21: Breaking into AI Product Management (with Sneha Rajendran)

AI Product Leader

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THE GUEST

Sneha Rajendran is a dynamic product manager with over a decade of experience in B2B and B2B2C SaaS. With a passion for leveraging AI and Generative AI to drive customer value, Sneha made a significant impact at Cisco by leading AI-powered innovations for Webex Calling, including noise removal and NLP features that enhanced user experience and accessibility. Now, she’s building AI-powered edtech products, following her impressive work at companies like LiveRamp and Oracle.

THE SUMMARY

Mastering AI Product Management:

Transitioning from software engineering to AI product management involves focusing on customer needs, balancing technical and business aspects, and leveraging domain expertise to decide what to build and how to build it.

The Unique Challenges of AI:

Successful AI product management requires identifying the right use cases that add real value without increasing friction, ensuring scalability, and balancing cost-benefit considerations for long-term impact.

Generative AI in Early Childhood Education:

Generative AI can transform education by personalizing content to engage young learners. Customizing activity sheets and creating interactive agents tailored to a child's interests can enhance engagement and learning outcomes.

Getting Started in AI:

Diving into AI is more accessible than ever. Tools like OpenAI Playground and integrated AI features in everyday applications make it easier to explore, experiment, and build. Observing how these tools improve workflows sparks innovative ideas for AI-driven solutions.
THE SHOW

Weekly conversations with the AI’s top product leaders. Join Polly Allen as she discovers the paths to success in the world of AI.
THE LINKS

Have a question you want us to answer? Send it through to [email protected]
Sneha Rajendran

LinkedIn: https://www.linkedin.com/in/sneharajendran/
My links

LinkedIn: ⁠https://www.linkedin.com/in/pollymallen/⁠

AI Career Boost: ⁠https://www.aicareerboost.com/⁠

38 Episoden

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