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In Depth

First Round
In Depth
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184 episodios

  • In Depth

    What startups get wrong about enterprise | Lindsey Scrase (COO, Checkr)

    30/07/2026 | 1 h 8 min
    In the latest episode of Executive Function, Brett sits down with Lindsey Scrase, COO of Checkr. Before joining Checkr as CRO and later stepping into the COO seat, Lindsey spent nearly a decade at Google Cloud as global managing director for SMB, mid-market, and startups. In this conversation, she breaks down why moving upmarket into enterprise trips up so many startups looking to scale, how Checkr rebuilt its sales compensation model to keep pace with growth, and where AI is already reshaping her operations and go-to-market teams.

    In today's episode, we discuss:

    Why operators who thrive at massive-scale companies often struggle when they join a startup

    The hard-won lessons from Checkr's early enterprise push that nearly failed

    Why Checkr’s C-suite meets every morning with no specific agenda

    The surprising challenges moving from CRO to COO

    How Checkr turned AI experiments into operating systems

    References

    Amazon: https://www.amazon.com

    Checkr: https://checkr.com

    Claude: https://claude.com

    Daniel Yanisse: https://www.linkedin.com/in/yanisse/

    DoorDash: https://www.doordash.com

    Google: https://www.google.com

    Lovable: https://lovable.dev

    Microsoft: https://www.microsoft.com

    Where to find Lindsey

    LinkedIn: https://www.linkedin.com/in/lindsey-scrase-0702442/

    Twitter/X: https://twitter.com/Lscrase

    Where to find Brett

    LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/

    Twitter/X: https://twitter.com/brettberson

    Where to find First Round Capital

    Website: https://firstround.com/

    First Round Review: https://review.firstround.com/

    Twitter/X: https://twitter.com/firstround

    YouTube: https://www.youtube.com/@FirstRoundCapital

    This podcast on all platforms: https://review.firstround.com/podcast

    Timestamps

    00:00 Introduction

    00:06 Why big-company executives often struggle in startups

    02:18 What Checkr's first CRO needed to accomplish

    03:33 How to take on an entrenched category leader

    06:58 Why leaders underestimate how hard the jump to enterprise really is

    10:23 Separating a true deal-blocker from a customer's nice-to-have request

    18:30 Why Lindsey hired enterprise-scarred sales leader over a market leader's résumé

    22:08 The biggest challenges of moving from CRO to COO

    28:03 Why Checkr names a single decision-maker for every major decision

    34:42 Why Checkr rebuilt their sales compensation model

    40:39 What actually separates a team's best seller from everyone else

    45:03 Inside Checkr’s daily, no-agenda, c-suite meeting

    50:23 How following data can sometimes lead you in the wrong direction

    57:27 Why hitting 130% of a goal isn’t always a good thing

    58:57 Where AI has changed how Checkr's teams operate day to day

    1:04:33 Advice for all aspiring COOs
  • In Depth

    How Gamma pulled off their AI pivot | Jon Noronha (Co-founder and CPO of Gamma)

    24/07/2026 | 1 h 2 min
    In this episode of In Depth, Brett sits down with Jon Noronha, co-founder and CPO of Gamma, the AI-native presentation platform used by more than 100 million people. In this conversation, he walks through Gamma’s distinct eras of product-market fit: from a pre-AI struggle with a year of runway left, to an overnight AI-fueled explosion, to today’s unplanned scramble into enterprise sales. Jon also unpacks his hard-won lessons on horizontal versus vertical bets, monetizing AI products, and why nailing onboarding turned out to be the whole game.

    In today's episode, we discuss:

    Why Gamma's all-in AI launch in March 2023 saved their startup

    How fixing a simple onboarding problem accidentally uncovered Gamma’s entire product-market fit

    Why Jon bet Gamma on a horizontal product against the advice of nearly every investor

    How Gamma's daily signups climbed from hundreds to over 100,000 with zero paid marketing

