks with AI-assisted workflows
• Deliver innovative platform solutions that reduce cognitive load, optimize costs, and improve the reliability of engineering systems at scale
• Drive platform initiatives focused on data governance, quality, and reliability to ensure high-fidelity, compliant data is available across all downstream consumption
• Utilize generative AI tools to synthesize insights from customer feedback (surveys, interviews, analytics) to accelerate the definition of Minimum Viable Products (MVPs)
• Serve as a subject matter expert and thought leader, evangelizing the platform's value and future roadmap to stakeholders
• Define and execute an AI-first product roadmap, ensuring models and autonomous agents are integrated to optimize platform performance and self-healing capabilities
• Collaborate with engineering, finance, and procurement to balance trade-offs between cost, technical feasibility, and speed to market
• Exercise judgment in when to rely on AI-augmented oversight versus manual validation for critical system changes
• Execute on internal go-to-market strategies to drive adoption and close the loop with our developer community

Requirements:

• B.S./M.S. in Computer Science, Engineering, Statistics, or equivalent technical experience (Requirement for candidate background check)
• 4+ years of experience in product management, specifically within data management, cloud infrastructure, developer tools, or distributed systems
• 7+ years of total industry experience in software services
• Proven ability to use AI productivity tools (e.g., Gemini, ChatGPT, Claude or GitHub Copilot) to accelerate product discovery, documentation, and technical analysis
• Demonstrated technical depth in cloud services (AWS/GCP), Data services, and modern architectural patterns
• Excellent written and verbal communication skills, with the ability to disambiguate complex problems for diverse audiences
• Experience with large-scale distributed systems, big data technologies (Hadoop, Spark, or equivalent), and cloud platforms (AWS or GCP)
• Experience with prompt engineering or structured interaction with AI models to assist in data analysis or system diagnostics
• Deep understanding of Machine Learning (ML) platforms and Big Data ecosystems (e.g., Hadoop, Spark)
• Interest in staying current on emerging AI tools and proactively suggesting improvements to internal platform workflows
• Demonstrate deep technical understanding of cloud services and architectural patterns