Why Product Love Doesn't Close Deals w/ Simran Duggal, VP of Sales @ Juicebox

Simran Duggal is the VP of Sales at Juicebox, the AI-native recruiting platform recently valued at $850M, backed by Sequoia and other top firms. She leads GTM across three functions and 18 direct reports, and Juicebox now serves 5,500+ customers spanning VC-backed tech, staffing and recruiting agencies, retail, manufacturing, and the Fortune 100.

She got into sales by accident, then chose it on purpose. A founder-track master's at Waterloo (Business, Entrepreneurship & Technology) put her in rooms with brilliant early-stage technologists who had no idea how to commercialize. They had conviction, but pointed in the wrong ways. She realized connecting a product to a market was the rarer craft, and that her path to building companies would run through sales.

That kicked off a decade in SaaS. After honing her craft in enterprise B2B, she went looking for a two-engine company, PLG plus sales-led, and joined Webflow as one of its early enterprise reps, back when there was no segmentation at all. Five years later she had helped build the enterprise motion on top of a product-led base and watched the org become a GTM talent factory.

On her second mat leave in April 2025, she popped her head up three weeks in and the whole landscape had changed. Every CEO was asking their org for an AI roadmap. Her read: in a world where everyone has the same tools, your people are your single biggest competitive advantage. That thesis took her to an AI-native company selling into the talent market itself.

Webflow had deep product love. That love created a trap: for a long time, the team was pitching an expanded enterprise experience to users who had never bought software in their lives, people who loved the product but had never put their neck on the line for a purchase.

The result: "we were potentially inflating the kind of pipeline we were building," making it feel like everyone wanted the enterprise experience. They'd get to price tag and commercials, and it just didn't land.

The fix was a signal shift. Stop chasing enthusiasm, start reading product signals (are they using you in a bigger way?) and external signals: launching a new product, entering a new market, a new VP of Marketing looking to make a splash. Usage is a starting point. The buying trigger lives in the business.

Not AI fluency. Not product knowledge. "The number one trait that sellers need to hone in on is mental resiliency. Can you stay through a change cycle?"

Her screen for it is the chronological interview: walk your whole career, and she's reading for the why behind every move. One bad jump is fine, we've all been sold a dream. But is it a pattern? Did a recruiter stroke your ego, you skipped the diligence, it didn't work out, and then you did it again?

The tell she wants: did you close the loop and learn something about yourself? A coach once told her, "make sure you're running toward something, not away from something." She's kept it ever since, and she's looking for the same in every candidate.

Juicebox runs a 30-minute mock discovery with Simran plus four AEs on the line, and candidates find it more nerve-wracking than the real thing. That's by design.

She's testing two things: can you stay steady, and can you pull me back? She will absolutely bait candidates down weird rabbit holes and drop a compelling event to see if they grab it. She doesn't care if you know every feature. She cares whether you've internalized the value.

But the part that actually decides it is the feedback round after. Self-feedback first (bombed it and can't own it? low self-awareness), then the panel gives theirs and watches how you take it. Opinionated is fine, she'd love for you to test your own message in market. Defensive is fatal: "we're a very low ego environment, and we don't have the time." Her favorite recent example of what not to do: a candidate who explained a choice with "well, Claude told me to do that." If you're an enterprise seller, show up and show your craft.

Simran thinks of team building as "a living, breathing thing, always requiring something different." She doesn't hire against a static profile of good. She hires against what the team is missing.

The logic: hiring solid across-the-board people caps the ceiling of what good looks like. Hiring "pockets of greatness" elevates everybody and keeps raising the bar.

Her shortcut question: "what's your edge?" Then she hunts for it through the whole process. Most-sourced rev on the team? Prove how. Built GTM tooling? Show it solved a real problem, not just cool shit. Sellers are good at selling themselves, so the self-proclaimed edge has to survive contact.

Her freshest hiring move at Juicebox: running an agent-first search with no title at all. Hiring for a GTM strategy role, she told her talent partner to skip "GTM Strategy" as a filter entirely. Instead: have they been somewhere that went Series B to D? Have they worked across PM and enablement? Experiences and trajectories, not job titles.

It's the same shift she saw at a dinner with talent leaders from some of the best companies in AI: "they felt like executives in the business." Less "who are we landing," more "where is this business going, what's the shape of it, and how do people fit into that." Companies are rethinking what it even means to be a PM or a finance manager, and the search has to change with it.

The takeaway for anyone hiring: the old filters (years of experience, location, industry) find you the obvious candidates. The nuanced search finds the execution layer.

(0:00) Background: from Waterloo's founder track to sales
(4:34) Founder mistakes: conviction pointed the wrong way
(5:31) Webflow: joining as an early enterprise rep
(6:22) Two-engine companies: why she wanted PLG + sales
(7:27) The downside of selling on a PLG base
(10:30) User vs. buyer: what Webflow got wrong
(11:57) Marketers vs. developers: the art of vision casting
(15:46) Webflow as a GTM talent factory
(19:28) Hiring spikes: elevate everybody, raise the bar
(20:58) The number one trait: mental resiliency
(23:18) The mock discovery call
(24:52) The feedback round that decides it
(27:14) Reading a career: running toward vs. away
(28:42) Leaving Webflow, betting on AI-native
(33:06) Why recruiting: the Juicebox thesis on people
(40:24) Talent leaders as business strategists
(43:33) Outbound that works: pick up the phone
(46:24) The AI tools she can't work without
(50:05) The sales advice Simran thinks is dead
(51:42) How to actually get Simran's attention