New episode on the Vibescaling Podcast, Eleanor Dorfman!

Eleanor has landed at a few of the GTM mafias we've written about - Segment → Retool → Anthropic, a storied career thus far & she was a guest that I've wanted to have on for quite a while.

Even more so now with Anthropic being the hottest AI company on the planet right now.

We went deep on:
- how she thinks about career moves as "pivoting on one foot"
- why founders over-index on "technical enough" when hiring AEs (and what they actually mean)
- how Anthropic reps are using Claude Code to be AI-native sellers & dogfood their own product
- how her sales leadership roles differs dramatically at Anthropic vs. that of Retool & Segment
- & many more topics on the intersection of startups/sales/AI

Also got her Mount Rushmore of NYC restaurants & we agreed on why UVA is the best school in the US.

Hope you all enjoy it!

See below for past and future guests:

Some of our previous guests:

Some of our future guests for Season One:

And many more in the pipeline - if you know any good leaders who fit this, shoot me a DM on LI or reply to this email. We’ll keep openings rolling and be super open to suggestions for similar guests.

We film in-person in SF & NYC at legit podcast studios and have hired a new post-production agency, so the quality will be high - see below for a snippet in-studio behind the scenes.

Interviewing the awesome Ghazi Masood, CRO @ Replit, in our NYC studio in February

Links To Sections

Eleanor’s Background

Eleanor Dorfman is the Head of Industries at Anthropic, where she leads enterprise go-to-market for Claude at the epicenter of the AI revolution.

Before Anthropic, Eleanor built and scaled GTM teams at some of the most talent-dense companies of the last decade. She started her career at Clever (where she turned multiple rejections into an eventual yes through sheer conviction and follow-through), moved to Segment, where she transitioned from customer success into sales and built the expansion motion, and then joined Retool as an early sales leader, helping scale the org through hypergrowth.

She also advises early-stage companies and has worked closely with venture firms like Thrive Capital giving her a front-row seat to how breakout startups are built and how early GTM hires play a mission-critical role in either accelerating or stalling that trajectory.

Interesting Takeaways

Careers are a jungle gym, not a ladder - but you can only pivot on one foot. Eleanor's framework: each move should be close enough to what you've already done that it's credible, but different enough that it expands your optionality. She used education to get into Clever, Clever to get into infrastructure/dev tooling, and dev tooling to get into AI. Each move unlocked the next one.

For the top opps, you might get rejected a few times before getting in. Eleanor got rejected three times from Clever before eventually offering to work for free. Anthropic has hired people on their third or fourth attempt at a different role. The pattern: role, candidate, and timing all have to align. If the timing is off, stay in the game and keep showing up thoughtfully.

"Not technical enough" is a lazy rejection and usually means something else. It's an easy button. What founders usually mean: the candidate is too salesy for a developer audience, not curious enough, or intimidated by the product. Eleanor's preferred version: can they read the room, understand why the problem is hard, and work hand-in-hand with a product team? That's the actual bar.

The ego check is the real filter. The candidates who don't make it aren't always missing skills. They're missing self-awareness. Too many "I" statements. Comp questions in round one. No sense of the gravity of representing someone's life's work. The ones who get in understand that their ego has no place at a company working on something bigger than all of them.

Claude is already the best boss on some sales teams. Eleanor's reps have Claude Projects loaded with every Slack message, call transcript, and Salesforce note for every deal. They literally have conversations with Claude about how to move the deal forward. One rep takes discovery call transcripts and builds working app prototypes in Claude Code within an hour - no SE involved. The sellers who figure this out are operating at a completely different level.

Throw out "productive capacity." The only metric that matters right now is learning speed. Eleanor isn't running the traditional SaaS playbook at Anthropic — no capacity models, no funnel math, no ramp expectations baked into headcount plans. The question is: are we finding sparks of repeatability, and when we find them, are we doubling down fast enough? 51% conviction plus two-way door equals just go try it.

Learning or earning - you don't always have to pick. The usual career framework forces a tradeoff: early on you optimize for learning, later for earning. Eleanor's case for Anthropic: it's one of the rare moments where you can do both at the same time, in a values-aligned company, surrounded by people you'd follow anywhere. Those windows don't stay open long.

Automation made the human touch more valuable, not less. Outbound sequences worked for a couple years when buyers didn't know what was happening. Now the trust bar is higher than ever. The reps winning right now are doing things that don't scale - deeply personalized outreach, real relationships, showing up with a point of view. The steak dinner never actually went away.

Discussed In This Episode

  • Why careers are a jungle gym, not a ladder - and how to pivot on "one foot"

  • Getting rejected (and rejected again) - and why persistence + conviction still win

  • The moment Eleanor realized sales was about energy, not personality

  • What makes a seller truly AI-native and how top reps are using Claude today

  • How to use Claude Code to build live prototypes - and why you may no longer need your sales engineer

  • Why "not technical enough" is often a lazy hiring critique

  • The curiosity test: the one interview question that flipped her from "no" to "yes"

  • Why early startup hires require a founder mentality

  • The "ego death" principle and how ego hinders hypergrowth

  • Why she doesn't care about "productive capacity" in the AI era

  • Learning vs. earning vs. values - and the difference between Anthropic and other AI-natives

  • Why Anthropic is enterprise-first and what that means for sellers

Timestamps

(00:00) From paralegal to public education to startup life

(05:10) Rejected three times by Clever and why she kept coming back

(11:30) Transitioning from customer success into sales at Segment

(16:45) Building the expansion sales motion and falling in love with sales

(24:46) Retool, hypergrowth, and scaling GTM in developer tooling

(29:30) How to break into an AI lab (and what actually gets a recruiter’s attention)

(32:09) Ego death, ownership, and what real commitment looks like

(39:00) The myth of “not technical enough” in early GTM hiring

(42:43) Claude’s personality: designed, not accidental

(44:30) How top reps use Claude Code to build live demos mid-cycle

(45:11) Managing in the AI era: throw out productive capacity, optimize for learning

(52:24) Why Join Anthropic

(58:26) Learning, earning, values and how to play for “the front of the jersey”

Thanks for tuning in!

If you enjoy it, please give us a rating, review, or follow on Spotify/YouTube/Apple Podcasts - it really helps us grow this.

For those who are new, my name is Chris Balestras, partner @ Vibescaling - a GTM advisory, recruiting, media, and investing firm, working with seed through series C AI-natives to help them grow.

Where to find Vibescaling:

We work with many of the hottest AI-native startups in various capacities, and for those who are interested, shoot me an email at [email protected] or a DM on LI.

🫡 cheers,

Chris

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