Mark Roberge is co-founder and Managing Director at Stage 2 Capital, a VC firm backed by roughly a thousand LPs who are go-to-market operators, including the founding CRO of Snowflake and revenue leaders at Anthropic, OpenAI, Databricks, and GitHub. He was the fourth hire at HubSpot and its CRO, taking the company from zero to 100 million in revenue through its IPO. He teaches entrepreneurial sales at Harvard Business School, a course that had 550 students last year and 70 sales coaches on staff, and he is the author of The Sales Acceleration Formula and The Science of Scaling. All proceeds from the new book go to mental health causes.

Timestamps:

• (00:00) Welcome to the Crew podcast

• (00:58) The keynote that became the book

• (02:06) The pattern behind the IPOs and the bankruptcies

• (04:01) Hiring sales too early, and the VC treadmill

• (05:52) Assessing the blitzscale risk of your category

• (06:19) AI customer support versus software for airports

• (07:02) Set a hiring pace, not a lump sum in January

• (08:38) The dilution trap

• (10:02) Twenty bets a decade versus your one

• (12:24) Nobody agrees on what product market fit is

• (13:26) Value creation, not revenue creation

• (15:06) Slack's real North Star metric

• (16:04) Go-to-market fit and unit economics

• (17:16) The revenue velocity formula

• (21:33) What is broken in venture capital

• (26:12) How his Harvard sales class found product market fit

• (29:39) Why he would hire MBAs right now

• (30:41) Scorecard versus vibes

• (33:42) The biggest hiring mistake founders make

• (38:26) Hiring the startup person

• (41:36) "I want them to cheat with AI"

• (46:51) Selling time: 12 hours a week to 25

• (48:29) Paying HubSpot reps 25% more instead of hiring

• (57:37) Why the book proceeds go to mental health

About The Crew Podcast

The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew, talks to the people actually building go-to-market motions in real time, not in retrospect.

About Crew

Crew is a recruiting, investing, & media firm for seed through series D AI-natives & fast-growing SaaS startups.

This Episode Is Brought To You By

Attention: Put a team of revenue agents on every deal. Attention captures every customer interaction without a bot in the room, updates your CRM, automates your reporting, scores reps and opportunities against any framework, and forecasts in a way you can actually trust. Trusted by Lovable, Abridge, Avoca, and hundreds of other fast-growing companies. Try it at https://www.attention.com/

Metaview: The agentic recruiting platform, built for hiring end to end. Metaview's agents source and reach out to candidates in your own tone, review every inbound application against your criteria and tell you exactly why someone made the shortlist, join every call and deliver structured notes the moment it ends, and surface trends across your pipeline from salary expectations to AI fluency. Recruiters, hiring managers and agents all work off one layer of context, with permissions and a full audit trail behind every output. Trusted by Deel, Brex, Deliveroo, Replit and thousands of other teams. Start for free at https://www.metaview.ai/

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Website: https://www.withcrew.ai/

Blog: https://www.withcrew.blog/

Nic's Background
Nic Siegle is a founding account executive at Dust, the Series B, Sequoia-backed platform for teams of humans and teams of agents. He has been there about a year, placed by Crew's recruiting practice, and came in from a product-led background at Mixpanel and Asana, where product usage data was the bread and butter. He describes himself as a tinkerer who cannot imagine a better tool to play with, and he runs his own account executive operating system inside Dust: a morning briefing delivered as a podcast, an Eisenhower matrix of AI recommended actions, live account plans with org charts, and a fresh AI generated seagull every day because life is short.

Timestamps(00:00) The wrong thing at amazing scale

(01:30) Welcome to the Crew podcast

(02:31) Why Crew wanted to try a live demo episode

(03:56) Nic's background, and what Dust actually is

(06:11) The three stages of AI adoption inside companies

(07:39) Open source Chinese models, and sitting on top of every model

(08:30) The MCP timeline, and when tools started talking to each other

(11:25) Was Opus the chasm?

