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Engineering Manager, Enterprise

Label Your Data·$405,000 – $485,000

Primary stack

SaaS

Nice to have's

Compliance

Job description

About the Position

Engineering Manager, Enterprise

San Francisco, CA


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

Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly.

We're looking for an engineering manager for our Enterprise pillar-the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.

You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.

This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai, Claude Code, and API.


Responsibilities

  • Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale
  • Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
  • Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt
  • Partner with sales and customer success on enterprise deals-understanding requirements, representing engineering in key conversations, and turning what you learn into priorities
  • Shape the roadmap with product and design, not just execute against it
  • Drive the compliance and platform-readiness work your customers require, partnering with security and legal
  • Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

Requirements

Minimum Qualifications

  • 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools
  • Comfortable executing at a fast pace to meet the expectations of our customers
  • Detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable
  • Comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
  • A skilled engineering manager who treats management as a craft-clear feedback, strong 1:1s, consistent investment in your team's growth

Preferred Qualifications

  • Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools
  • Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements
  • Experience building integrations, permissions, billing, or pricing infrastructure
  • Familiarity with data residency and sovereignty requirements across global regions
  • Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment
  • Experience in working with research to improve domain-specific model capabilities

We Offer

  • Annual Salary: $405,000-$485,000 USD
  • Logistics:
    • 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.

About the Company

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.


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.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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