Sr. Product Manager, Central Data
YahooAbout the role
A Little About Us
At Yahoo, we operate thousands of services at global scale, reaching hundreds of millions of people around the world. Our internal developer platform powers these services and lets our developers build rapidly, securely, and with high quality. We are shifting from traditional infrastructure to an AI-augmented ecosystem where speed and reliability are driven by intelligent automation.
A Lot About You
We are looking for a technically-sophisticated Sr. Product Manager (IC4) who views platforms as a lever for company-wide velocity. You have a deep commitment to developer experience and a track record of translating complex data pipeline challenges and evolving platform needs into elegant, scalable solutions. You don't just follow a roadmap; you proactively identify how emerging technologies—specifically AI—can be used to reduce cognitive load for thousands of engineers.
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.
Basic Qualifications
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)
Preferred Qualifications
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 i
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