(12:54) The core sales use cases, from ask-sales bots to RFPs

(17:10) Why "how AI pilled are you" is now an interview question

(18:06) How Clay and 1Password govern who builds what

(20:51) "Show me something you've built"

(22:04) Building a pre-call prep agent from scratch

(24:48) Picking a model, and the test that cost 178 times more

(31:07) Idiot in motion versus the blast radius of AI

(39:03) Setting a 7am trigger and emailing yourself the brief

(44:48) Publishing an agent so the whole team can use it

(49:26) Nic's cockpit: Pods and an AE operating system

(55:36) Building an account plan with org chart and live product usage

(01:01:15) Where to try Dust

About The Crew Podcast
The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew, talks to the people actually building go-to-market motions in real time, not in retrospect.

About Crew
Crew is a recruiting, investing, & media firm for seed through series D AI-natives & fast-growing SaaS startups.

This Episode Is Brought To You By
Dust: The platform for teams of humans and teams of agents to work together. Build agents without writing a line of code, connect them to your company's data and tools, and run them from Slack, a spreadsheet, the Chrome extension, or your phone. Dust sits on top of frontier and open source models so you can pick the right one for each job, with permissions, governance, and human-in-the-loop controls set per action. Trusted by Datadog, 1Password, and Clay. Try it at https://dust.tt/

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Website: https://www.withcrew.ai/

Blog: https://www.withcrew.blog/

Dini Mehta is an Operating Partner at Peak XV, where she parachutes into portfolio companies on go-to-market, sits in exec meetings, runs forecast calls, and hosts open office hours for founders and GTM teams across the portfolio. She was CRO at Lattice, where she took the company from $3M to over $100M ARR and from a single product to a platform. Before that she led go-to-market at Drawbridge from pre-revenue to $140M ARR, and got her start in the early programmatic days at Comcast. An immigrant who fell into sales and then into tech, she spent roughly a decade selling top-down enterprise before deliberately taking a job in a category she knew nothing about.

Timestamps:

• (00:00) The AI theater

• (01:41) Welcome to the Crew podcast

• (02:39) Leaving the operator seat for Peak XV

• (07:44) What Peak XV is, and her three engagement models

• (10:25) The question she gets most in office hours

• (11:23) Comcast, Drawbridge, and Lattice from $3M to $100M

• (14:17) Two types of go-to-market leaders

• (14:38) Top down versus bottom up, and where each one breaks

• (18:06) Trap one: hiring AEs before you have demand

• (20:27) Trap two: not hiring fast enough at 500% attainment

• (22:14) Why she ignores resumes and logos

• (24:31) Trap three: the founder who passes the hot potato

• (26:27) Centralized or decentralized AI ownership

• (29:05) Behind closed doors, none of it is solved

• (31:20) How she diligences a company

• (34:19) The hypotheticals that expose a founder

• (38:08) Why traction alone has eroded as a signal

• (38:47) The full body yes

• (39:47) Run your own race

• (42:22) What she would tell her younger self

About The Crew Podcast

The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.Every week, host Chris Balestras, partner @ Crew, talks to the people actually building go-to-market motions in real time, not in retrospect.

About Crew

Crew is a recruiting, investing, & media firm for seed through series D AI-natives & fast-growing SaaS startups.

This Episode Is Brought To You By

Attention: Put a team of revenue agents on every deal. Attention captures every customer interaction without a bot in the room, updates your CRM, automates your reporting, scores reps and opportunities against any framework, and forecasts in a way you can actually trust. Trusted by Lovable, Abridge, Avoca, and hundreds of other fast-growing companies. Try it at https://www.attention.com/

Metaview: The agentic recruiting platform, built for hiring end to end. Metaview's agents source and reach out to candidates in your own tone, review every inbound application against your criteria and tell you exactly why someone made the shortlist, join every call and deliver structured notes the moment it ends, and surface trends across your pipeline from salary expectations to AI fluency. Recruiters, hiring managers and agents all work off one layer of context, with permissions and a full audit trail behind every output. Trusted by Deel, Brex, Deliveroo, Replit and thousands of other teams.

