Sanjana Arun
Product Lead, eBay
San Francisco, California, United States
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Sanjana Arun is a Product Lead at eBay, where she leads AI-powered Search and Advertising systems that determine how visibility, relevance, and monetization are allocated across large-scale marketplaces. Her work focuses on translating machine learning innovations in ranking, retrieval, and personalization into trusted, high-impact experiences for buyers and sellers.
She specializes in designing AI systems as decision engines, where models, data, and feedback loops shape user behavior and marketplace dynamics. Sanjana serves as an Ambassador for Product-Led Alliance leading panels, speaking and writing about AI. She is also an active speaker on Grace Hopper, Women In Tech, ProductWorld, AI Dev Summit among others. Her work has been published on Mind the Product and CMSWire websites.
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OPEN Session: Algorithmic P&L: Who Owns the Roadmap When the Model Makes the Decisions?
AI is quietly rewriting the rules of product ownership.
As models shift from supporting decisions to actively shaping outcomes, the traditional software roadmap begins to break down. Plans become probabilistic. Performance may improve - but accountability becomes harder to define.
When outcomes drift, costs rise, or tradeoffs surface, leadership teams are left asking a new question: who actually owns the result when the model is making the decisions?
This session introduces the concept of Algorithmic P&L - a new way of thinking about ownership in AI-driven products where financial outcomes, user experience, and system behavior are increasingly determined by learning systems rather than deterministic plans.
Drawing on real-world patterns from large-scale AI platforms such as search, ads, and marketplaces, the talk examines how responsibilities across product, engineering, and data science collide - and why legacy ownership models no longer hold.
Rather than focusing on governance frameworks or org charts, this talk surfaces the leadership gap that emerges when models, not humans, effectively own the roadmap. Attendees will leave with a clearer mental model for assigning accountability, making decisions, and leading teams when outcomes are driven by algorithms rather than specifications.
What you'll takeaway from this session -
- Why AI-driven products create ownership and accountability gaps at scale
- How probabilistic systems break traditional roadmap and planning assumptions
- What leadership teams must rethink when models - not plans - shape outcomes
Upskilling in the Age of AI: What Every Product Manager Needs to Learn (and Unlearn)
AI is no longer a feature - it’s fast becoming the foundation of how modern products are built, tested, and scaled. For product managers, that shift demands more than new tools; it requires new ways of thinking. The skills that defined great PMs a decade ago - prioritization, storytelling, experimentation - now need to evolve alongside data literacy, agent collaboration, and model awareness.
In this session, Sanjana Arun, Product Lead at eBay, explores how PMs can future-proof their craft in the age of AI and intelligent agents. Drawing from her experience leading AI-driven Search and Ads products, she’ll share what to double down on, what to let go of, and how to stay relevant as AI reshapes every layer of product work - from discovery to delivery.
Key takeaways to expect from this session:
1) Learn a practical framework to assess your own AI readiness across core PM competencies
2) Discover how to pair traditional product instincts (like prioritization and user empathy) with emerging skills in data fluency and model interpretation
3) Build an actionable roadmap for integrating AI and agent tools into your daily workflow - from ideation to experimentation to launch
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