Shaunt Voskanian on Figma’s Sales Motion, Quotas and Coaching

Figma’s chief revenue officer explains how self-service adoption connects to enterprise sales, and why quota targets are only one part of evaluating a representative.

SVShaunt VoskanianGuest · Chief Revenue Officer
Channel
20VC with Harry Stebbings
Published
Mar 21, 2026
Video
1:05:06
Read
10 min
Original
English
Open on YouTube
Scroll to read and the video shrinks to the bottom-right corner. Captions follow your reading language.
Reading languageAvailable in 2 languages
You're reading the original English.
SUMMARY

In 30 seconds

Figma CRO Shaunt Voskanian talks with Harry Stebbings about selling into existing customers, segmentation, hiring, onboarding and sales performance. He clarifies that Figma uses quotas, but argues that coverage alone does not ensure results; his company figures and product assessments are his own account as a Figma executive.

  1. 1Outbound to existing customersVoskanian says much of the team’s outbound work targets companies already using Figma; he does not say all company business is outbound.
  2. 2Retention and pricingHe reports net revenue retention increasing from 131% to 136% and says AI credits were planned; that is not the same metric as total revenue growth.
  3. 3Quotas still existFigma uses quotas, but Voskanian argues total quota coverage can give a false sense of security about a company target.
  4. 4A segment-specific ratioHe estimates an average enterprise quota of three to four times on-target earnings, intentionally reflecting demanding strategic work.
  5. 5Look beyond the lagging numberHis framework includes results alongside specific competencies and behaviors; quota remains part of the results bucket.
  6. 6Specialize for the workHe favors focus early but says industry verticals depend on the product; Figma instead uses segments, personas and overlays.

Takeaways

  1. Voskanian says Figma’s sales team often develops opportunities within an existing self-service customer base.
  2. Figma uses quotas; his objection is to assuming that assigned quota coverage guarantees a company target.
  3. He reports an approximate three-to-four-times on-target-earnings quota for an average enterprise representative, not a universal benchmark.
  4. Hiring and onboarding should reflect the specific job, and managers should examine coaching and context when someone struggles.
  5. He describes performance as a combination of results, behaviors and competencies rather than quota alone.
  6. His comments on Figma’s retention, headcount, products and plans are company-executive accounts, not independently verified outcomes.
FULL TEXT

Read the edited text by chapter

Transcript only
01

From selling phones to enterprise sales

Voskanian describes his entry into sales and the balance between curiosity and useful advice. He explains how Figma’s self-service adoption evolved into a larger commercial motion.

Figma chief revenue officer Shaunt Voskanian joins Harry Stebbings to discuss building a sales organization around a product that many customers initially adopt themselves. His descriptions of Figma’s performance, products and staffing are the company executive’s account; his hiring and compensation advice is his perspective, shaped by that business.

Voskanian says he entered sales by accident, taking a summer job at a mobile-phone kiosk while studying advertising. Given a few pamphlets and little instruction, he had to work out how to help customers. Looking back, his first advice to that younger salesperson would be to stay curious about each buyer’s situation.

Stebbings asks whether busy customers have time for discovery. Voskanian says good enterprise sellers must combine curiosity with a prescriptive point of view: bring relevant insights from other customers, but also learn enough to understand the buyer’s circumstances. He sees the balance as a skill rather than a choice between preparation and questions.

Figma’s early adoption, he says, often began with someone purchasing a few licenses online and sharing the product internally. When he joined, sales largely responded to existing self-service customers and upgraded them to higher tiers. He estimates the company’s scale at that time approximately and does not provide a precise financial period or metric.

Today, Voskanian says Figma serves several customer segments and that much of the sales team’s work, particularly in larger accounts, is outbound. He clarifies that this does not mean all company business is outbound: representatives often approach existing users with ideas for expanding use. His account reflects Figma’s particular customer base, not a universal rule for product-led companies.

