Try for free
Event PAST

LLM Decisions That Define Product Leaders, with Amazon AGI

27 February Online

Join this event

🎟️ Register / View Event Details

About this event

Kindly note:

Where should LLMs take the wheel, and where should humans stay accountable?

LLM adoption is accelerating, and the competitive advantage is in the quality of the decisions leaders make about delegation, trust, and responsibility. The real product skill now is in designing for change, because capabilities and expectations will keep rising, and the rules that govern these systems will keep shifting.

On February 26, 6:00 pm PST, join us for a fireside chat with Amazon Artificial General Intelligence VP Vishal Sharma and Reddit Director of Product Management Amit Ghorawat, as they explore:

  • A decision lens for where LLMs create durable leverage, and where they should be avoided
  • A leadership approach to model providers as a long-term dependency, without betting your roadmap on a single point of failure
  • How product leaders can build meaningful careers by choosing the right problems and taking risks they can stand behind

Products That Count, in partnership with Auth0, invites San Francisco's top product builders for a fun evening of insight, connection, and curated refreshments.

Registration is required to join. Seats are intentionally limited for a candid and collaborative atmosphere.

*A note on our refundable tickets: This event is completely free, and there's a product story to our deposit... It's modeled after behavioral economics and ensures 90%+ participation. The deposit is fully refunded the morning after the event as long as you attend (the behavioral economics part). We've rolled this out across our 200+ invite-only exec-level events and received an average Net Promoter Score of 80+.

This event is free, thanks to the patronage of our generous partners. We are grateful for their support! Products That Count shares limited contact information with them.

Exact location to be shared with confirmed attendees.

All guests are required to RSVP.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. 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.

Still have questions?

Contact Support