Linear CEO Karri Saarinen on building the default project management tool for AI-era software teams

Summary

Karri Saarinen founded Linear five years ago out of frustration with tools that worked adequately for executives monitoring dashboards but failed the engineers and designers who lived in them daily. The company now serves over 10,000 customers, ranging from early-stage startups to major enterprises, with OpenAI, Scale, Ramp, and Mercury among its named accounts.

Capital discipline

Linear turned profitable in its second year and has remained so for roughly four years. Saarinen is direct that profitability is not the primary goal — growth is — but the cash position gives Linear control over its own timeline. Every fundraising round, from the Sequoia-led seed onward, has been driven by strategic entry points rather than runway pressure: the seed established credibility, later rounds funded the move upmarket into enterprise sales. Saarinen draws a clear contrast with startups that optimize metrics to satisfy a looming round rather than to build a better product.

Hiring model

Linear operates fully remote and deliberately skews senior. Saarinen argues that talent density beats headcount, pointing to his time at Airbnb, Uber, and Coinbase where the best work often came from small teams rather than large ones. Remote work, in his framing, demands that employees operate without constant direction, which tends to suit people with more experience. It also enforces strategic discipline: without the hallway collisions that generate constant new ideas, leadership has to commit clearly to a plan and let people execute.

Go-to-market

Linear's primary growth motion is word of mouth carried by individual practitioners. The observation made in the conversation — that designers and PMs will condition job offers on a company's willingness to switch to Linear — captures the dynamic Saarinen describes. The product qualities that drive it are speed and simplicity. Slow, confusing tools get used once a week for status updates and nothing more; that dead-tool outcome is what Linear is designed to prevent.

Agent strategy

Linear recently launched agent-focused features and Saarinen expects hundreds, potentially thousands, of AI agents to become participants in software workflows. Rather than trying to control which agents interact with the platform, Linear is positioning itself as the coordination layer — the place where work gets delegated to agents, monitored, reviewed, and audited for cost and security. Devin and Codegen are already live on the platform; users can assign issues directly to them today. Saarinen says more launch partners are coming within weeks.

The deeper argument Saarinen makes is structural. Waterfall processes exist partly because engineering is expensive — you plan extensively before building because building is the bottleneck. If AI collapses the cost of implementation, that logic inverts. Teams can prototype in code directly rather than specifying upfront, which compresses the planning-to-execution cycle. The planning layer doesn't disappear, but its relationship to execution changes. That shift is Linear's opportunity: as individual contributors increasingly manage agents rather than write every line themselves, the tool that organizes that work becomes more central, not less.