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Anthropic is seeking a Product Manager for Business Technology to own internal Claude-powered products and automation. You will work with Legal, IT, GTM, Finance, and Security, focusing on turning internal needs into clear priorities and measurable business impact.
The role emphasizes adoption, governance, and technical leadership across internal teams. You will partner with engineering, IT Engineering, and Security, owning outcomes rather than features, and driving adoption roadmaps with
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As a Product Manager for Business Technology, you will own internal products that shape how Anthropic works with Claude. You will embed with internal customer teams such as Legal, IT, GTM, Product, Finance, and Security to understand how they work, find where Claude can remove friction, and ship software and automation that changes their outcomes. This role requires strong product judgment, comfort with technical systems, and the ability to turn messy internal needs into clear priorities.
You will work closely with engineering, IT, IT Engineering, Security, and the teams you serve. You will own outcomes, not features. Adoption and measured business impact are how your work is judged.
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
$305,000-$385,000 USD
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Learn about our policy for using AI in our application process.