Chief in Tech Deep Dive Shortcast
Chief in Tech Deep Dive Shortcast

Chief in Tech S1E51 - Palak Kamdar, Sowmya Sundararagavan, Oqeania Pepellashi & Ajda Gruden : Co-Pilot or Cautionary Tale? Navigating AI in Product Strategy

28 July 2026 18:51 Executive Women in Tech (EWIT)

Listen to episode

About this episode

AI is transforming product management at an unprecedented pace—but how can organizations embrace its potential without losing the human judgment that drives great products?

In this Chief in Tech Deep Dive panel, Palak Kamdar, Sowmya Sundararagavan, Oqeania Pepellashi, and Ajda Gruden explore how AI is reshaping product strategy, from ideation and development to customer experience and business growth. They discuss the opportunities AI creates for product teams while addressing the challenges of governance, ethics, data privacy, and sustainable adoption.

The conversation highlights why the future of product leadership isn't about replacing people with AI, but about building strong human-AI collaboration that combines technology with creativity, empathy, and strategic thinking.

If you're building AI-powered products or leading product teams through digital transformation, this conversation is for you.

Key Takeaways

  • How AI accelerates product innovation and business outcomes
  • Balancing AI adoption with governance, ethics, and trust
  • Building effective human-AI collaboration across product teams
  • Creating sustainable AI strategies that strengthen long-term business value

🎧 Tune in to discover how product leaders can harness AI responsibly while keeping people at the center of innovation.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Chief in Tech Deep Dive Shortcast. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.