Start for free at https://www.metaview.ai/

Where to Find CrewLinkedIn:

https://www.linkedin.com/company/crewgtm

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

Website: https://www.withcrew.ai/

Blog: https://www.withcrew.blog/

This week Chris sits down with Liam Mulcahy, Head of Go-to-Market at Parallel Web Systems, who spent seven years in venture at Kleiner Perkins before taking an operating role and bringing seven people with him. Liam's claim is that the innovator's dilemma gap has effectively closed: Parallel has closed roughly 10 Fortune 500 enterprises in the last four months, one of them the fastest AI deal a major bank could remember, and those buyers are now evaluating with the same sophistication as agentic-native companies.

He also makes the case that a modern GTM org needs 50% fewer salespeople up to half a billion in revenue, walks through the payback-of-one standard he holds new reps to inside 45 days, and explains what happens when a rep shows up with a PhD-level brief built in Claude and can't say whether the prospect is based in New York or San Francisco. It's his second time on the show, and he spends most of it arguing against the way sales teams are still being built.

Discussed In This Episode

• Why the innovator's dilemma gap has almost disappeared for companies building on the frontier

• The 10 Fortune 500 deals Parallel closed in four months, and the bank that called it their fastest AI deal ever

• Payback of one: covering a rep's full base salary in closed deals within 45 days

• Why he thinks you need 50% fewer salespeople up until half a billion in revenue

• Teaching classically trained sellers to be technical, and technical sellers to run a real process

• The Claude brief that looks perfect and still can't tell you how the company makes money

• Why "that ignorance is unemployment" if you're not building with these tools for fun

• Leaving seven years in VC for an operating role, and the seven people who came with him

• Why he wanted founders with perspective, and the Father's Day tea he didn't want to explain to a 24-year-old

Timestamps:

(0:00) Cold open + intro

(3:00) The Paul Graham "GTM is bogus" tweet

(4:12) From Kleiner Perkins back to the operator seat

(9:57) Getting the band back together: the seven who came over

(12:10) Picking your spot in the AI stack

(16:02) The eval harness: a fourth party in every deal

(23:36) Influencing deals you're boxed out of

(27:43) The enterprise lag is dead

(33:12) Capacity math: the Degnan debate & payback of one

(39:35) Jevons paradox & the one-person-company myth

(42:01) When to use AI in sales - and when it backfires

(44:26) "How does this company make money?": the Claude doc story

(50:51) The new org chart: deployed engineers & the end of the CSM

(54:36) Paid extroverts: why founders hire consultants post-sale

(56:37) Why Parallel will never hire BDRs

(1:01:50) Ignorance is unemployment: every rep needs a GitHub

(1:06:45) Where the talent went - and the Shawshank close

About The Crew Podcast

The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew (a recruiting, investing, & media firm for seed through Series D AI-natives & fast-growing SaaS startups) 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 Crew

Crew is a recruiting, investing, & media firm for seed through Series D AI-natives & fast-growing SaaS startups.

Where to Find CrewLinkedIn: https://www.linkedin.com/company/crewgtmYouTube: https://www.youtube.com/@thecrewgtmNewsletter: https://www.withcrew.blog/Website: https://www.withcrew.ai/

Marcus Holm is the Chief Revenue Officer at Exa, the search API built for agents, now used under the hood by Cursor and Cognition's Devin among others. He joined in 2026 after nearly four years at LaunchDarkly, where he was CRO and then President and took rep quota attainment from 18% to 54%. Before that he led go-to-market at Heptio, the Kubernetes company founded by Craig McLuskie and Joe Beda, and at Cloudera during the Hadoop wars. He spent three and a half years at Cisco across Raleigh, Dallas, Singapore, and the Bay Area. He started out knocking doors on commission in college, and before that spent two years in Latvia and Estonia selling religion to atheists in Russian, a language he did not speak when he arrived.

