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.
Core responsibilitiesInternal product ownership
- Own the roadmap for Claude-powered internal products and automation across one or more customer functions.
- Run intake and prioritization so that the highest-impact problems get built first and the rest get a clear answer.
- Write crisp problem statements and requirements that engineers can act on without rework.
- Ship iteratively, gather feedback from the people using the product, and keep improving it after launch.
Adoption and business impact
- Co-develop adoption roadmaps with internal customer teams and hold both sides to them.
- Define success metrics before work starts and report adoption and business impact on a regular cadence.
- Treat change management as part of the product. Plan rollout, training, and support so that what you ship gets used.
- Kill or rework products that are not earning their keep.
Cross-functional partnership
- Build trusted relationships with leaders in the functions you serve and translate their needs into product priorities.
- Partner with IT, IT Engineering, and Security on access, data handling, and governance so that internal Claude usage follows internal policy.
- Coordinate with Legal and Finance on the requirements that apply to your products.
- Communicate plans, progress, and tradeoffs clearly to the teams and leaders you work with.
Technical leadership
- Understand how Claude, internal systems, and integrations fit together well enough to make sound scoping and sequencing calls.
- Partner with engineering on architecture choices that keep internal products maintainable and secure.
- Stay current on Claude capabilities and bring new ones to internal teams where they fit.
Required
- You have deep product management experience, including ownership of products used by internal teams.
- You have shipped products that measurably changed how a team or function works.
- You have partnered with engineering, IT, and security teams on technical products.
- You communicate clearly in writing and in person. You can explain a tradeoff to an executive and a requirement to an engineer.
- You are comfortable operating with ambiguity and setting priorities across competing requests.
Nice to have
- You have built with LLMs or agent tooling.
- You have worked on IT, internal tools, or business systems products.
- You have led change management or rolled out new tools across an organization.
- You know security and data-handling practices for internal systems.
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.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
Come work with us!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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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