    What building three pricing tiers taught Jon about monetizing AI

    References

    Canva: https://www.canva.com/

    Corgi: https://www.corgi.insure/

    Facebook: https://www.facebook.com/

    Gamma: https://gamma.app/

    Google: https://www.google.com/

    Linear: https://linear.app/

    Loom: https://www.loom.com/

    Microsoft: https://www.microsoft.com/

    Notion: https://www.notion.com/

    Optimizely: https://www.optimizely.com/

    Salesforce: https://www.salesforce.com/

    Slack: https://slack.com/

    Zoom: https://www.zoom.us/

    Where to find Jon Noronha

    LinkedIn: https://www.linkedin.com/in/jonnoronha/

    Twitter/X: https://twitter.com/thatsjonsense

    Where to find Brett

    LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/

    Twitter/X: https://twitter.com/brettberson

    Where to find First Round Capital

    Website: https://firstround.com/

    First Round Review: https://review.firstround.com/

    Twitter/X: https://twitter.com/firstround

    YouTube: https://www.youtube.com/@FirstRoundCapital

    This podcast on all platforms: https://review.firstround.com/podcast

    Timestamps:

    00:00 Introduction

    01:47 Gamma’s three-era journey to product-market fit

    03:41 Spotting the blank page problem pre-ChatGPT

    05:11 How Gamma survived with only one year of runway

    07:17 How onboarding fixes revealed the whole product

    09:31 Choosing horizontal over investors' vertical playbook

    13:41 Prototyping by hand before AI coding

    15:36 How Gamma builds with future models in mind

    20:06 The Kool-Aid mistake of a late PowerPoint export

    24:31 Why the presentation industry hadn't evolved since 1987

    33:30 How Gamma solves evals for taste, not just data

    40:21 Jon's hardest lessons monetizing AI since 2023

    44:16 The fast leap from prosumer to enterprise

    47:01 Why product still beats distribution

    52:06 The metric that proved product-market fit

    57:36 Pricing advice for prosumer AI founders

    59:01 The toils and realities of founder life
  • In Depth

    Why Plaid’s COO cold-calls new hires | Eric Sager (COO of Plaid)

    16/07/2026 | 1 h 9 min
    In the latest episode of Executive Function, Brett sits down with Eric Sager, COO of Plaid, following stints as CRO of Bluevine and Head of Sales at Square. During his seven-year tenure at Plaid, Eric has helped lead the business through a pandemic, Visa's collapsed acquisition, a fintech downturn, and the AI boom. In today’s conversation, he unpacks how he kept teams focused during turbulent times, why he refuses to run at 100% capacity, and how he re-architected the go-to-market function as Plaid scaled.

    In today's episode, we discuss:

    How Plaid stayed focused after the Visa acquisition fell through and then raised at nearly 3x the price

    Why great COOs deliberately make themselves obsolete

    Why Eric treats speed, risk, and cost as a three-way trade-off, and why sometimes going slower wins

    How refusing to run at 100% capacity helped Plaid win OpenAI, Perplexity, and Replit

