Mike Krieger

Chief Product Officer — Anthropic

Profile

Mike Krieger is the Brazilian-born engineer who co-founded Instagram with Kevin Systrom in 2010, served as its CTO through the $1B Facebook acquisition, and grew the engineering team past 450 people while the platform crossed a billion users. He left Meta in 2018 alongside Systrom in a famously frosty exit from Mark Zuckerberg’s orbit. For developers, the Instagram story matters because Krieger ran one of the most operationally brutal scaling jobs in consumer software — Django, Cassandra, sharded Postgres, the works — and came out the other side as a product person who actually understands the systems underneath.

After Instagram he co-founded Artifact, an AI-powered news reader that quietly demonstrated what personalized LLM ranking could feel like before most people knew to ask for it. Artifact wound down in early 2024 — the founders decided the market wasn’t big enough — and the tech was acquired by Yahoo. Three months later, in May 2024, Krieger joined Anthropic as Chief Product Officer, taking on product engineering, product management, and design across Claude and the Claude API.

His tenure as CPO covered the period where Anthropic stopped being “the safety lab with a chatbot” and started shipping the products that developers actually live in: Claude Code, Projects, Artifacts, computer use, and — the one Jack Clark and Dario Amodei keep pointing at — the Model Context Protocol. Krieger has publicly said MCP may be the most important thing Anthropic has shipped, framing it as making the digital world scriptable by agents. Claude Code hit a $1B annual run-rate within six months of its May 2025 launch, mostly from enterprise.

In January 2026 Anthropic reshuffled the C-suite: Krieger stepped out of the CPO role to co-lead the Labs division with Ben Mann, with Ami Vora taking over product. The framing was that the company needed a dedicated technical-staff push on the next generation of agentic capabilities while a separate operator scaled the existing surface area. For someone learning AI, Krieger is worth watching because his public thinking is unusually grounded — he talks about bottlenecks (merge queues, decision-making, context engineering) the way an engineer who has actually shipped things at scale talks about them.