The L&A Hub
The L&A Hub

Ryan Hinchey - Made by Distribution, for Distribution

05 June 2026 51:17 Zinnia

Listen to episode

About this episode

Ryan Hinchey has one of the more unique résumés in the annuity business: actuary, Amsterdam expat, Silicon Valley insurtech veteran, and now SVP of Product Innovation at AmeriLife — one of the country's largest distributors of annuity, life, and health products. That arc turns out to be exactly the right background for what he's doing now.

In this episode, Ryan walks through the three models AmeriLife uses to partner with carriers on product development — exclusive, leverage, and proprietary — and why the best ideas increasingly come from the IMO level, not the home office. He explains how he stress-tests product concepts before a single line of pricing work gets done, using a "product blueprint" that forces a clear value proposition early. He also talks candidly about the lessons from his time at Health IQ: get the reinsurer on board first, go after mid-tier carriers before the big names, and be willing to put skin in the game.

On AI, Ryan is doing something genuinely interesting: using it to extract selling stories from wholesaler YouTube videos — structured intelligence on how real people pitch real products. Listeners come away with a sharper sense of what it actually takes to build an annuity product that distribution will move.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The L&A Hub. 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.