20Sales: Inside Figma's $1BN ARR Revenue Machine | Why We Do Not Have Customer Success or SDRs | Why I Do Not Believe in Sales Quotas with Shaunt Voskanian, CRO @ Figma
Episode
62 min
Read time
3 min
Topics
Career Growth, Health & Wellness, Relationships
AI-Generated Summary
Key Takeaways
- ✓PLG-to-SLG Transition: Figma's mid-market and enterprise motion is now majority outbound, but into existing customers rather than cold prospects. Reps map each account's current Figma usage against an ideal deployment state, then proactively pursue new champions and executive buyers to close that gap. This "expansion as new business" model requires the same strategic hunting skills as traditional enterprise sales, not reactive account management.
- ✓Quota Philosophy — 3-4x OTE: Figma sets enterprise quotas at roughly three to four times OTE, deliberately below industry norms. The rationale: strategic outbound work into complex accounts requires experienced reps, and that talent pool is smaller. Favorable quotas attract and retain those people. Voskanian argues that stacking quota coverage to hit a revenue target is a false safety net that has no reliable relationship to actual outcomes.
- ✓No CS, No SDRs — AEs Own Everything: Figma eliminated traditional Customer Success and SDR functions. AEs in mid-market and above own pipeline generation, discovery, expansion, and deal management. The remaining SDR resource handles small transactional renewals to free strategic AEs for higher-value work. The core principle: if a role cannot demonstrate clear incremental value isolated from AE activity, consolidate it rather than maintain it for structural familiarity.
- ✓Performance Framework — Behaviors Over Quota Attainment: Figma evaluates reps across three buckets: results (including but not limited to quota), behaviors (collaboration, growth mindset, attitude), and competencies (pipeline generation, discovery quality, MEDDIC execution, methodology adherence). Quota attainment alone is treated as a lagging indicator. Leaders are expected to diagnose underperformance through competency gaps, not simply move people out for missing a number.
- ✓Hiring Signal — Job Tenure and Mercenary Mindset: Voskanian flags candidates with repeated 12-to-18-month tenures as a consistent risk indicator at scale. A stronger disqualifier is candidates who lead with compensation maximization over career growth and learning. His observation: the highest earners he has managed historically prioritized skill development first, and compensation followed. Interview process includes a discovery-plus-demo exercise weighted heavily toward how candidates conduct qualification.
What It Covers
Figma CRO Shaunt Voskanian explains how the company scaled to $1B ARR without traditional CS teams or SDRs, running a majority-outbound sales motion into an existing 500,000+ customer base. He covers quota philosophy, rep hiring criteria, performance frameworks built around behaviors and competencies, and when to specialize sales teams.
Key Questions Answered
- •PLG-to-SLG Transition: Figma's mid-market and enterprise motion is now majority outbound, but into existing customers rather than cold prospects. Reps map each account's current Figma usage against an ideal deployment state, then proactively pursue new champions and executive buyers to close that gap. This "expansion as new business" model requires the same strategic hunting skills as traditional enterprise sales, not reactive account management.
- •Quota Philosophy — 3-4x OTE: Figma sets enterprise quotas at roughly three to four times OTE, deliberately below industry norms. The rationale: strategic outbound work into complex accounts requires experienced reps, and that talent pool is smaller. Favorable quotas attract and retain those people. Voskanian argues that stacking quota coverage to hit a revenue target is a false safety net that has no reliable relationship to actual outcomes.
- •No CS, No SDRs — AEs Own Everything: Figma eliminated traditional Customer Success and SDR functions. AEs in mid-market and above own pipeline generation, discovery, expansion, and deal management. The remaining SDR resource handles small transactional renewals to free strategic AEs for higher-value work. The core principle: if a role cannot demonstrate clear incremental value isolated from AE activity, consolidate it rather than maintain it for structural familiarity.
