< Speaker / Facilitator >
Ravi Mehta
Reforge, Tinder, Facebook, TripAdvisor, Microsoft
Connect in LinkedIn
Ravi is a senior product executive with experience leading product organizations for globally recognized brands like Tripadvisor, Facebook, and Tinder. Over his career, Ravi has scaled well-known products that have impacted millions of people and scaled teams to meet the challenge. Ravi is a well respected thought leader and his frameworks on product strategy & product leadership have been adopted by thousands of professionals across the industry. He is the co-creator of Reforge's AI Strategy and Product Leadership programs. Currently, he is a full-time product strategy advisor and investor, working with some of the most well-known consumer brands and fast-growing startups. Previously, he was Chief Product Officer @ Tinder, Product Director @ Facebook, VP of Consumer Product at TripAdvisor, and Executive-in-Residence @ Reforge.
< About >
The past two years have been a whirlwind. The product lifecycle has changed in fundamental ways, and customer expectations have reshaped around capabilities that felt impossible just a few years ago. This is the new normal, and leading through it requires new thinking. The day is built around four working sessions, each tackling a question every product leader has to answer right now, sequenced so each one sets up the next: 1. How customer expectations have changed: what customers actually want in this new era. 2. Evaluating their current position: where they're strong, and where they're exposed. 3. Building products competitors can't match: the unique assets only they can turn into a winning product. 4. Building an AI-native team: the org that ships that strategy day in and day out. Participants leave with four practical takeaways: - A clear understanding of what their customers want - A candid read on their strategic position - A strategy for an AI-powered product only their company can ship - A 90-day plan for leveling up their AI-native team
Best for
Heads of Product, VP/Directors, and CPOs leading product organizations
Product leaders who transitioned into people management roles this year
Senior ICs who previously held people management positions
< About >
Everyone has access to the same AI models. So how do you build AI products that stand out?
The answer isn't having the most advanced AI — it's combining AI with what's uniquely yours. The most successful AI products avoid both extremes: "sprinkling AI fairy dust" on existing features and reinventing the wheel with custom models. Instead, they take a building-block approach — assembling widely available AI capabilities with proprietary data and product functionality to create features competitors simply cannot replicate.
Ravi starts with why AI is accelerating incumbents rather than disrupting them, creating the most competitive environment in tech history. He then introduces a framework for turning existing assets into defensible AI features and agents, with real examples from Miro, Descript, and Granola. The session closes with attendees applying the framework to their own products.
< Key learnings >
Why this platform shift is different — AI is accelerating incumbents, not disrupting them. The Blue Ocean playbook from previous waves doesn't apply.
A framework for defensible AI features — How to assemble AI capabilities, your data, and your product functionality through four interaction types: context, output, orchestration, and tool use.
Your unfair advantage isn't the model — It's your proprietary data, specialized workflows, and understanding of unmet customer needs.
Start with problems, not capabilities — How to work backwards from customer needs to avoid building solutions in search of problems.
Amplify vs. Automate — Where your product sits on this spectrum shapes your entire AI strategy.
< About >
As we get more senior, many of us hear the same feedback: "You need to be more strategic." But what does that actually mean?
Strategy is ultimately about taking what you know about the world and predicting the future. In this discussion, we'll unpack what strong strategic thinking looks like and how to apply it to real decisions. The session will start with a guided conversation for the first 20-30 minutes, then evolve into an open discussion.
< Key learnings >
The core elements of strong strategic thinking
How to apply strategic thinking to real product decisions
Why strategic thinking might be the biggest unlock in your career
Practical frameworks for moving from tactical to strategic
< Get Speaker's vibes >
Speaker's welcome
< Tickets >
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