Inside Gong: How teams work with design partners, their pod structure, autonomy, trust, and more

Inside Gong: How teams work with design partners, their pod structure, autonomy, trust, and more

Lenny's PodcastJan 2, 202556m

Lenny Rachitsky (host), Eilon Reshef (guest)

Gong’s cross-functional pod model and how pods are structuredWorking deeply with design partners to validate and shape productsAutonomy, trust, and decision-making speed in product developmentBuilding and operating AI/ML products beyond just calling LLMsThe “spiral method” for rapidly learning complex new domainsFinding and exploiting a narrow initial ICP to achieve product–market fitLessons from past failures and scaling mistakes in previous startups

In this episode of Lenny's Podcast, featuring Lenny Rachitsky and Eilon Reshef, Inside Gong: How teams work with design partners, their pod structure, autonomy, trust, and more explores inside Gong’s pod model: design partners, autonomy, and AI mastery The episode features Gong co-founder and CPO Alon Reshef explaining how Gong builds B2B SaaS products with unusually high hit rates by combining autonomous pods with intensive design-partner collaboration. Each pod is a fully cross‑functional, outcome‑oriented team that works directly with 6–24 customers from idea through launch, dramatically reducing the risk of unused features. Reshef describes his philosophy of extreme autonomy and fast decision‑making, his approach to learning complex domains quickly (“spiral method”), and lessons from nearly a decade of building AI-powered products. The conversation also covers Gong’s hyper‑focused early ICP, why generic AI isn’t enough, and how organizational trust underpins all of this.

Inside Gong’s pod model: design partners, autonomy, and AI mastery

The episode features Gong co-founder and CPO Alon Reshef explaining how Gong builds B2B SaaS products with unusually high hit rates by combining autonomous pods with intensive design-partner collaboration. Each pod is a fully cross‑functional, outcome‑oriented team that works directly with 6–24 customers from idea through launch, dramatically reducing the risk of unused features. Reshef describes his philosophy of extreme autonomy and fast decision‑making, his approach to learning complex domains quickly (“spiral method”), and lessons from nearly a decade of building AI-powered products. The conversation also covers Gong’s hyper‑focused early ICP, why generic AI isn’t enough, and how organizational trust underpins all of this.

Key Takeaways

Structure product teams as autonomous, cross-functional pods tied to clear jobs-to-be-done.

Each Gong pod includes a PM, designer, engineering lead, 5–7 engineers, and fractional analysts/writers, and owns a defined problem space (e. ...

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Use many design partners per pod to massively de-risk what you build.

Pods work closely with 6–24 existing customers in the target ICP, meeting regularly, demoing partial builds, and iterating based on real workflows. ...

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Centralize customer-recruitment logistics so PMs can focus on learning and building.

Gong created a “research coordinator” role and a micro‑CRM to source, segment, and schedule design partners for all pods. ...

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Deliberately optimize for autonomy and speed, even for big decisions.

Teams are expected to decide when to ship, when to ask for help, and which customer requests to act on, and leadership deliberately accepts lower visibility in exchange for higher velocity and engagement. ...

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Don’t over-index on generic LLMs; retain core AI/ML expertise and measurement.

Gong combines LLMs with bespoke models (e. ...

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Learn new, complex domains via a structured “spiral” of expert conversations.

Reshef’s spiral method starts with one knowledgeable person, ends each conversation by asking who else to talk to, and keeps looping until new conversations add almost no new information. ...

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Start with an extremely narrow ICP to ignite word-of-mouth and focus execution.

Gong’s initial target was tightly constrained (US-based, English, WebEx, B2B software, specific deal sizes), yielding only ~5,000 companies. ...

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Notable Quotes

I would say very close to 100% of the features we build end up being used by a significant number of people.

Alon Reshef

We just took the pod concept to an extreme, where every pod is working with sometimes a dozen design partners, sometimes two dozen design partners.

Alon Reshef

I just think you get more from everybody if you kind of let them be themselves and do things in the way that they believe is the right way.

Alon Reshef

A very senior product manager asked me, ‘Why do you even do this? We launch products and then we see if people like them.’ And I’m like, ‘I don’t think that’s a great idea.’

Alon Reshef

Never attribute to malice that which is adequately explained by stupidity.

Alon Reshef (quoting Hanlon’s razor)

Questions Answered in This Episode

How would Gong’s pod and design-partner model need to change in a non-B2B or non-SaaS environment, such as consumer apps or regulated industries?