Discussed in This Episode:

• Why AI companies keep building their sales teams out of Utah, and what an 18-month church mission does to a person's tolerance for rejection

• Why door-to-door is the most intimidating sale there is, and how telesales and field sales each get easier from there

• Commission-only math: 25 reps go out for the summer, ten are left by the end of it

• The 75% pay cut he took on purpose to leave door-to-door for an SDR seat at Cisco

• Two special needs brothers, a sister who died of cancer, a father who went bankrupt, and the risk tolerance that came out of it

• "Who will Claude not kill": the durability test he ran on Exa, and why years of sweat equity is the only real moat

• Why Exa's human users are now growing faster than its agent users, which was not the founding thesis

• The ICE framework, and why he will hire someone with no dev tools experience if the raw materials are there

• The management belief he abandoned: that good sellers have to be wired like him

• How LaunchDarkly went from 18% to 54% of reps over plan, and why "70 at 70" no longer holds in AI

• Quota attainment benchmarks now: 30 to 40% is the norm, over 50% is best in class

Timestamps:

• (02:18) Welcome, and why Exa's investors kept texting Chris about Marcus

• (03:30) Why AI companies keep building sales teams in Utah

• (05:33) Why door-to-door is the most intimidating sale there is

• (06:31) His father the sales trainer, Super Target, and the date that needed a car

• (09:39) Commission only: 25 reps in June, ten by August

• (12:38) The adversity that set his risk tolerance

• (16:15) How he ended up a technical seller, and the superpower he found learning Russian

• (19:09) Seattle, Heptio, and the orchestration wars

• (21:34) Learn, earn, grow: how to pick your next company

• (24:56) Channeling his inner VC on Exa

• (28:27) Who Claude won't kill, and why the open source graveyard is the analog

• (34:54) Websites vs. the API, and humans becoming the customer

• (40:15) Signals, propensity data, and giving developers free consulting

• (43:56) The ICE framework for hiring

• (46:11) What he changed his mind about in hiring

• (48:17) The AI tools his reps actually use

• (51:55) From 18% to 54% quota attainment

• (58:38) Forward deployed engineers and doing more with fewer people

• (1:02:04) GTM mafias, and why the AI era is too early to call

About The Crew Podcast

The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew, talks to the people actually building go-to-market motions in real time, not in retrospect.

About Crew

Crew is an advisory, recruiting, investing, & media firm for seed through series C AI-natives & fast-growing SaaS startups.

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Website: https://www.withcrew.ai/

Blog: https://www.withcrew.blog/

This week Chris sits down with Darren Moffett, VP of Sales at LangChain, who spent his career building sales orgs at MuleSoft and GitLab before joining LangChain 18 months ago. Darren treats the conversation like an audit of his own first year and a half in the seat: the pricing threshold that worked until it didn't, the comp plan that had reps quietly gaming the system, and the hiring profile he had to abandon as the team scaled past 20 reps.

As someone who's now built talent-dense sales orgs at three different companies, Darren also breaks down what separates a technical seller from someone who can just talk the talk, why remote work erodes at scale, and the "SDLC for agents" framework LangChain uses to sell a category of software that barely existed two years ago. It's the version of a first-year retro founders usually only tell in private.

