Product Manager, Research

About Anthropic

Anthropics 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.

About the role

As a Product Manager for the Research and Frontiers teams at Anthropic you will own the ideation and deployment of new products as we advance transformative safe AI. The Research Product Management team works closely with our researchers to productize credible applied research and identify high-potential use cases grounded in customer needs. This role will partner closely with Frontiers which pushes the boundaries of our research capabilities into new experiences for end users and builders. Frontiers focuses on 0-to-1 product development taking our most advanced research and transforming it into innovative applications like Claude Code.

We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation with the ability to identify and ultimately define entirely new product categories enabled by AI.

Responsibilities:

• Lead 0-to-1 product development from research to internal prototypes to shipped products
• Identify nascent research capabilities that could become transformative products
• Define product strategy for experimental initiatives that push beyond our current offerings
• Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible
• Lead vision strategy roadmap and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems

You might be a good fit if you:

• Have 5 years in product management with experience launching new products and scaling existing products. Founder background is a plus.
• Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. A data-driven mindset with Python and SQL working proficiency is a must.
• Have the ability to navigate and execute amidst ambiguity and to flex into different domains based on the business problem at hand finding simple easy-to-understand solutions
• Have a track record of launching ambitious products that have found distribution or commercial success
• Think creatively about the risks and benefits of new technologies and think beyond past checklists and playbooks
• Stay up-to-date and hands-on with emerging research and industry trends
• Have a creative hacker spirit and love solving puzzles

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

How were different

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. Were 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 aboutour policyfor using AI in our application process