Figma does not have a traditional customer-success team, according to Voskanian. He says many users made their own decisions about value, while the commercial team sees opportunities to educate them on additional uses. He characterizes that work as a hunting motion that can involve building new champions and reaching economic buyers.

Asked whether expansion means more users or more products, he says both, with somewhat more emphasis at the time on new products and new personas. For platform sales, he recommends understanding where the customer wants to go and honestly identifying where the offering delivers value compared with an alternative. His product claims come from a Figma executive.

02

Pricing, development roles and specialization

He discusses retention and a planned AI credit model, then explains why Figma does not have traditional customer-success or sales-development teams. Its segmentation reflects Figma’s own customer base.

On seat-based pricing, Voskanian says he has not seen evidence in Figma’s business that it is dead, while admitting the long-term outcome is hard to predict. He cites net revenue retention rising from 131% to 136% and says AI credits were about to be introduced. Those are his reported company figures and plans; retention is not a measure of total revenue growth.

Stebbings argues that a seat model may face different pressure in customer support if software replaces labor. Voskanian agrees the distinction is plausible but says he does not know those other businesses as well. He limits his observation to Figma’s customers rather than declaring one pricing model suitable for every category.

Figma also lacks traditional sales-development representatives, Voskanian says, though it uses related resources and continues to adjust their work. He believes account executives must generate their own pipeline. The challenge is to define the incremental contribution of a separate development role, especially when the main opportunity is expansion within existing customers.

He says the company has experimented with development staff supporting account expansion and more recently with handling smaller transactional renewals so strategic account executives can focus. He also sees the role as a potential talent pipeline. This is a changing allocation of duties, not a claim that development work has disappeared.

When Voskanian arrived, account executives and account managers served mid-market and enterprise customers with similar upgrade and support work. He argues that a representative asked to do too many different jobs struggles to excel at all of them. Figma therefore separated the motions according to customer size and the work required.

He describes three motions: online self-service; a product-led sales motion focused on small and medium businesses, which Figma defines here as organizations with up to 500 employees; and sales-led mid-market, enterprise and strategic accounts. The segmentation is Figma’s internal operating model, not a standard definition used by every company.

03

Expansion and the purpose of quotas

Voskanian explains outreach, champions and larger account planning. He clarifies that Figma uses quotas but does not believe quota coverage alone guarantees results.

Asked when to contact a self-service customer, Voskanian prefers a little early to a little late, because even a promising product signal may require several conversations before an upgrade. He says timing depends on usage, product features and customer maturity rather than one universal trigger. His team sometimes loses an upgrade and wins it months later.

For larger accounts, representatives map the organization, develop a view of what a broader deployment might look like and identify the gap with current use. They create opportunities, build champions and run regular pipeline and forecast reviews. Although the accounts may already be customers, he says the work resembles a traditional new-business sales process.

To build a champion, Voskanian recommends offering an insight relevant to that person’s work and helping the team improve, rather than relying only on enthusiasm for a product. The customer needs a reason to advocate for a change internally. He describes this as part of a consultative relationship.

Voskanian calls quotas partly “made up,” but quickly clarifies that Figma does use them. His objection is to treating the total quota assigned to representatives as proof that the company’s target is de-risked. In his view, quotas should express the work needed and how the business wants to reward it, and the right approach varies with the sales motion.

In an early, high-demand product-led motion, the work may be closer to helping customers use and expand a product they already want; he says it still has challenges. In strategic enterprise sales, representatives must generate opportunities, work across stakeholders and bring business insight. He argues that different work requires different compensation and efficiency assumptions.

Voskanian says Figma’s average enterprise representative might carry a quota roughly three to four times on-target earnings, intentionally allowing a relatively attainable target for demanding strategic work. This is his approximate description for that segment at the time, not a company-wide ratio, achieved revenue figure or a general benchmark.

04

Hiring, coaching and growing the team

He describes hiring preferences, exercises and the difficulty of judging candidates. He discusses coaching, team size and Figma’s plans as his own account.