- •Performance Framework — Behaviors Over Quota Attainment: Figma evaluates reps across three buckets: results (including but not limited to quota), behaviors (collaboration, growth mindset, attitude), and competencies (pipeline generation, discovery quality, MEDDIC execution, methodology adherence). Quota attainment alone is treated as a lagging indicator. Leaders are expected to diagnose underperformance through competency gaps, not simply move people out for missing a number.
- •Hiring Signal — Job Tenure and Mercenary Mindset: Voskanian flags candidates with repeated 12-to-18-month tenures as a consistent risk indicator at scale. A stronger disqualifier is candidates who lead with compensation maximization over career growth and learning. His observation: the highest earners he has managed historically prioritized skill development first, and compensation followed. Interview process includes a discovery-plus-demo exercise weighted heavily toward how candidates conduct qualification.
- •Specialization Timing — Segment by Motion, Not Just Industry: Figma has not built industry-vertical sales teams but has created specialization around sales motion and persona. SMB covers zero-to-500-employee accounts with a PLG upgrade motion; mid-market through strategic runs a fully sales-led outbound model. The trigger for adding specialization is when a single rep's scope becomes too broad to execute any one motion with quality — overlay teams and segment splits follow from that diagnosis.
Notable Moment
Voskanian reveals that Figma's sales team of roughly 300 quota-carrying reps covers 500,000-plus customers — a ratio most sales leaders would consider impossible. Rather than treating this as a ceiling, he is actively pushing leadership to add headcount, arguing the team is already operating at maximum efficiency and further strategic coverage will unlock more revenue.
Episode Transcript
We don't actually have a traditional CS team. We also don't have traditional SDRs. My perspective is quotas are kinda made up. An average enterprise rep here might have three to four x their OTE for a quota. Focus and specialization as early as possible. This is 20 sales with me, Harry Stebbings. Now 20 sales is the monthly show where we sit down with the best sales leaders to unpack how they hire, train, and retain the best sales talent. Today, we have Sean Boscanian joining us in the hot seat. Sean is the CRO, chief revenue officer at Figma, where we discuss how to build a sales machine on top of a PLG motion. But before we dive into the show today, a quick shout out to a company I've been genuinely blown away by and have been tracking closely, ROX. I've been watching this team closely and the speed they're operating at and the level of applied AI talent they've assembled, it's honestly remarkable. ROX is pioneering revenue agents for the global 2,000 plugged into your data warehouse and CRM and delivering board level ROI in just ninety days. These sales and revenue agents handle the end to end sales process for large enterprises from research prep to deal risk, outreach, and opportunity management. So sellers spend more time with customers and less time in tools. This isn't another productivity app. Christ, we've all had enough of those. Rocks gives reps a single interface on top of their GTM stack powered by a knowledge graph across your internal and external data. So if you wanna boost AE productivity, increase revenue per rep, and consolidate your stack, try ROX at rox.com slash sign up. And speaking of great companies, we have to talk about Monaco. For years, I've watched some of the best founders and early go to market teams struggle much manual work. Well, that changes with Monaco. Monaco replaces your legacy CRM and fragmented sales stack with a single AI native platform. Monaco's agents automatically build and score your Monaco's agents automatically build and score your entire TAM, lay it in real time signals, create and run outbound sequences, schedule calls, and record and transcribe meetings. Your pipeline practically manages itself. Monaco creates reminders, draws follow-up emails for you, and keeps deals moving forward. So that means more meetings, higher conversion rates, and faster revenue growth. If you're an early stage startup, tired of duct taping sales tools together and looking to grow revenue faster, check out Monaco at monaco.com. While Monaco runs your sales pipeline, Framer runs your website. A website should help your business grow, not slow it down. If updates to your.com feel harder than they should, Framer is the shortcut you've been looking for. Framer is an enterprise grade, no code website builder that works like your team's favorite design tool, and it's used by companies like Perplexity, Miro, Mixpanel to move faster. Designers and marketers can fully own the site with …
Get the full transcript (12,591 words) + summary by email — free
One-time email with the complete transcript and AI summary of this episode. No account needed.
