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Description
Work 1:1 with an expert to develop the strategic thinking and frameworks to define and drive AI product direction, for your team, your product line, or your company. Possible uses of coaching sessions, but not limited to: - Identifying where AI creates the most strategic value in your product - Building an AI product investment thesis and roadmap - Competitive analysis and AI product market positioning - Communicating AI product strategy to leadership, investors, and the board - Building alignment across engineering, design, and business stakeholders - Evolving your AI product strategy as technology and market conditions change
What you'll get from this package
A clear AI product strategy tailored to your company's competitive context
Stronger skills to identify and prioritize the highest-value AI opportunities
The ability to communicate and build alignment around AI product direction
A framework for evolving your AI strategy as the technology continues to advance
Additional details
Coaching delivered via live sessions and .
Services included:
Scoping & Requirements
Feature Prioritization
AI Product Design
AI Roadmap Development
Product Strategy
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
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Offered by Jesse L.
Joined June 2021
5.0
Learn how to best use AI for Product Development | AI for PMs
I'm a PM on the new products team at GoFundMe, where I've shipped AI-powered features end-to-end: a multi-step generation pipeline for user-facing content, prompt systems tested against real user inputs, and an eval system that holds quality steady in production. I work in the actual mechanics of building with AI: scoping what an agent should do, structuring the pipeline, testing it against real inputs. And I know how this works inside a real org, where shipping AI means coordinating handoffs across Product, Design, and Eng. That's where most enterprise AI efforts stall. What sets me apart is that I build outside of work too. I've shipped several AI products solo with agentic coding tools: a fitness app, an AI image generator, a personal CRM, etc. I run a tight loop with AI at every step: write the spec, break it into tasks, execute with coding agents, then capture what worked and what broke in a file the agent reads next time. Each loop ships faster than the last. When I coach, I'm teaching the loop I run myself.
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