Product Manager, Research

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.

About Anthropic:

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

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 might 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 past 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

Annual Salary:

• The expected salary range for this position is $275k – $375k.

Logistics:

Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

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

US visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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.

Compensation and Benefits:

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity – On top of this position’s salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits – The following benefits are for our US-based employees:

• Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
• Comprehensive health, dental, and vision insurance for you and all your dependents.
• 401(k) plan with 4% matching.
• 22 weeks of paid parental leave.
• Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
• Stipends for education, home office improvements, commuting, and wellness.
• Fertility benefits via Carrot.
• Daily lunches and snacks in our office.
• Relocation support for those moving to the Bay Area.

UK Benefits – The following benefits are for our UK-based employees:

• Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
• Private health, dental, and vision insurance for you and your dependents.
• Pension contribution (matching 4% of your salary).
• 22 weeks of paid parental leave.
• Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
• Health cash plan.
• Life insurance and income protection.
• Daily lunches and snacks in our office.
• This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How We’re 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. 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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 .