How Shopify Lets Employees Allocate Compensation

Kaz Nejatian describes a flexible approach to salary and equity.

KNKaz NejatianInvitado · Shopify
Canal
20VC with Harry Stebbings
Publicado
29 ago 2024
Vídeo
0:34
Lectura
1 min
Original
inglés
Abrir en YouTube
Al desplazarte, el vídeo se reduce a la esquina inferior derecha y sigue reproduciéndose. Los subtítulos siguen tu idioma de lectura.
Idioma de lecturaDisponible en 2 idiomas
Este artículo aún no está en español, así que se muestra el original en inglés.
RESUMEN

En 30 segundos

Kaz Nejatian says Shopify lets employees allocate a compensation amount among salary, equity and other options, and describes the work required to build the system.

  1. 1A compensation poolEmployees can allocate compensation rather than receiving only a fixed mix.
  2. 2Implementation challengesNejatian describes legal and equity-process obstacles.
  3. 3A company perspectiveHe says the transition was painful but considers the result strong.

Conclusiones

  1. Employees can allocate a compensation amount across different forms.
  2. Nejatian says implementing the change required equity-process changes.
  3. His comparison with other companies is a subjective claim.
TEXTO COMPLETO

Lee el texto editado por capítulos

Solo la transcripción
01

Flexible compensation

Nejatian explains the allocation approach and its implementation.

Kaz Nejatian says Shopify changed its compensation approach: instead of a predetermined mix of salary, equity and bonus, employees receive an amount and use software to allocate it among options.

He says implementation required changes to equity processes and faced legal obstacles in Europe. He recalls CEO Tobi Lütke writing substantial code to make it work, and describes the transition as painful.

Más de este canal

1:00:17EN
20VC with Harry Stebbings· 29 oct 2026Pódcast · 3 vocesHarry Stebbings, Jason Lemkin and Rory O’Driscoll on AI financing and venture betsInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsThe investors debate AI lab economics, spending on infrastructure, open-model risks and how to evaluate fast-moving private investments.Venture CapitalAI cost & performanceIA empresarial+2
23:48EN
20VC with Harry Stebbings· 26 oct 2026Pódcast · 2 vocesSatya Nadella on Zero Trust for AI and Why Every Company Should Own Its IntelligenceInvitado: Satya Nadella · Presenta: 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.IA empresarialAI securityEvaluaciones+2
1:13:26EN
20VC with Harry Stebbings· 24 oct 2026Pódcast · 2 vocesNaveen Rao on Energy, AI Hardware, Verification and the Future of RoboticsInvitado: Naveen Rao · Presenta: 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· 22 oct 2026Pódcast · 3 voces20VC: Venture Fund Size, AI Valuations and the Changing Software MarketInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: 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· 19 oct 2026Pódcast · 2 vocesSameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company CultureInvitado: Sameer Dholakia · Presenta: 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· 17 oct 2026Pódcast · 2 vocesHarrison Chase on Building Reliable Agents, Model Routing and MemoryInvitado: Harrison Chase · Presenta: 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 orchestrationEvaluaciones+2