Data Operations, Product Partnerships San Francisco, CA NY

Position: Data Operations, Product Partnerships San Francisco, CA | New York City, NY
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.

Data Operations, Product Partnerships

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

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.

$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:
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