Technical Solutions Specialist, Data Operations

Anthropic•New York, NY, US• Full Time

Posted 2 hours ago• Aerospace Engineering

Compensation

$205,000–$240,000/year

Job Description

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.

Technical Solutions Specialist, Data Operations

Strategic Data Partnerships | Anthropic

About the Role

Working in Data Operations on the Strategic Data 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 hands-on execution, and is a great fit for someone who wants to apply those skills in a high-impact, fast-growth context.

You’ll serve as the technical engine of the team’s data operations—building and maintaining the systems, programs, and data pipelines that help us evaluate, filter, and deduplicate large volumes of partner data, and managing the cloud infrastructure that supports data delivery. This role sits at the bridge between external partners delivering data and internal research teams consuming it: you’ll resolve technical issues on both sides while proactively developing tools, documentation, automation, and workflows to scale the operation.

Responsibilities

Data Opportunity Assessment and Processing

Analyze and review incoming or prospective data to verify it is useful and strategic for Anthropic
Own and maintain Python-based ETL pipelines that process large partner datasets, applying filtering criteria and deduplicating against existing data
Write and optimize SQL queries against large relational databases to support filtering and analysis workflows
Refine processing logic as requirements evolve across new data types and formats

Data Delivery Infrastructure, Tooling, and Support

Own end-to-end data delivery workflows, ensuring data moves seamlessly from partners to internal teams to accelerate time-to-impact
Manage AWS and GCP resources for receiving and organizing partner data deliveries
Troubleshoot delivery issues and coordinate with partners on formatting and transfer protocols and resolve technical escalations from partners and internal teams
Build and maintain internal systems, scripts, and automation that support the team’s workflows
Support occasional research evaluation tasks as needed

Data Operations and Governance

Develop and maintain Anthropic's preferred standards for receiving, consuming and cataloging data, ensuring alignment with Product and Engineering's evolving needs
Contribute to systems for monitoring data usage and compliance with partner agreements
Partner with teammates and cross-functional stakeholders to build out governance practices as the team scales

You May Be a Good Fit If You

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
5-7+ years of experience with data pipelines or data engineering workflows
Background in solutions engineering, partner engineering or related role at a large tech company
5+ years of experience in technical troubleshooting or writing code in one or more programming languages
Proficiency in Python and SQL, including writing, debugging, and optimizing scripts and queries against large datasets
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including managing storage, configuring access, and working from the CLI
Excellent problem-solving skills with a track record of debugging technical issues, whether at the code level or within a broader system
Some experience interacting with external third parties delivering data

Strong Candidates Will Have

Experience working alongside technical teams (research, engineering, or product) to solve ambiguous problems
Ability to translate technical concepts into clear, actionable guidance for non-technical stakeholders or external partners
Experience owning or maintaining a production service or system with uptime expectations
Familiarity with data governance, compliance, or rights management
Ability to manage multiple, time-sensitive projects simultaneously and the drive to take a project from an initial idea to full completion
Experience leveraging AI to automate workflows

Candidates Need Not Have

Deep expertise in AI or machine learning
A pure software engineering background

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:

$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. 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