One email, no spam. We’ll also show you what SignalCast does.
You just read a 3-minute summary of a 59-minute episode.
Get 20VC (20 Minute VC) summarized like this every Monday — plus up to 2 more podcasts, free.
Pick Your Podcasts — FreeKeep Reading
More from 20VC (20 Minute VC)
20VC: 70% of Neolabs Will Die | There Will be a $100BN US Open-Source Model | Data is a Trillion $ Market | Governments Cannot Regulate Models: It is Too Late | The Cyber Attacks to Come Will be Insane with Anastasios Angelopoulos @ Arena
Aug 3 · 64 min
This Week in Startups
How to Make Billions from Exposing Fraud | E2234
Jan 13
More from 20VC (20 Minute VC)
20VC: The Best AI Companies Have Unique Data Acquisition Strategies | Will Simile Kill Kalshi, Polymarkets and NASDAQ | How to Sign Fortune 500 Companies As Customers in Weeks with Joon Sung Park, Simile
Aug 1 · 63 min
a16z Podcast
Outsmarting Uber: Why Bolt Wins in Europe
Jul 2
Books, tools, and gear mentioned in this episode
SignalCast may earn commission on purchases via these links.
Tools
“💼 SPONSORS [{"name": "Monaco", "url": "https://monaco.com"}”
“💼 SPONSORS [{"name": "Framer", "url": "https://framer.com/20vc"}”
“Figma CRO Shaunt Voskanian explains how the company scaled to $1B ARR without traditional CS teams or SDRs, running a majority-outbound sales motion into an existing 500,000+ customer base.”
“💼 SPONSORS [{"name": "Rox", "url": "https://rox.com/sign-up"}”
More from 20VC (20 Minute VC)
We summarize every new episode. Want them in your inbox?
20VC: 70% of Neolabs Will Die | There Will be a $100BN US Open-Source Model | Data is a Trillion $ Market | Governments Cannot Regulate Models: It is Too Late | The Cyber Attacks to Come Will be Insane with Anastasios Angelopoulos @ Arena
20VC: The Best AI Companies Have Unique Data Acquisition Strategies | Will Simile Kill Kalshi, Polymarkets and NASDAQ | How to Sign Fortune 500 Companies As Customers in Weeks with Joon Sung Park, Simile
20VC: Jensen's Open-Weights Letter | Travis Kalanick Raises $1.7B for Atoms | Google Cloud Grows 82% But The Market Tanks | Francisco Partners Raises $21BN | Etched Raises $300M to Take on Nvidia
20VC: Leading Anthropic's First Ever Round | Will Open Source Threaten Anthropic's Business | Do Margins Matter in a World of AI | Why Triple, Triple, Double, Double is Not Good Enough Today | Why Series A is Hard Today with Matt Murphy @ Menlo
20VC: Mercor CPO on Revenue Concentration from Frontier Labs | Why Large Enterprise is Scared to Partner with Frontier Labs | Why Small Specialised Models is the Future with Osvald Nitski
Similar Episodes
Related episodes from other podcasts
This Week in Startups
Jan 13
How to Make Billions from Exposing Fraud | E2234
a16z Podcast
Jul 2
Outsmarting Uber: Why Bolt Wins in Europe
The TWIML AI Podcast
Jun 9
Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769
Eye on AI
Jun 6
Every Enterprise Is About to Have a 100,000 Agent Problem | Oren Michaels of Barndoor AI
Latent Space
May 20
Railway: The Agent-Native Cloud — Jake Cooper
Explore Related Topics
This podcast is featured in Best Investing Podcasts (2026) — ranked and reviewed with AI summaries.
Read this week's Health & Longevity Podcast Insights — cross-podcast analysis updated weekly.
You're clearly into 20VC (20 Minute VC).
Every Monday, we deliver AI summaries of the latest episodes from 20VC (20 Minute VC) and 192+ other podcasts. Free for one show.
Start My Monday DigestNo credit card · Unsubscribe anytime