Product Manager, Research

About Anthropic

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.

About the role

As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You have experience rapidly prototyping and launching innovative technologies and product. You thrive in ambiguous environments and accelerate research velocity into products. Your curiosity to understand user needs enables you to connect advanced technology to products delivering real-world value.

Responsibilities:

• Lead vision, strategy, roadmap and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems
• Rapidly prototype and experiment with different products and services to validate product market fit
• Synthesize user insights into actionable product requirements, user stories, and product specifications
• Analyze metrics to inform future product development 
• Understand AI landscape and ecosystem, ensuring we have an objective view of market capabilities and our position
• Ability to work and influence across a diverse set of stakeholders, including research as well as product engineering and platform engineering

You may be a good fit if you have:

• 5+ years in product management, experience launching new products and scaling existing products
• Technical background with experience working cross functionally with engineering teams to ship technical products
• Experience working with or applying Large Language Models in products
• Experience in the AI or machine learning industry
• Data-driven mindset with Python and SQL working proficiency a must
• 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
• Track record of launching products that have found distribution or commercial success
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication
• Passion for using AI to create safe and beneficial products
• Think creatively about the risks and benefits of new technologies, and think beyond checklists and playbooks
• You stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Have a creative hacker spirit and love solving puzzles

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:$275,000—$375,000 USD

Logistics

Education requirements: We require at least a Bachelor's 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 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.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a s