The episode features Gong co-founder and CPO Alon Reshef explaining how Gong builds B2B SaaS products with unusually high hit rates by combining autonomous pods with intensive design-partner collaboration. ...

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What early warning signs does Alon look for that a pod is using autonomy poorly and needs more guidance or constraint?

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How does Gong decide which design-partner requests become broadly applicable features versus one-off enterprise customizations?

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Where has Gong’s reliance on AI and LLMs *not* worked well, and how did they detect and correct those missteps?

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If you were starting a brand-new product today, what would your first 30 days of ‘spiral learning’ look like in practice?

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Transcript Preview

Lenny Rachitsky

I want to start with talking about your pod model, which is a really unique way of building and organizing your product teams.

Eilon Reshef

That was probably 2016. We're trying to figure out how does the operating model look like for our product and engineering. The first bunch of people we had was essentially a pod. It was one product manager, a user experience designer, backend engineers, couple of frontend engineers. But at some stage, we're starting to scale. We are kind of contemplating, do we go like traditional, the old school of frontend engineers, backend engineers? And then we said, "Let's try to replicate what we have."

Lenny Rachitsky

Let's talk about how these pods work with design partners. From what I've heard, it's very unlike how any other company works.

Eilon Reshef

We just took the pod concept to an extreme where every pod is working with sometimes a dozen design partners, sometimes two dozen design partners.

Lenny Rachitsky

This feels like a cheat code of how to build new product lines. What are the, like the percentage of success rate you have with new products?

Eilon Reshef

I would say very close to 100% of the features we build end up being used by a significant number of people.

Lenny Rachitsky

Does it feel crazy for companies not to operate this way?

Eilon Reshef

I, I wouldn't go back. I, I hate terms such as risks. That's a very ambiguous term, but just the risk of building something you're not going to know if it's gonna get used.

Lenny Rachitsky

So when I asked people at Gong what to ask you, the most often term that came up was autonomy and trust.

Eilon Reshef

It's a very selfish thing. It's a very personal thing. I, I just think... (music)

Lenny Rachitsky

Today my guest is Alon Reshef. Alon is co-founder and chief product officer at Gong. He was also the longtime chief technology officer at Gong. As I shared at the top of our conversation, it feels like basically every company that has a sales team uses Gong, and it's really rare to build a product that is so ubiquitous and so loved across the tech ecosystem. In our conversation, Alon shares some of the secrets of what makes Gong so consistently successful, including how their product teams work with six to 12 design partners on every new product and feature that they invest in, how he creates a culture of autonomy and trust, why and also how he optimizes for making decisions quickly, even large one-way door decisions, what he and his team have learned about building AI-based products since they've been building AI-based products longer than most other companies, and so much more. If you're building a B2B SaaS company or product, you will learn a lot from this conversation. If you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. It's the best way to avoid missing future episodes, and it helps the podcast tremendously. With that, I bring you Alon Reshef. This episode is brought to you by WorkOS. If you're building a SaaS app, at some point, your customers will start asking for enterprise features like SAML authentication and SCIM provisioning. That's where WorkOS comes in, making it fast and painless to add enterprise features to your app. Their APIs are easy to understand so that you can ship quickly and get back to building other features. Today, hundreds of companies are already powered by WorkOS, including ones you probably know, like Vercel, Webflow, and Loom. WorkOS also recently acquired Warrant, the fine-grained authorization service. Warrant's product is based on a groundbreaking authorization system called Zanzibar, which was originally designed for Google to power Google Docs and YouTube. This enables fast authorization checks at enormous scale while maintaining a flexible model that can be adapted to even the most complex use cases. If you're currently looking to build role-based access control or other enterprise features like single sign-on, SCIM, or user management, you should consider WorkOS. It's a drop-in replacement for Auth0 and supports up to one million monthly active users for free. Check it out at workos.com to learn more. That's workos.com. Hey, it's Lenny. If you want to boost your clarity and confidence, I want to recommend a podcast called Think Fast, Talk Smart. One of the most essential ingredients to success in business and in life is effective communication. Every Tuesday, host and Stanford Graduate School of Business lecturer Matt Abrahams sits down with experts to discuss the best tips and techniques that enhance your professional development. Hone your small talk, influence, presentation skills, and so much more on Think Fast, Talk Smart. So what are you waiting for? Listen every Tuesday wherever you get your podcasts and find additional content to level up your communication at fastersmarter.io. (music) Alon, thank you so much for being here, and welcome to the podcast.

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