As one of our principal privacy engineers, you will be among Anthropic's most senior individual contributors on privacy. You will set technical strategy for how personal data is handled across products, research and infrastructure, and execute the hardest parts of delivering it.
Locations (3)
San Francisco, California, United States
Seattle, Washington, United States
New York City, New York, United States
Compensation
Annual Salary: $485,000—$625,000 USD
Responsibilities
Define and drive technical strategy and architecture for major areas of privacy, spanning product surfaces, research and training data, internal tooling, and multiple clouds
Identify and lead the highest-complexity, company-critical privacy initiatives, guiding engineers across many teams
Architect the primitives that make privacy the default and the safe path the fastest one: data discovery, classification, lineage, purpose-based access control, audit, retention, deletion, and export
Turn regulatory, contractual, and consent obligations into enforced, continuously verified technical controls in partnership with Legal, Policy, and Compliance team
Anticipate where AI capabilities, regulation, and customer expectations are heading, and position our systems ahead of them
Requirements
Bachelor’s degree or an equivalent combination of education, training, and/or experience
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey.
Compensation
For New York City based hires: Estimated annual salary of $204,000.00 - $321,000.00
Responsibilities
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure
Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations
Deliver tailored technical presentations, architectural diagrams, and demonstrations
Own Clutch's data platform end-to-end, designing and evolving the architecture behind our warehouse, pipelines, and data models with long-term scalability in mind.
Compensation
Salary: $160,000 - 200,000
Responsibilities
Own Clutch's data platform end-to-end
Build reliable, well-tested ELT pipelines
Design data models in partnership with analysts and data scientists
Build the data foundations for our financial services work
Support commercial management of utility-scale and distributed renewable energy projects across the United States, including due diligence, financial analysis, budgeting, and contract administration.
Compensation
Salary Range Across all U.S. Locations
$70,000—$88,000 USD
Responsibilities
Support project evaluations, agreements, and due diligence for acquisitions and investments
Provide P&L analysis and economic performance for assets
Perform financial analyses and budget updates
Monitor monthly performance and variance reports
Investigate major plant outages
Requirements
Bachelor’s degree in Engineering, Computer Science, Finance, Business, Economics, or related field
Build and modernize large‑scale build, deployment, and change‑management systems for Apple’s cloud services, integrating AI to automate risk assessment, incident triage, and developer support.
Responsibilities
Design and implement scalable backend services for build and deployment pipelines
Modernize legacy tooling and standardize containerized deployment workflows
Develop agentic AI systems for risk assessment and incident triage
Integrate with microservices, messaging systems, and AI/ML frameworks
Collaborate with cross‑functional engineering teams to improve developer experience
Engineer to develop and evaluate machine learning models for Apple Calendar’s intelligence features, working on-device and on-server, from concept to production.
Responsibilities
Drive modeling and evaluation of calendar intelligence features
Design evaluation metrics and baselines
Build and ship production code across Apple platforms
Collaborate with ML teams and product/design
Validate model outputs and iterate
Requirements
Bachelor's degree in Computer Science, EE, Applied Mathematics, or related field
Nice to have: Efficient systems for constrained environments
Nice to have: Latency, memory, and power optimization
Nice to have: Designing evaluation for shipped models
Support and continuously improve Amylyx’s enterprise data and analytics ecosystem, ensuring reliable operation of data platforms, integrations, and reporting solutions.
Locations (2)
Cambridge, Massachusetts, United States
United States
Compensation
$138,000—$155,000 USD
Responsibilities
Maintain day-to-day operation of critical data platforms and reporting solutions
Ensure data pipelines, system integrations, and master data processes operate reliably
Troubleshoot and resolve production issues impacting data availability, quality, or performance
Coordinate incident resolution activities with internal teams and external support providers
Establish and maintain operational dashboards, monitoring tools, and service metrics
Requirements
Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or related discipline
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