Discussed In This Episode

- The MuleSoft hiring philosophy: "you control who comes in the front door," and the four criteria every candidate was screened against

- Why the best litmus test for a technical seller isn't a resume line, it's whether they can demo their own current product under pressure

- The comp plan mistake that had reps steering customers toward the wrong deployment model to hit quota

- Why remote-first breaks down hardest for early-career reps, and where it still works fine

- LangChain's "SDLC for agents": build, test, deploy, manage, and why agents can't be tested the way traditional software can

- The three things he actually evaluates before joining a company, and why "the people" mattered more than the business model this time

- Why he thinks pure consumption-based pricing is coming, and why LangChain isn't rushing there yet

About The Crew Podcast
The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew (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 Crew
Crew is an advisory, recruiting, investing, & media firm for seed through series D AI-natives & fast-growing SaaS startups.

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Newsletter: https://www.withcrew.blog/

Website: https://www.withcrew.ai/

Stevie Case is the first CRO at Vanta, the trust management platform, where she's helped scale the business from roughly $20M to past $300M in ARR. Before Vanta, she spent six years at Twilio as it grew from about $200M to $3.5B in revenue and from 500 to 9,000 people, where she absorbed the Salesforce scale playbook that George Hu brought over. She got there on the least likely GTM resume in the business: the world's first female pro gamer ("KillCreek"), then level design at Ion Storm, then mobile games in LA, until a vendor offered her a junior sales job and she took it because it scared her. She's also a partner at 20Sales, Harry Stebbings' GTM-operator sub-fund at 20VC.

In this conversation, Stevie walks Chris through the two runs that defined her career and the frameworks she pulled out of them: why product-market fit is a feeling before it's a metric, the quota-to-OTE ratio she'd never hire below, and the one fundamental flaw she watched compound at Twilio that AI companies are repeating today, chasing growth while margins quietly rot underneath.

Timestamps:

(0:00) Cold open
(4:01) What competitive gaming taught her about running a revenue org
(5:04) The pivot from gaming to sales, and "why not me"
(7:33) Why most people doing something great are doing it for the first time
(8:39) Betting on grit over pedigree in hiring
(9:13) How she actually assesses for curiosity in an interview
(11:50) Product-market fit is "non-negotiable and visceral"
(13:01) Defining PMF when the word feels fluffy
(16:37) What a real PMF signal sounds like on a gong call
(17:13) The pain question at the heart of discovery
(18:54) The Salesforce playbook George Hu brought to Twilio
(20:25) Sales as a science with art as the cherry on top
(22:41) The one deep, fundamental flaw in the Twilio model
(24:52) Margin vs. growth, and the questions to ask before you join
(26:48) Why she left Twilio at its peak to join Vanta
(29:54) How to test whether a founder is truly ready to scale
(31:42) When the sales-led math actually makes sense
(33:50) The quota-to-OTE ratio she'd never go below: 4 to 1
(35:15) Attainment benchmarks: 80% at 80%, 60% at 100%
(38:50) Why pipeline doesn't just go up and to the right
(39:02) The "Hunter AE" red flag, and what healthy outbound looks like
(41:47) Moving Vanta upmarket into enterprise
(45:35) Selling compliance vs. selling Twilio up market
(47:35) Business case and ROI across segments
(49:14) The modern sales team composition, and cold calling's comeback
(50:07) Why the next generation of CROs won't be classic closers
(52:25) The one skill VPs of sales are missing to make CRO
(54:30) Building Vanta's own tools in-house with Claude Code
(56:08) The GTM teams she admires
(58:09) How she cut the filler words
(59:09) Her advice for reps who want to break into VC

About The Crew Podcast
The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew (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 Crew
Crew is an advisory, recruiting, investing, & media firm for seed through series D AI-natives & fast-growing SaaS startups.

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Newsletter: https://www.withcrew.blog/

Rafa Jara-Simkin is a Partner at Theory Ventures, the research-driven VC founded by Tomasz Tunguz. Before investing, Rafa spent nearly a decade in the GTM trenches. First, he joined Looker as employee ~25 in 2013, and rode it from ~$1M to $100M+ ARR through the Google acquisition, building and leading sales teams in New York along the way. Post-acquisition, he did a stint inside Google Cloud running strategic enterprise accounts, then joined Monte Carlo to learn a top-down, category-creation motion under Jordan and Barr. He later built an executive coaching practice before Tomasz pulled him into Theory, where he now advises portfolio founders on building their first sales teams. He's a Santa Cruz surfer, a recovering economist, and deeply interested in the inner game of leadership.

