Anthropic's $1B to $19B growth run: how Claude became the fastest-growing AI product in history

Amole didn't apply through Anthropic's website or get a referral. He was a Claude user who saw an obvious gap: the company had no growth team. So he sent Mike Krieger, then Chief Product Officer, a cold email. Krieger responded, and one conversation led to another. Amole is the only PM Mike has hired via cold email.

Amole's cold email tactic is battle-tested from his founder days. First, craft a subject line with extremely high open rates (he keeps the exact copy secret). Second, find the recipient's personal email — not LinkedIn or work inbox, where everyone else is reaching out. Third, keep the message short: here's who I am, here's why I'd be a good fit, let's chat. Fourth, follow up repeatedly until they tell you to stop. The philosophy: if you really care, keep reaching out.

The timing was perfect. Anthropic wasn't publicly hiring for growth roles, but leadership was just beginning to think about it. Amole's cold outreach landed at exactly the right moment.

Traditional growth teams spend 60–70% of effort on small-to-medium optimizations and 20–30% on large strategic bets. Anthropic flips this ratio: 70% goes to large swings, 30% to micro-optimizations. Why? Because the product value two years from now will be 100–1,000× higher than today due to AI's exponential improvement curve. In contrast, a grocery delivery app might improve product value 30–50% over two years — making incremental optimization highly valuable relative to future gains.

When your core value proposition is underpinned by rapidly improving AI models, the future opportunity dwarfs present-day metrics. Small optimizations compound, but they're dwarfed by the need to unlock entirely new markets as capabilities expand. Anthropic's growth team built the Chrome extension — a research-heavy, product-like initiative — because no one else was doing it and it unlocked multiple use cases for Co-work and Claude Code. That's the kind of large bet that pays off in an exponential world.

Amole's advice: if AI is central to your product's value (like Cursor, Lovable, or other AI-first companies), operate this way. If AI is a side feature and not your core value prop, stick to traditional growth ratios.

Engineers are getting the most leverage from AI tools like Claude Code — effectively 2–3× output per person. A team of five engineers now functions like 15 in the old world. But PMs and designers haven't scaled proportionally, creating a squeeze. One PM used to manage five engineers; now they're managing the equivalent of 15–20. This is straining PM and design capacity across the company.

Anthropic's solution: deputize product-minded engineers to be mini-PMs. If a project requires two engineering-weeks or less, the engineer owns it — talking to legal, security, and cross-functional stakeholders. The PM advises if needed but isn't on the hook for execution. If a project is larger than two weeks, the PM drives it (unless they delegate). This isn't a clean rule — use judgment — but it's the default framework.

This shift elevates product-minded engineers dramatically. An engineer who can think like a PM becomes a unicorn. Their value goes up an order of magnitude. Meanwhile, Anthropic is hiring more PMs to fill the gap, because at scale, cross-functional coordination and stakeholder alignment still require human brains. The best use of a PM's time isn't shipping the 21st feature when 20 engineers are already shipping — it's improving the «why» and the «what» by 5%, which has exponentially higher leverage.

Anthropic's sharp focus on B2B and coding use cases wasn't entirely strategic vision — it was necessity. Historically, they were the smallest, least-funded player in the space. They didn't have Meta or Google's free cash flow and distribution. They didn't have OpenAI's first-mover advantage. So they had to pick a very narrow focus to maximize their chance of reaching escape velocity.

Ben Mann wrote a memo in 2021, months after Anthropic was founded, arguing the company should focus on AI coding. This was years before anyone knew the size of the market. Leadership also believed deeply that coding would accelerate research — a mainstream view now, but prescient then. If Anthropic had the best coding models, researchers would build better tools faster, accelerating the research loop.

Amole describes this as «freedom through constraints.» When you have limited options, the path becomes clear. You stop wasting energy on excess choice. Ironically, Anthropic had built a chatbot before ChatGPT launched but chose not to release it for safety reasons. They didn't want to kick off a global AI arms race. When OpenAI launched ChatGPT and gained massive consumer traction, Anthropic's path became even clearer: go deep on B2B and coding, where focus and safety could be competitive advantages.

In early 2022, Amole suffered a traumatic brain injury during a routine Muay Thai sparring session. For nine months, he couldn't work. The first few months were brutal: he couldn't shower or use the bathroom without help. Listening to music for 20 seconds made him nauseous. He couldn't look at screens. It took roughly six months before he was comfortable walking again. For a long time, it wasn't clear he'd ever work again.

Recovery required slowly increasing tolerance to stimuli — pushing just enough without triggering setbacks. After nine months, he returned to work. Then, a month into joining Mercury in mid-2023, he was re-injured when a bag hit his head getting off a plane. He was out for another two months. He's still not 100% healed — he experiences dizziness and headaches — but he's learned to work around them.

Amole credits the injury with making him more effective. He doesn't drink alcohol or caffeine. He takes short breaks between morning and lunch, and lunch and end of day — even on the craziest model launch days. He meditates regularly and does annual retreats at Spirit Rock. These aren't optional; they're survival mechanisms. But they've also given him space between awareness and reality — the place where choice lives. In a job as intense as leading growth at Anthropic, that space is what keeps him from losing his head. The injury taught him what one of his meditation teachers said: «True freedom in life is learning how to be content when you don't get what you want.»