Data Operations, Product Partnerships

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

Working in Data Operations on the Product Partnerships team at Anthropic, you will support a cross-functional team in implementing partnership strategies to improve Anthropic’s products. You'll ensure data meets our standards and reaches the right teams, build systems to track compliance and data usage across the portfolio, and coordinate across Research, Product, Legal, and external partners to remove barriers and accelerate impact. This role requires operational excellence combined with technical understanding, and is a great fit for someone who wants to apply those skills in a high-impact, fast growth context.

Responsibilities

Data Delivery and Review

Develop and maintain Anthropic's preferred standards for receiving and consuming data, ensuring alignment with Product and Engineering's evolving needs
Own end-to-end data delivery workflows, ensuring data moves seamlessly from partners to internal teams to accelerate time-to-impact
Analyze and review incoming or prospective data to verify it is useful and strategic for Anthropic
Troubleshoot delivery issues and coordinate with partners and internal teams to resolve them

Data Systems, Tracking, and Compliance

Build scalable systems and dashboards to monitor and analyze where data lives, how it's being used, and compliance status
Ensure adherence to all of Anthropic’s and partner’s commercial obligations
Design processes for onboarding new data sources and partners efficiently
Partner with Infrastructure to set the standard for data cataloging across Anthropic as we scale

Cross-Functional Coordination

Collaborate with Research, Product, Legal, Security and Infrastructure teams to ensure data is accessible and usable
Guide external partners through Anthropic's data standards, delivery expectations, and processes
Provide operational support to data partnership initiatives, ensuring smooth execution and adherence to processes and timelines.
Prepare regular reports and presentations for executive leadership, highlighting key data metrics, insights, opportunities, and recommendations re: data delivery standards and practices.

You May Be a Good Fit If You

Have 5+ years of experience in data operations, technical program management, or a related role that blends operational and technical work
Have a background in engineering or data science—you can write light code (Python, SQL), do data analysis, and work with data pipelines
Think systematically and can design processes and infrastructure that scale
Are highly detail-oriented and take ownership of getting things right, especially around data quality and compliance
Navigate ambiguity effectively and can build structure where none exists
Communicate effectively with internal teams and external partners, representing Anthropic's data standards and delivery expectations
Demonstrate a bias for action—you identify problems and solve them rather than waiting for direction

Strong Candidates May Also Have

Experience building dashboards, tracking systems, or data cataloging infrastructure
Familiarity with data governance, compliance, or rights management
Track record of building operational processes from scratch in a fast-growth environment
Experience evaluating and optimizing data strategies based on data-driven insights.

Candidates Need Not Have

Deep expertise in AI or machine learning—you'll learn the relevant context on the job

The annual compensation range for this role is 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. Our total compensation package for full-time employees includes equity and benefits.

Annual Salary:$205,000—$240,000 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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. 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