Timestamps:

• (09:23) Origin story: How Rafa fell into sales and snuck into Looker through the back door

• (13:29) The Looker rocket ship: 25 to 1,000 employees, $1M to $100M+ ARR

• (17:17) Where the Looker mafia went and what made those hires work

• (19:09) Selling to developers vs. app-layer buyers: two different personas

• (31:57) The mistakes founders keep making with their first sales hires

• (35:43) Three types of founding sales roles (including the disaster zone)

• (39:34) What's new in the portfolio: open source, inference costs, and margins

• (41:45) Why enterprise buyers now diligence your token margins

• (44:33) Theory's thesis and the app-layer "Goldilocks zone" vs. Anthropic

• (48:52) Why generic sales advice is B.S. without context

• (55:55) Executive coaching: what founders actually struggle with

• (59:37) Rapid fire: AI tools, elite GTM teams, and creative outreach

About The Crew PodcastThe Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew (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 CrewCrew is an advisory, recruiting, investing, & media firm for seed through series C AI-natives & fast-growing SaaS startups.

This episode is brought to you by the following sponsors:
Parallel

Parallel is where AI agents go to find answers. They've indexed the web from the ground up, built specifically so agents can pull accurate, low-latency, token-efficient web data. Parallel powers agents at the fastest-growing AI-native companies and the Fortune 500.

And if you sell for a living, which most of you listening do, go-to-market engineers use Parallel to run real-time monitors on their accounts, catching funding rounds, exec changes, and product launches the moment they happen. They use it to automate account research and enrichment at scale.

Get started today for free at parallel.ai

Attention

Sellers were hired to sell, not to fill in the CRM. Attention records and understands every sales call, then automatically updates your CRM, sends follow-ups, and scores reps against frameworks like MEDDIC, BANT, or your own custom methodology. Next best actions are proactively generated from there, and you get a clean pipeline, coaching on every call, and forecasting you can actually trust without asking reps for more admin. Turn your call recordings into a GTM operating layer with attention.

Try them today at attention.com

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Newsletter: https://www.withcrew.blog/

Website: https://www.withcrew.ai/

This week's episode runs Chris's usual solo listicle format, but he's not flying solo this time. Instead, he's joined by Matt Roberts, Crew's first hire and the operator running its BDR and SDR search, for a rapid-fire breakdown of the 12 things that separate the candidates who land sales offers in 2026 from the ones who sabotage themselves before crossing the finish line.

Part playbook, part reality check, this one pulls from both sides of the table: what Chris and Matt see every week placing reps and sellers at AI-native companies, and the small, high-leverage habits most candidates never think to run. As a co-founder of Crew and a former enterprise seller, Chris brings the company-side filter, while Matt brings a decade of BDR and SDR leadership and the candidate's-eye view of what actually moves a hiring manager.

Timestamps

(00:00) Cold Open: The Highest-Leverage Interview Habits, Previewed

(01:31) Welcome + Why Chris Brought a Second Voice on a "Solo" Episode

(02:22) The Premise: 12 Things Top Interviewers Do and Avoid to Land Offers in 2026

(04:06) Who Is Matt Roberts: Bartending in Santa Barbara to Crew's First Hire

(09:54) #1 Respond Back Fast: Why Speed Is the Number One Tell

(14:07) #2 Send the Thank-You: The Lost Art and How to Write One That Lands

(16:23) #3 Bring the Right Energy: The Developer-Sales Advice That Backfired

(21:21) #4 Show That You Want It: Telling a Company They're Your Number One

(24:41) #5 "Tell Me About Yourself" in 90 Seconds or Less

(28:00) #6 Be Structured: The Consulting Trick That Makes You Sound Sharper

(30:07) #7 Stack the Cards in Your Favor: Make the Case Study Easy Mode

(32:35) #8 Do the Job Before You Have the Job: Prospect and Multi-Thread the Loop

