The Crew Podcast (fka The Vibescaling Podcast)
Mike’s Background Mike Heller is a Partner at Floodgate, one of the most respected seed-stage venture firms in Silicon Valley known for early bets on companies like Twitch, Lyft, and Twitter. Before Floodgate, Mike spent four and a half years at Clearbit where he joined as the first sales and marketing hire and helped grow the business from just over $1M to nearly $15M ARR. Prior to that, he was an early enterprise seller at Dropbox during the era when it was a "nearly impossible" sell, competing against free bundled solutions from Google and Microsoft while Box was building everything the enterprise buyer wanted. Mike got his start in Singapore running sales for a test prep business, then got pulled into Dropbox's experimental bottoms-up sales motion before it even had a name. After Clearbit he built a GTM advisory practice working with pre-PMF founders, which eventually led him to the investor seat at Floodgate. Discussed In This Episode Why the Dropbox enterprise sale was so hard and why that difficulty bred an elite generation of sellers The "smooth talker" trap: why the most impressive interview candidate is often your worst hire Why founders hire salespeople too early and what they're actually trying to solve The Jason Lemkin "hire two AEs" rule and when it's completely wrong How Mike grew Clearbit from ~$1M to ~$15M as the first GTM hire Why he stopped wanting to be a sales leader, and what he chased instead How giving free feedback on founder sales calls built his advisory business, deal flow, and investor career The two traits Floodgate looks for before writing a check: speed and "super learning" Why the Wayback Machine is an underrated founder diligence tool Where AI is actually showing up in sales and where it's still not touching the core of the job Timestamps (00:00) Intro (01:35) Mike's Background: Singapore → Dropbox → Clearbit → Floodgate (04:09) What Made the Dropbox Sales Culture So Elite (05:02) Why Selling Dropbox Enterprise Was "Nearly Impossible" (06:01) Leaving Dropbox: Choosing Clearbit Over Slack and Segment (09:58) Growing Clearbit From $1M to $15M as First GTM Hire (11:17) Why Mike Stopped Wanting to Be a Sales Leader (12:48) Building an Angel Investing and Advisory Career (14:37) Common Mistakes Founders Make on Discovery Calls (15:43) When Founders Should (and Shouldn't) Hire Their First AE (18:22) Why Hiring Too Early Creates Bad Revenue (20:22) From Advisory to Floodgate: Choosing the VC Path (25:39) Do Operators Make Better Investors? (27:56) The Two Traits That Matter Before Writing a Check: Speed + Super Learning (30:40) The Wayback Machine as a Founder Diligence Tool (32:15) AI in the Sales Tech Landscape: What's Real and What's Not (36:56) Career Advice: Stop Optimizing for Logos, Chase Energy (40:08) The "Smooth Talker" Trap in Sales Hiring (43:55) Should Founding AEs Get More Equity? (48:13) Why You Shouldn't Optimize Your Fundraise Around a GTM-Focused VC (50:19) The Future of Sales: Reps Who Can Ship Code About The Vibescaling Podcast The Vibescaling podcast interviews GTM leaders and investors at top AI startups and early-stage companies. Every week, host Chris Balestras, partner @ Vibescaling (an advisory, recruiting, investing, & media firm for seed through series C AI-natives) sits down with GTM operators from the fastest-growing AI natives and SaaS companies to break down what's actually working in go-to-market today. No fluff, no theory - just honest, tactical insights from people in the trenches building the next generation of AI breakouts. About Vibescaling Vibescaling is an advisory, recruiting, investing, & media firm for seed through series C AI-natives & fast-growing SaaS startups. Where to Find Vibescaling LinkedIn: https://www.linkedin.com/company/vibescaling/ [https://www.linkedin.com/company/vibescaling/] YouTube: https://www.youtube.com/channel/UC-rcm2qdgF22H2th_Khrlxg [https://www.youtube.com/channel/UC-rcm2qdgF22H2th_Khrlxg] Newsletter: https://www.vibescaling.blog/ [https://www.vibescaling.blog/] Website: https://www.vibescaling.ai/ [https://www.vibescaling.ai/]
26 episodios
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