If forced to choose between sector expertise and experience managing a large deal, he favors the latter, provided the candidate actually handled complex sales rather than benefiting from an unusually easy win. He believes a curious person can learn an industry, while building confidence across stakeholders and long sales cycles can take time.

In hiring, Voskanian says a pattern of very short tenures makes him cautious, while recognizing that people can leave jobs for many reasons and others disagree with him. He looks for perseverance and a willingness to learn, but admits these are hard to establish in an interview. These are his hiring preferences, not a reliable judgment about any individual candidate.

Figma’s interview exercise asks candidates to study a case, lead a discovery conversation and demonstrate a short product workflow. Voskanian pays particular attention to the questions and discovery, while keeping a product element to see whether a candidate invested effort in learning. He acknowledges that a polished demo is difficult after only a few days with a product.

He values references outside the formal interview process and looks for genuine interest at offer stage. He says he does not assume that negotiating is a bad sign and respects candidates exploring multiple options, but is cautious when someone still appears uncommitted at the end. His observations about past hires do not establish that negotiation or job changes predict performance.

Asked whether to hire quickly or miss a hiring plan, he prefers taking longer to avoid a candidate the team does not believe in. At the same time, he says even a strong selection process cannot perfectly predict performance. The work continues after hiring through management, enablement and a fair chance to improve.

He recalls a former colleague placed on a performance plan who improved with coaching and later earned promotions. Voskanian uses the example to argue that a struggling representative may have potential if the manager identifies the gaps and supplies support. One anecdote does not prove how often a performance plan succeeds.

He estimates his wider Figma organization is approaching 500 people, including supporting roles, and gives approximate figures for customers and quota-carrying representatives. He says he expects to invest in more sales headcount to support strategic work, but explicitly notes that Figma’s situation may differ from other companies. These are approximations and plans, not a hiring guarantee.

For hiring mistakes, he distinguishes a desire for career growth from a narrow focus on immediate personal reward. He says some of the strongest earners he has known concentrated first on learning and development. This is his interpretation of his experience, not a general finding that candidates who negotiate pay will perform worse.

05

Onboarding, sales tools and performance

Voskanian describes a revised training program and admits information and agent-training gaps. He explains how results, behaviors and competencies all enter performance management.

On onboarding, he says there is no perfect reusable formula: the plan should match what a representative needs to do. A small-business seller handling upgrades may need different preparation from a strategic representative with one or two large accounts. He starts by defining the skills the role actually requires.

For a strategic hire, Voskanian wants early exposure to accounts and customer conversations before a more formal onboarding program. The seller can begin learning the customer’s business and building relationships while getting established. He says Figma was rebuilding its program and moving toward in-person classroom training at the time of the interview.

The planned training covers the product, market landscape, positioning, customer examples and sales process, followed by continued updates as products and competitors change. Voskanian says the team uses an enablement platform, Slack, meetings and other systems. He candidly acknowledges that information is scattered and search and synchronization need improvement.

Asked whether execution has crowded out attention to sales technology, he says he worries that it has. He wants tools to reduce friction such as duplicate data entry, but admits he is not personally an expert in training agents and does not know whether the team has all the necessary skills. His response is to explore and acquire expertise where needed.

His provocative view on performance is that hitting quota alone is not enough to understand a representative’s work. Quotas can be set too high or too low, and results may lag the activity of a strategic account. He fears that judging only the number can encourage managers to avoid examining what actually happened.

Figma’s performance framework, as he describes it, still includes results and quota alongside behaviors and competencies. He cites pipeline generation, discovery and pipeline management as capabilities, and collaboration and growth as behaviors. Stebbings presses him to make the categories concrete rather than reward vague enthusiasm without contracts.

If a representative misses quota despite strong activity and improving skills, Voskanian wants a manager to understand whether the target or timing is wrong before replacing them. He asks what a replacement would be expected to do better. This is his management approach, not a guarantee that strong activity always produces a sale.

