San Francisco, California, United States · Hybrid
$405k–$485k/yr
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 co…
Skills: Engineering Management, Data Architecture, Distributed Systems, Data Modeling, Cloud-Native Platforms
Auburn, Washington, United States · On-site
Check out this new opportunity! Numerical Control Programmer CMM, PC-DMIS, & CATIA V5 | Aerospace Manufacturing Auburn, WA $59.90 - $74.46/Hour U.S. Citizenship is required by Federal Law We are hiring a Numerical Contro…
Skills: NC Programming, CMM Programming, PC-DMIS, CATIA V5, ZEISS Calypso
Seattle, Washington, United States · Hybrid
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&…
Skills: Azure Storage, Distributed Systems, Microservices, CI/CD Pipelines, Terraform
Seattle, Washington, United States · On-site
$171k–$260k/yr
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the VPC Network organiz…
Skills: Software Engineering, VPC, Infrastructure Development, Cybersecurity
Kent, Washington, United States · On-site
$129k–$328k/yr
At Stoke, we believe a thriving space economy will enable a vibrant, sustainable, and equitable future here on Earth. That is why we’re building Nova, our fully and rapidly reusable launch vehicle. Designed for daily fli…
Skills: Fluids System Design, CAD Modeling, Compressible Flow Analysis, Thermodynamics, Cryogenics
Arlington, Washington, United States · On-site
$25/hr–$35/hr
Certerra is a nationally recognized provider of engineering, testing, inspection, and certification services supporting innovation, quality assurance, and resilient infrastructure. With over 1,800 professionals nationwid…
Skills: Field Testing, Construction Inspection, Technical Reporting, Code Compliance, ASTM Standards
Seattle, Washington, United States · On-site
J.A. Jack and Sons, Inc. is searching for an Engineering Intern for our Seattle, WA location. As an Intern, you will foster a positive safety culture while supporting the production team with compliance, regulations and …
Skills: Standard Operating Procedures, Technical Documentation, Facility Layout, Bill of Materials, Microsoft Office
Mercer Island, Washington, United States · On-site
$150k–$225k/yr
Position Overview The Senior Electrical Design Engineer supports the design and productization of electrical, controls, and power distribution systems for Fleet's data center infrastructure. This role leads electrical de…
Skills: Electrical Design, Schematic Development, Panel Layout, Power Distribution, BOM Management
Mercer Island, Washington, United States · On-site
$200k–$300k/yr
Position Overview The Principal Product Manager, Advanced Mechanical Products partners with Product Engineering to define product strategy and lead the development of advanced mechanical systems supporting Fleet's data c…
Skills: Product Strategy, New Product Development, Mechanical Engineering, Supplier Management, Thermal Management
Mercer Island, Washington, United States · On-site
$150k–$200k/yr
Position Overview The Technical Program Manager, New Product Development leads cross-functional execution of new product development programs supporting Fleet's data center infrastructure products. This role partners wit…
Skills: Technical Program Management, New Product Development, Cross-functional Leadership, Risk Management, Schedule Management
Mercer Island, Washington, United States · On-site
$200k–$300k/yr
Position Overview The Director of Advanced Manufacturing will lead the manufacturing strategy for complex data center infrastructure products, overseeing the transition from prototype to full-scale production. This role …
Skills: Manufacturing Strategy, Automation Strategy, Production Scalability, Contract Manufacturing, New Product Introduction
Bothell, Washington, United States · On-site
$69k–$84k/yr
Position Summary Responsible for purchasing materials and coordinating activities involved with procuring goods and services to assist in the successful bidding and execution of projects. Requests bids then analyses vend…
Skills: Procurement, Vendor Management, Contract Negotiation, Budget Development, Budget Analysis
Seattle, Washington, United States · Hybrid
$120k–$135k/yr
HOK is a collective of future-forward thinkers and designers who are driven to face the critical challenges of our time. We are dedicated to improving people's lives, serving our clients and healing the planet. Together,…
Skills: Conceptual Design, Construction Documentation, Sustainable Design, Project Leadership, Client Relationship Management
Bellingham, Washington, United States · On-site
$22/hr
Environmental Field Technician (Apprentice) – Paid Training Bellingham, WA | Full-Time | Entry-Level Also Known As / Secondary Titles: LDAR Apprentice, Environmental Technician Trainee, Air Quality Technician, Fiel…
Skills: Emissions Monitoring, EPA Method 21, Leak Detection and Repair, Equipment Calibration, Data Collection
Seattle, Washington, United States · Hybrid
$158k–$197k/yr
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, natura…
Skills: Technical Sourcing, Real Estate Acquisition, Infrastructure Procurement, Contract Negotiation, Financial Modeling
Seattle, Washington, United States · On-site
Oracle Cloud Infrastructure (OCI) Networking is the foundation that enables customers to run mission-critical workloads at global cloud scale. We're rearchitecting OCI's routing foundation from the ground up to support t…
Skills: Software Development, Networking, Routing, Distributed Systems, C/C++
Redmond, Washington, United States · On-site
$154k–$217k/yr
Meta is seeking a Research Scientist to advance the field of multi-modal understanding. This role focuses on developing models and systems that can reason across multiple modalities including text, images, video, and aud…
Skills: Multi-modal Learning, Vision-Language Models, Cross-modal Reasoning, Python, PyTorch
Kirkland, Washington, United States · Hybrid
About Teal Teal Communications, Inc. (“Teal”) is a high growth software company that offers a cloud-native “Network Orchestration Service” built to connect Physical AI & IoT devices to data networks globally. Teal has be…
