Cloudinary and the Business Case for Developer-Led Product Growth

Cloudinary and the Business Case for Developer-Led Product Growth

How do you turn a developer-first product into a growth engine without losing trust, clarity, or focus along the way?

In this episode of Tech Talks Daily, I'm joined by Sanjay Sarathy, VP of Developer Experience and Self Service at Cloudinary, for a grounded and thoughtful conversation about product-led growth when developers sit at the center of the story. Sanjay operates at a rare intersection. He leads Cloudinary's high-volume self-service motion while also caring for the developer community that fuels adoption, advocacy, and long-term loyalty. That dual perspective, part business, part builder, shapes everything we discuss.

Our conversation picks up on a theme I have been exploring across recent episodes. When technical work is explained clearly, whether that is security, performance, or reliability, it stops being background noise and starts supporting growth. Sanjay shares how Cloudinary approached this from day one, starting with founders who were developers themselves and carried a deep respect for developer trust into the company's DNA. Documentation that reflects reality, platforms that behave exactly as promised, and support that shows up early rather than as an afterthought all play a part.

What stood out to me was how early Cloudinary invested in technical support, even before many traditional growth motions were in place. That decision shaped a self-service experience that still feels human at scale. With thousands of developer sign-ups every day and millions of developers using the platform, Sanjay explains how trust compounds into referrals, word of mouth, and sustained adoption.

We also dig into developer advocacy and why community is rarely a single thing. Developers gather around frameworks, tools, workflows, and shared problems, and Cloudinary has learned to meet them where they already are rather than forcing them into a single branded space. From React and Next.js users to enterprise advisory boards, feedback loops become part of the product itself.

As AI reshapes how software is built and developer tools become more crowded, Sanjay offers a clear-eyed view on what separates companies that grow steadily from those that burn bright and stall. Profitability, experimentation with intent, and the discipline to double down on what works all feature heavily in his thinking. It is a conversation rooted in experience rather than theory.

If you care about product-led growth, developer trust, or building platforms that scale without losing their soul, this episode offers plenty to think about. As always, I would love to hear your perspective too. How do you see developer communities shaping the next phase of product growth, and where do you think companies still get it wrong?

Useful Links

Thanks to our sponsors, Alcor, for supporting the show.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(2000)

Building Responsible AI for Public Services With AWS

Building Responsible AI for Public Services With AWS

How can governments and public-service organizations adopt AI quickly while protecting the people affected by their decisions? In this episode of Tech Talks Daily, I speak with Holly Ellis, AWS Direct...

1 Sep 22min

Making Industrial AI Deliver Real Operational Value With IFS

Making Industrial AI Deliver Real Operational Value With IFS

What happens when an AI system moves beyond generating answers and begins influencing machinery, maintenance schedules, technician dispatch, and safety? In this episode of Tech Talks Daily, I speak wi...

1 Sep 28min

Building AI Data Readiness With Kiteworks

Building AI Data Readiness With Kiteworks

Could your organization produce a complete record of everything its AI systems accessed, sent, or shared within one business day? In this episode of Tech Talks Daily, I welcome Tim Freestone, Chief St...

31 Aug 22min

Testing the Blast Radius of Agentic AI With NTT DATA

Testing the Blast Radius of Agentic AI With NTT DATA

What happens when an AI agent follows your documented process perfectly, but that process bears little resemblance to how decisions are actually made? In this episode, I speak with Bill Wilson, Execut...

30 Aug 29min

Building Legal Accountability for AI Agents With Norm AI

Building Legal Accountability for AI Agents With Norm AI

Who carries responsibility when an AI agent begins reviewing contracts, applying regulatory rules or making commercial decisions on behalf of an organization? In this episode of Tech Talks Daily, I sp...

29 Aug 25min

Moving Enterprise AI From Hype to Accountable Results With Freshworks

Moving Enterprise AI From Hype to Accountable Results With Freshworks

Has enterprise AI finally reached the point where impressive demonstrations are no longer enough? In this episode, I speak with Murali Swaminathan, CTO at Freshworks, about the growing pressure on AI ...

28 Aug 22min

Building Infrastructure That Can Govern AI Agents With Broadcom

Building Infrastructure That Can Govern AI Agents With Broadcom

What happens when an organization writes careful AI governance policies but its infrastructure cannot enforce any of them? In this episode of Tech Talks Daily, I speak with Sabina Anja, Chief Technolo...

27 Aug 25min

Turning Rising AI Cloud Costs Into Business Value With Unravel Data

Turning Rising AI Cloud Costs Into Business Value With Unravel Data

What does a rising cloud bill actually tell you about the value your business is creating? Eight years after our first conversation, I welcome Kunal, co-founder and CEO of Unravel Data, back to Tech T...

27 Aug 27min

Populärt inom Politik & nyheter

aftonbladet-krim
svenska-fall
p3-krim
rss-krimstad
en-runda-till
aftonbladet-daily
flashback-forever
politiken
rss-sanning-konsekvens
rss-vad-fan-hande
kungligt
rss-krimreportrarna
motiv
svd-ledarredaktionen
rss-frandfors-horna
rss-flodet
fordomspodden
spar
rss-expressen-dok
krimmagasinet