06

Independence, quotas and specialization

He distinguishes an independent seller from damaging behavior and offers quota-setting advice. He explains why Figma specializes by motion and persona rather than industry.

He sees room for a productive individual contributor who prefers working independently, provided that person is not harming colleagues. Some people may be unaware of how they are perceived and respond to coaching. He distinguishes that from behavior that damages a team, where he recommends feedback and faster action if the problem persists.

For an early-stage company setting quotas, Voskanian starts with the sales motion: is demand pulling the product into the market, or must the team create demand through difficult outbound work? He favors more attainable quotas to attract people for strategic selling and a greater efficiency focus for a highly transactional, demand-driven motion.

When someone struggles, he says he is generally more patient with a person who is working hard, learning and improving than with someone whose behavior or effort is damaging the team. He emphasizes examining what support the company has provided as well as what the individual can control. The appropriate decision still depends on the circumstances.

Voskanian favors focus and specialization early, but says industry-specific vertical teams depend on the product. Figma had not organized sales teams by industry, he says; it instead used segments, personas and some overlay teams. He mentions the acquired Weavy product as an example of a more specialized sales motion.

07

Quick-fire and family

Voskanian discusses Datadog, gifts, remote work and a lesson from joining Figma. He closes with personal reflections and cautious optimism about medical research.

In the quick-fire round, he praises his former employer Datadog’s retention and promotion practices, an assessment informed by his own experience there. He is skeptical of sales gifts, although he concedes they may work for some. He says fully remote sales teams are harder to lead but can expand access to talent.

Looking back, he thinks he may have spent too long observing Figma’s culture before making changes, though he does not describe it as a major regret. He is optimistic about possible medical advances from AI, without claiming a specific treatment or outcome. He also wants to be present with his children while continuing to develop the team.

Stebbings and Voskanian close by reflecting on parenting and the limits of time with family. Voskanian says his parents did their best under financial pressures and that he looks back on his childhood warmly despite difficulties. The conversation ends with mutual thanks.

More from this channel

23:48EN
20VC with Harry Stebbings· Oct 26, 2026Podcast · 2 speakersSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceGuest Satya Nadella · Host Harry StebbingsThe Microsoft CEO argues that capable agents need security boundaries even as alignment research remains unsettled, and explains why firms should retain the value created by their own AI use.Enterprise AIAI securityEvals+2
1:13:26EN
20VC with Harry Stebbings· Oct 24, 2026Podcast · 2 speakersNaveen Rao on Energy, AI Hardware, Verification and the Future of RoboticsGuest Naveen Rao · Host Harry StebbingsThe Unconventional AI founder argues that energy efficiency will shape AI hardware, while the growing volume of model output makes verification more valuable.EnergySemiconductorsInference+2
59:41EN
20VC with Harry Stebbings· Oct 22, 2026Podcast · 3 speakers20VC: Venture Fund Size, AI Valuations and the Changing Software MarketGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O'Driscoll debate venture concentration, infrastructure risk, code review and the assumptions behind fast-growing AI companies.Venture CapitalInvestingAI cost & performance+2
1:19:50EN
20VC with Harry Stebbings· Oct 19, 2026Podcast · 2 speakersSameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company CultureGuest Sameer Dholakia · Host Harry StebbingsThe Bessemer partner explains his approach to pricing fast-growing AI companies, backing founders and building teams, while discussing the risks behind his optimistic forecasts.Venture CapitalAI StrategyLeadership+2
1:03:05EN
20VC with Harry Stebbings· Oct 17, 2026Podcast · 2 speakersHarrison Chase on Building Reliable Agents, Model Routing and MemoryGuest Harrison Chase · Host Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestrationEvals+2
1:17:09EN
20VC with Harry Stebbings· Oct 15, 2026Podcast · 3 speakers20VC on Pro Rata Rights, AI Pricing and the Changing Software MarketGuest Jason Lemkin, Rory O’Driscoll · Host Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate investor rights, model economics and the choices facing software companies and their employees.Venture CapitalAI cost & performanceRobotics+2