Sreeja
Nair
Director, Product Management at Qualcomm
"Beyond the Algorithms : What AI teaches me about Product and Organizational Leadership"
"Beyond the Algorithms : What AI teaches me about Product and Organizational Leadership"
Tue May 12 - 4:00 PM EDT/New York (See in local time)
Add to Calendar
05/12/2026 4:00 PM
05/12/2026 04:20 PM
America/New_York
#WTGC2026
"Beyond the Algorithms : What AI teaches me about Product and Organizational Leadership"
#WTGC2026
"Beyond the Algorithms : What AI teaches me about Product and Organizational Leadership"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Beyond the Algorithms : What AI teaches me about Product and Organizational Leadership"
"Beyond the Algorithms : What AI teaches me about Product and Organizational Leadership"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Beyond the Algorithms : What AI teaches me about Product and Organizational Leadership
AI has changed the nature of leadership, without changing its fundamentals. While AI can accelerate analysis and execution, it cannot define the right problem, make meaningful tradeoffs, or take accountability when constraints appear. Those responsibilities still sit squarely with leaders.Using concrete examples from building and scaling products, the session connects AI and product fundamentals such as overfitting, ensemble learning, problem framing, evaluation, user empathy, and systems thinking to modern leadership challenges. It shows how the same principles that drive product adoption and long term value also shape better decision making, stronger teams, and sustained trust.
Attendees will leave with practical ways to use AI fundamentals for their organizational, product and career decision making along with clearer mental models for leading through uncertainty, ambiguity, and scale. In an AI augmented world, the hardest decisions remain human, and effective leadership still depends on clarity, judgment, and ownership.
Key Takeaways
- In machine learning, the best models are not the ones that fit perfectly. They are the ones that generalize. In products, the best systems are not the ones that do everything. They are the ones that remain coherent as everything changes.
- Early-stage teams must accept variance as the price of discovery. Mature teams must accept bias as the price of reliability. Teams that try to eliminate both often eliminate ambition instead. The companies that endure are not those that eliminate error
- Leaders and Product managers do not just choose to design interfaces. They design behavior. And behavior, repeated at scale, becomes culture.
Bio
Sreeja Nair is a Director of Product Management in the Wireless Infrastructure and Networking Business Unit at Qualcomm Inc. She manages the P&L for the World Wide Enterprise segment and is responsible for defining the product roadmap, go to market strategy and customer engagements. In her role, she interacts with Wireless Enterprise Providers to align their connectivity needs with Qualcomm’s prolific wireless portfolio. She is excited to play her part in defining the features and use cases for the next generation of connectivity solutions which are laying the foundations for enterprises, IOT and Smart Homes.She has a Masters’ Degree in Electrical Engineering from Virginia Tech and has 2 patents in the fields of Wireless and Display technologies. She is a 2020 YWCA Silicon Valley Tribute to Women Honoree, an award honoring exceptional women leaders’ in Silicon Valley. In 2019, Sreeja was recognized as Qualcomm’s Global D&I Champion for her leadership in championing D&I at Qualcomm and in the community. She has been a speaker, panelist and emcee at the Watermark Conference, IEEE WIE Lead, Women in Silicon Valley Conference, Products by Women events among many others prestigious events. She is extremely passionate about mentoring new college graduates and building a pipeline of girls for the STEM field. She actively works for the cause by volunteering on various boards and events including NCWIT Bay Area. In her spare time, she volunteers for NGOs working in the education sector. In her spare time, she loves writing and talking about how lessons from products and AI influence her product, organization and career decision making.
