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Anthropic

Research Product Manager, Labs

Anthropic is hiring a Research Product Manager, Labs in San Francisco and New York, United States. It pays $385k-$460k a year and Level rates it ; you can apply on Anthropic.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • The listed pay starts 115% above the typical AI product manager posting on Level.
  • Anthropic mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include AI safety and AI research.
  • Level lists 680 other open roles at Anthropic.

AI in this role

ai-safetyai-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 Research Product Manager for the Labs teams at Anthropic, you will own the ideation and development of new, moonshot products as we advance transformative, safe AI. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet. The team focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code and MCP.

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:

  • Work with researchers to understand what's emerging and what it means for users
  • Identify nascent research capabilities that could become transformative products
  • Build prototypes yourself to validate ideas before committing resources
  • Lead 0-to-1 product development from research to internal prototypes to shipped 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

Minimum Qualifications

You might be a good fit if you:

  • Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products.
  • 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
  • Prototype with AI tools like Claude Code

Preferred Qualifications

  • Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus.

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.

Annual Salary:$385,000—$460,000 USD

Logistics

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.

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.

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.

How we rate this

Research Product Manager, Labs at Anthropic rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyAI Research

Also common in AI product manager jobs at this level

Pay

This job starts at
$385k
Typical AI product manager job
$179k

This posting starts 115% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a research question you investigated. What did you find?
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI Safety and AI Research. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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