Skills: Java, Spring Framework, Physical AI, Telecommunications, eSIM
SeaTac, Washington, United States · On-site
$28/hr–$35/hr
Job DetailsJob Location: SEATTLE - SEATAC, WA 98168Position Type: Full TimeSalary Range: $28.00 - $35.00 HourlyApplied Technical Services, LLC (“ATS” or the “Company”) is a leading provider of cri…
Skills: Non-Destructive Testing, Visual Testing, Penetrant Testing, Magnetic Particle Testing, Ultrasonic Testing
Kirkland, Washington, United States · Hybrid
About Teal Teal Communications, Inc. (“Teal”) is a high growth software company that offers a cloud-native “Network Orchestration Service” built to connect Physical AI & IoT devices to data networks globally. Teal has be…
Skills: Java, Test Automation, Selenium, Cucumber, Gherkin BDD
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Lead the team responsible for building and scaling Anthropic's critical data infrastructure and north star implementation. Define the long-term technical strategy for the data stack to support high-velocity model training and regulatory compliance.
Requires extensive experience managing engineering teams in high-growth environments with deep expertise in data modeling and large-scale lakehouse architectures. Candidates should have a proven track record of architecting cloud-native platforms and implementing robust data governance.
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.
As the Engineering Manager for Data Architecture, you will lead the team responsible for building our north star implementation of data infrastructure. This team owns the full lifecycle of Anthropic’s most critical data, ranging from customer-facing data like prompts and exchanges (highly PII) to core business data such as logging and financial records. Your mission is to grow this infrastructure into a world-class platform that powers our rapidly expanding business while maintaining the highest standards for AI safety and regulatory compliance.
This is a high-leverage leadership role where you will architect systems that support model training with customer consent, legal reviews, and AI safety evaluations (Safe Guard). You will ensure our data platform is inherently secure, massively scalable, and flexible enough to support diverse product surfaces across multiple cloud environments. If you are passionate about building the foundational systems that enable a frontier AI lab to scale safely and efficiently, this role is for you.
Build and lead the team: Recruit and mentor a team of world-class data and infrastructure engineers; establish the team’s technical vision, operational standards, and strategic roadmap.
Drive technical strategy: Define the long-term architecture for Anthropic’s data stack, ensuring it supports high-velocity model training and complex inference workloads across all cloud regions.
Architect scalable pipelines: Lead the design and implementation of robust, automated data pipelines that handle petabyte-scale datasets with high reliability and performance.
Implement robust governance: Build the systems and processes for automated data discovery, lineage tracking, and lifecycle management to ensure high data quality and integrity.
Security and compliance-by-design: Ensure data architecture inherently supports global privacy regulations and security requirements through automated controls and privacy-preserving architectures.
Cross-functional enablement: Partner with ML, Product, and Legal teams to unlock the power of data, providing the tools and platforms needed to derive insights without compromising safety.
Standardize data quality: Define and enforce SLAs for data availability and accuracy, building internal tools to monitor and maintain the health of the entire data ecosystem.
Evangelize the data mission: Advocate for the importance of modern data architecture as a core component of AI safety, communicating progress and risks to leadership and cross-functional stakeholders.
We are looking for a technical leader who combines deep systems engineering expertise with a passion for building scalable data organizations. The ideal candidate has:
Required:
Extensive experience managing and scaling engineering teams in high-growth environments, with a focus on data infrastructure or distributed systems.
Deep technical expertise in data modeling, database internals, and large-scale data warehouse/lakehouse architectures.
Proven track record of architecting cloud-native, scalable data platforms that handle multi-cloud deployments and high-throughput data streams.
Strong foundation in data governance principles, including metadata management, data lineage, and automated quality enforcement at scale.
Ability to thrive in high-ambiguity environments, translating broad business goals into specific technical roadmaps and actionable engineering tasks.
Pragmatic approach to engineering: you know when to build for the future and when to deliver immediate value through iterative improvements.
Excellent communication skills, with the ability to explain complex architectural trade-offs to both technical and non-technical partners.
Comfort with end-to-end ownership and a desire to build a "full-stack" data foundation that serves as the company's single source of truth.
Preferred:
8+ years of experience managing technical teams
Experience growing an engineering team and charter through a period of rapid company scaling.
Experience conducting privacy reviews, threat modeling, and risk assessments for production systems
Proven track record of designing and implementing privacy infrastructure serving millions of users
Experience at companies during periods of hypergrowth where you've scaled privacy alongside the business
Exposure to AI/ML infrastructure and the unique privacy demands of large-scale training and inference
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.
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.
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.
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.
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
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