(36:54) #9 Optimize for Curiosity, Not for Proving You're Smart

(42:14) #10 Negotiate, But Don't Over-Negotiate: How Offers Get Pulled at the Finish Line

(47:20) #11 Don't Bash Companies: What It Signals About Your Resilience

(49:33) #12 Use Multiple Offers as Leverage Without Playing Hard to Get

(52:48) Wrap: Weekly Episodes, the GTM Tweet Format, and Pedal in SF + NYC

About The Crew Podcast
The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew (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 Crew
Crew is an advisory, recruiting, investing, & media firm for seed through series C AI-natives & fast-growing SaaS startups.

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Newsletter: https://www.vibescaling.blog/

Website: https://www.withcrew.ai/

Nick Bogaty is the CRO at Vercel, and he got there on one of the least linear paths in enterprise software. He spent roughly a decade in open source, including helping create the book file-format standard behind modern e-readers, and then ran product teams at Adobe. He moved into go-to-market at App Dynamics, first running post-sales, then stepping into the CRO seat after the company's acquisition by Cisco, where he helped scale the business from roughly $120M to $700M in ARR. It was at App Dynamics, that a self-described product guy (and history major) fell in love with the craft of sales. After a few CRO runs, he landed at Vercel six months ago to help answer the two questions he cares most about: how people will design, and how people will build, in the AI era.

Discussed In This Episode

The non-linear path from open-source product guy to enterprise CRO

The App Dynamics SKO that made him fall in love with sales

The "value pyramid": why great sellers talk about the customer's company, not their own

How App Dynamics scaled from $120M to $700M ARR without the best product

The operational cadence behind predictable pipeline (and why two customer meetings a day is the floor)

"Show me the receipts" and how to test whether a candidate drove the growth or rode the wave

The coachability red flag he watches for in the first interview

Why he joined Vercel: how people will design and build in the AI era

Signal-based GTM and turning plug motion and open-source momentum into enterprise deals

Building Athena, Vercel's homegrown GTM engine

Why the most creative way into a company is to build something and show it

Timestamps

(0:00) From product guy to CRO: Nick's non-linear path

(4:31) The App Dynamics SKO that converted him to sales

(6:53) The value pyramid: make it about their company, not yours

(10:48) The operational cadence behind $120M → $700M ARR

(12:16) Winning enterprise with the 4th-best product

(14:24) "Do you have a mole in my company?"

(17:20) The hardest part of sales: discipline

(18:04) Why Nick joined Vercel: how we'll design and build next

(21:03) Adobe's font team and why taste now wins

(24:24) Collapsing GTM headcount with AI agents

(26:50) Was it the rep, or the rocket ship?

(29:30) "Show me the receipts"

(33:42) Selling the mission to someone who isn't looking

(35:32) The coachability test in every first interview

(37:39) Weekend warriors and signal-based GTM

(39:23) Turning ground-up momentum into enterprise deals

(41:18) Usage vs. commitment in a consumption world

(43:56) The sales team Nick admires most: Datadog

(45:36) Building Athena: Vercel's homegrown GTM engine

(47:45) The most creative way to get a sales team's attention

About The Crew Podcast

The Crew podcast interviews GTM leaders and investors at top AI startups and early-stage companies.

Every week, host Chris Balestras, partner @ Crew (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 Crew
Crew is an advisory, recruiting, investing, & media firm for seed through series C AI-natives & fast-growing SaaS startups.

Where to Find Crew

LinkedIn: https://www.linkedin.com/company/crewgtm

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

Newsletter: https://www.withcrew.blog/

Website: https://www.withcrew.ai/