Episode Details

After more than 20 years in large organizations, Rohit Nambiar decided that if he really wanted to understand AI, he needed to get his hands dirty.

That took him from studying AI at MIT and advising startups to building one himself. Today, he’s CEO and co-founder of Sabai, an AI-powered health companion, where the move from corporate leadership to startup life has put him much closer to the day-to-day work of building, testing and growing a product.

Rohit joins Marco and Jonas to talk about what that experience has taught him about product and execution, including why the day-to-day discipline behind good execution can be surprisingly boring. They also get into building a remote team, deciding when to keep going and when to cut, and where Rohit thinks human judgment still matters as more of the work gets done with AI.

Rohit breaks down:

→ Why the feature a product team spends the most time on may not be the one users actually value
→ What he looks at when deciding whether to keep iterating or cut
→ How product usage changes across markets, languages, and urban versus rural users
→ What he’s learned from building a fully remote team across several countries
→ Why he thinks execution matters more than strategy
→ Why he focuses on lead indicators like usage, retention, and acquisition
→ How Sabai approaches guardrails for AI in healthcare
→ Why he asks his team to share their AI prompts, not just the finished output

Follow Rohit Nambiar:
LinkedIn: Rohit Nambiar
Website: SabaiHealth
Book: The Simplicity Trap

Get in touch with This Feature Will Save Us Podcast
LinkedIn: https://www.linkedin.com/showcase/this-feature-will-save-us
Website: https://thisfeaturewillsaveus.com/

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1:45 - Why healthcare and insurance struggle with trust and complexity
6:05 - Where Rohit looks for talent and why his startup is fully remote
8:15 - Building culture and accountability across a remote team
11:30 - Leaving corporate life, learning AI and becoming a startup founder
13:10 - Building Sabai’s MVP and the problems that showed up after launch
14:00 - Growing from 3,000 to 35,000 users and what Sabai is building
17:15 - Product bets that worked, failed and surprised Rohit
19:45 - Why Sabai’s medication reminder became an unexpected hit
22:10 - Using data to decide whether to iterate, persevere or cut
24:50 - When a product is too early versus solving a problem that doesn’t exist
26:00 - Building guardrails for AI in healthcare
29:30 - Why culture comes before frameworks when building quickly
32:00 - Why execution beats a brilliant strategy
33:55 - The lead KPIs Rohit uses to manage the business
36:45 - Why human judgment becomes more important as AI gets better
37:55 - Why Rohit asks his team to share their AI prompt