    Why Eric personally cold-calls brand-new employees

    References

    Bain & Company: https://www.bain.com

    Bluevine: https://www.bluevine.com

    Chase: https://www.chase.com

    Citibank: https://www.citi.com

    Eyal Lifshitz: https://www.linkedin.com/in/eyallifshitz/

    Françoise Brougher: https://x.com/FrancoiseBr

    Gokul Rajaram: https://www.linkedin.com/in/gokulrajaram1/

    Jack Dorsey: https://x.com/jack

    Michael Mankins: https://www.linkedin.com/in/michaelcmankins

    OpenAI: https://openai.com

    Perplexity: https://www.perplexity.ai

    Plaid: https://plaid.com

    Replit: https://replit.com

    Sarah Friar: https://www.linkedin.com/in/sarah-friar/

    Square: https://squareup.com

    Visa: https://www.visa.com

    William Hockey: https://www.linkedin.com/in/william-hockey-04536710

    Zach Perret: https://www.linkedin.com/in/zperret/

    Where to find Eric Sager

    LinkedIn: https://www.linkedin.com/in/eric-sager-a529516

    Where to find Brett

    LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/

    Twitter/X: https://twitter.com/brettberson

    Where to find First Round Capital

    Website: https://firstround.com/

    First Round Review: https://review.firstround.com/

    Twitter/X: https://twitter.com/firstround

    YouTube: https://www.youtube.com/@FirstRoundCapital

    This podcast on all platforms: https://review.firstround.com/podcast

    Timestamps

    00:00 Introduction

    00:40 Leading a company through turbulent times

    04:24 How to build a resilient team culture

    08:33 How Plaid avoids bureaucracy, while operating at scale

    10:58 The speed-quality tradeoff: Going faster isn't always better

    15:32 When to move from generalists to specialized customer segments

    20:14 Why Plaid has one owner for entire customer relationships

    22:06 The "quarterback" model: one owner, experts on call

    24:08 Why you should never run your org at 100% capacity

    29:47 "Always available, never needed": the support mantra

    36:49 Eric’s unusual "hit by a bus" test to measure job success

    43:57 Why Eric cold calls brand-new employees

    52:14 Eric's week: 25% ecosystem, 50% business, 25% team

    55:15 How to spot fake mission alignment in interviews

    59:04 The one thing a founder has that no hire can replicate
  • In Depth

    How Supabase became the essential infrastructure for the AI era | Paul Copplestone (Co-founder, CEO)

    25/06/2026 | 59 min
    In this episode of In Depth, Brett sits down with Paul Copplestone, co-founder and CEO of Supabase, the open-source Postgres platform now serving more than seven million developers. Before Supabase, Paul launched a Thumbtack-style marketplace in Southeast Asia and co-founded an office-management startup called Nimbus, experiences that taught him to separate fundraising from building and to find product-market fit before blitzscaling. He breaks down how a single tagline change for Supabase unlocked product-market fit, why he runs a fully distributed async team with near-zero attrition, and how he turned PLG signals into a product-led sales motion comped only on incremental uplift.

    In today's episode, we discuss:

    How changing one tagline helped Supabase go to #1 in Hacker News - an early sign of product market fit

    Why Paul ran Supabase like it had only $100K in the bank despite raising real money

    How Supabase rode three distinct AI waves, from pgvector to Bolt and Lovable, to Claude Code

    Why Supabase built a sales team comped only on the incremental uplift over a control group

    What the Toyota production system's "kaizen" taught Paul about unblocking a scaling team

    References:

    Ant Wilson: https://www.linkedin.com/in/ant-wilson-46179937

    Bolt: https://bolt.new/

    Claude Code: https://www.anthropic.com/claude-code

    Codex: https://openai.com/codex/

    Entrepreneurs First: https://www.joinef.com/

    Firebase: https://firebase.google.com/

    Lovable: https://lovable.dev/

    MongoDB: https://www.mongodb.com/

    Next.js: https://nextjs.org/

    PostgreSQL: https://www.postgresql.org/

    Supabase: https://supabase.com/

    Thumbtack: https://www.thumbtack.com/

    Y Combinator: https://www.ycombinator.com/

    Where to find Paul:

    LinkedIn: https://www.linkedin.com/in/paulcopplestone

    Twitter/X: https://x.com/kiwicopple

    Where to find Brett:

    LinkedIn: https://www.linkedin.com/in/brett-berson-9986094/

    Twitter/X: https://twitter.com/brettberson

    Where to find First Round Capital:

    Website: https://firstround.com/

    First Round Review: https://review.firstround.com/

    Twitter/X: https://twitter.com/firstround

    YouTube: https://www.youtube.com/@FirstRoundCapital

    This podcast on all platforms: https://review.firstround.com/podcast

    Timestamps:

    00:00 Introduction

    01:32 Why Paul's earlier startups were never destined to be huge

    07:14 Unlearning the "tall poppy" mindset and going all-in on async

    09:54 Reverse-engineering why Supabase was an outstanding idea

    12:04 The accidental Hacker News launch and tagline lesson

    13:58 Where the early roadmap came from: demand vs. technical taste

    17:28 Skill vs. luck, and operating like you have $100K in the bank

    21:42 What actually makes a great developer experience

    23:10 Solving the "graduation problem" Firebase never could

    24:58 The role of open source in Supabase's success

    26:10 The three distinct AI tailwinds: From pgvector to Claude Code

    35:24 Supabase’s egoless, hyper-competitive open-source culture

    42:58 A tactical playbook for raising capital

    48:37 Product-led sales comped on incremental uplift only

    59:27 The production philosophy behind Supabase’s operations
  • In Depth

    How to build a beloved tech brand | Sheila Joglekar Vashee (CMO, Figma)

    04/06/2026 | 1 h
    In today's conversation, Brett sits down with CMO of Figma, Sheila Joglekar Vashee. Previously the second marketing hire at Dropbox, where she helped scale the company past $1 billion in revenue, she now leads marketing at Figma fresh off its IPO. In an industry that has spent a decade trying to turn marketing into something closer to hedge fund trading, Sheila argues the art was always the point — we just stopped talking about it. She unpacks how to run marketing as a portfolio of moonshots, why giving teams different goals breeds dysfunction, how to scale taste across an organization, and why old playbooks are obsolete, even as the fundamentals hold.

