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Selling Without a Sales Team: How Railway Scaled GTM to $100M+ with Under 10 Reps | Rahul Parmar

Episode 341 - Rahul Parmar breaks down the future of selling, AI-powered growth, and why founders need to rethink how they scale.

In this episode of Tank Talks, host Matt Cohen sits down with Rahul Parmar, Head of Go-to-Market at Railway and Venture Partner at Ripple Ventures, to unpack the real truths of building a sales engine in the modern AI era. Rahul shares his journey from being one of the first sales hires at Google Cloud in London to scaling Drata’s sales team from Series A to Series C, and now leading GTM at the developer-first cloud platform, Railway. He explains why the traditional sales hierarchy is becoming obsolete, how he built Drata’s engine by hiring in Toronto when it was a contrarian move, and why he believes Canadian reps are some of the best in the world.

They break down the “time chamber” theory of selling in Canada, why the US market is a “shooting fish in a barrel” for trained Canadian talent, and the fundamental problem with Canada’s ecosystem: a lack of capital and customers, not a lack of great founders. Rahul also shares his spicy take on the AI boom, explaining why the era of marking up token prices is over and why enterprises will soon distribute their AI workloads across multiple models.

Whether you’re a founder trying to land your first enterprise deal, a sales leader building a team, or an engineer contemplating a move to the Bay Area, this conversation offers a rare look inside the new playbook for winning in GTM.


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From Google Cloud to Drata: The Early Days of a Sales Career (02:07)

  • Joining Google Cloud in London as the 5th or 6th seller, when revenue was under $100M

  • The “confidence in the root” that Google provides, and using that shield to be transparent with customers

  • Why the best sales advice is: “Tell them what you do, tell them what you don’t do, and then shut up”

  • Transitioning to Drata as the first sales leader, taking it from <$5M to >$50M in revenue

The “Time Chamber” Theory: Why Canadian Sales Talent is Elite (13:18)

  • The Dragon Ball Z analogy: Selling in Canada is like training in a weighted vest

  • Why Canadian buyers are incredibly difficult, forcing reps to master the fundamentals

  • How Canadian reps “crush it” when unleashed on the US market, where the propensity to buy is higher

  • The story of Drata’s top AEs in every segment being based in Toronto

The AI Era of Selling: Fewer Reps, More Revenue (15:41)

  • Why you can now scale to $1B in revenue with a team the size of a Series A startup

  • The shift from a siloed GTM model to a unified one where GTM leaders are involved in everything

  • Why the era of the “forecast aggregator” sales manager is over

  • The new imperative: You’re either building the system or you’re selling deals

  • How Railway builds its own internal software, like its own Zendesk, to own the customer experience

Railway: The Developer Experience First Cloud (20:49)

  • What Railway is: The cloud where you point to a GitHub repo and it just launches

  • Why they run their own steel: The rate limits and poor fit of building a cloud on another cloud

  • The importance of owning the entire stack for a usage-based business

  • Why post-close support is a huge part of the revenue game at Railway

The Canadian Ecosystem: Capital, Customers, and the Need for Network Effects (25:21)

  • Why it doesn’t matter where the investors come from, but where the capital and customers are

  • The “tragedy” of successful Canadian companies, like Wattpad and Turbo Puffer, having their exit proceeds and financing led by US firms

  • The two fundamental problems for Canadian startups: access to capital and access to early customers

  • The “35 in Toronto vs. 35 in SF” thought experiment: Why you can’t monetize your network in Canada

  • Why companies like Datadog and Snowflake would have died in the water if they started in Toronto

AI, GTM, and the Future of Sales (35:41)

  • How Rahul uses AI at Railway to do lookalike mapping of customers based on usage patterns

  • Why he doesn’t believe in high-volume, AI-driven cold outreach

  • The one quality he looks for in great GTM people: Intelligence, defined as listening for what’s not being said and storytelling

  • How to call “bullshit” on a sales hire in an interview: Ask for second-level details on a deal

  • His spicy take: The era of marking up token prices is over; enterprises will soon distribute workloads across a mix of frontier and open-source models

The Road Ahead: Building from Anywhere, Winning Everywhere (39:38)

  • The plan for Canadian founders: Build your product here, sell it in the US

  • The value of doing a stint at a high-growth US company, like Ramp or Anthropic, to absorb the culture and build a network

  • Why the next generation of Canadian founders should not apologize for building here

  • The “Build, Follow, or Get Out of the Way” mentality for the Toronto tech ecosystem


About Rahul Parmar

Rahul Parmar is the Head of Go-to-Market at Railway, a developer experience first cloud platform, and a Venture Partner at Ripple Ventures. Previously, he was the first sales leader at Drata, where he scaled the sales team from Series A to Series C. He was also one of the first sales hires for Google Cloud in London. He holds a degree from business school and built Canada’s largest coding bootcamp, Lighthouse Labs, before his career in high-growth SaaS.

Connect with Rahul Parmar: https://www.linkedin.com/in/rahulparmargtm/

Visit the Railway website: https://railway.com/


Connect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1

Visit the Ripple Ventures website: https://www.rippleventures.com/

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