Bolt's philosophy of hiring entrepreneurial 'smart generalists' was key to its resilience and ability to pivot. When the company needed to shift focus from ride-hailing to food delivery overnight during COVID, its adaptable talent pool was a critical asset. An organization of specialists would have been unable to make such a drastic change so quickly.
Related Insights
OpenGov's CEO advises against the conventional wisdom of hiring salespeople with deep government experience. Instead, his company seeks hungry, courageous, and disciplined individuals and trains them internally on domain specifics, finding this approach more effective.
Instead of replacing leaders at each growth stage, the Uber Eats management team was built like an "organism" with complementary strengths and was kept largely intact from launch to a $20 billion run rate. This proves a cohesive team that can learn together is more valuable than constantly hiring for "scale experience."
To avoid distracting from its core business, Bolt tests new ventures like scooters and food delivery using a standardized playbook. A small team of 5-10 people is given a modest budget and a six-month timeline to build an MVP and show traction. If successful, they get more funding; if not, the project is shut down.
The traditional tech team structure of separate product, engineering, and design roles is becoming obsolete. AI startups favor small teams of 'polymaths'—T-shaped builders who can contribute across disciplines. This shift values broad, hands-on capability over deep specialization for most early-stage roles.
Generalists' broad skillsets allow them to communicate effectively with sales, product, and rev-ops. This 'multi-lingual' ability is critical for gaining the buy-in necessary for complex strategies like ABM, giving them an edge over siloed specialists by getting them into more strategic conversations.
In rapidly evolving fields like AI, pre-existing experience can be a liability. The highest performers often possess high agency, energy, and learning speed, allowing them to adapt without needing to unlearn outdated habits.
When COVID decimated ride-hailing, Bolt rejected mass layoffs common among competitors. They opted for a universal 20% salary cut, with leadership taking more. This preserved their team's talent and morale, allowing them to aggressively pivot to food delivery and capture significant market share from paralyzed rivals when the market recovered.
In a paradigm shift like AI, an experienced hire's knowledge can become obsolete. It's often better to hire a hungry junior employee. Their lack of preconceived notions, combined with a high learning velocity powered by AI tools, allows them to surpass seasoned professionals who must unlearn outdated workflows.
Powerful AI assistants are shifting hiring calculus. Rather than building large, specialized departments, some leaders are considering hiring small teams of experienced, curious generalists. These individuals can leverage AI to solve problems across functions like sales, HR, and operations, creating a leaner, more agile organization.
Gamma scaled to a $2B valuation with only 50 people by innovating on org design, not just product. They prioritize hiring generalists over specialists and use a 'player-coach' model instead of a traditional management layer. This keeps the team lean, agile, and close to the actual work.