    In today's episode, we discuss:

    How to run marketing like a portfolio of moonshots

    The value of disruptive energy for senior marketers

    Why "Ubiquity is the opposite of cool"

    How to actually scale taste across an organization

    What great marketing looks like in the AI era

    Referenced:

    Apple: https://www.apple.com/

    Dennis Woodside: https://www.linkedin.com/in/dennis-woodside-341302/

    Dropbox: https://www.dropbox.com/

    Dylan Field: https://www.linkedin.com/in/dylanfield/

    Figma: https://www.figma.com

    Francoise Brougher: https://www.linkedin.com/in/francoise-brougher-341a72/

    Gap: https://www.gap.com/

    Google Chrome: https://www.google.com/chrome/

    Harley-Davidson: https://www.harley-davidson.com/

    HubSpot: https://www.hubspot.com/

    Notion: https://www.notion.com/

    Opendoor: https://www.opendoor.com/

    Pinterest: https://www.pinterest.com/

    Square: https://squareup.com/

    The Web Is What You Make of It (Dear Sophie): https://www.youtube.com/watch?v=pzOBOuyr-EU

    Urban Outfitters: https://www.urbanoutfitters.com/

    Yamini Rangan: https://www.linkedin.com/in/yaminirangan/

    Where to find Sheila:

    LinkedIn: https://www.linkedin.com/in/sheilavashee/

    X: https://x.com/sheilavashee

    Where to find Brett:

    LinkedIn: https://www.linkedin.com/in/brett-berson-9986644/

    X: https://x.com/brettberson

    Where to find First Round Capital:

    Website: https://firstround.com/

    First Round Review: https://review.firstround.com/

    Twitter/X: https://twitter.com/firstround

    YouTube: https://www.youtube.com/@FirstRoundCapital

    This podcast on all platforms: https://review.firstround.com/podcast

    Timestamps:

    00:00 Introduction

    00:07 What excellent marketing actually is in 2026

    01:36 Why giving teams different goals creates dysfunction

    02:36 The most important decision Sheila made as CMO last year

    04:26 The real difference between an SVP and a CMO

    06:05 Marketing is one engine - not separate pieces

    07:15 The tension between brand and growth

    09:25 The decisions a CMO should never be making

    09:55 Running marketing like a portfolio of moonshots

    12:46 "Ubiquity is the opposite of cool"

    15:11 Why a few companies get a flywheel of momentum

    16:44 The Silicon Valley clock and irrational perception cycles

    19:25 How to actually scale taste across an org

    21:09 What changes for a CMO in a post-LLM world

    23:15 Why the artistic side of marketing never really left

    26:05 Whether taste can ever be encoded in software

    27:15 Telling an optimistic, yet realistic story about AI

    30:50 You need to make people care

    32:11 What surprised Sheila about being a public-company CMO

    33:46 Why Figma won enterprise where Dropbox couldn't

    35:25 Sheila’s favorite campaign ever

    37:10 Why announcement videos full of humans, lack humanity

    38:55 Playbooks are obselete, but the fundamentals are not

    40:25 Why marketing in 2026 demands disruptive energy

    41:54 How Sheila architects her week

    48:55 Where corporate politics actually come from

    53:55 "Sheila, are you going to change the world in this job?"

    58:09 What's unique about the CMO and CEO relationship
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Acerca de In Depth
Welcome to In Depth, a podcast from The First Round Review that’s dedicated to surfacing the tactical advice founders and startup leaders need to grow their teams, their companies and themselves. Hosted by Brett Berson, a partner at First Round, In Depth will cover a lot of ground and a wide range of topics, from hiring executives and becoming a better manager, to the importance of storytelling inside of your organization. But every interview will hit the level of tactical depth where the very best advice is found. We hope you’ll join us. Subscribe to “In Depth” now and learn more at firstround.com
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