Updated Jan 21, 2026 using last 90 days postings.
Anthropic Hiring Trends – January 2026
Anthropic is rapidly scaling its core AI product capabilities, particularly in machine learning engineering focused on advancing large language models with multimodal features such as audio and vision integration. The company is also expanding operational functions around AI compute infrastructure, including procurement, capacity planning, and financial controls to support large-scale, cost-efficient deployment of compute resources. Additionally, there is strong growth in cross-functional teams handling revenue accounting, international compliance, legal safety counsel, and responsible scaling policy, highlighting a maturing organization building the financial, legal, and governance frameworks necessary to support safe and scalable AI products.
Note: These dashboards are not the source of truth. Job posting data can include duplicates and may double count roles. Treat the results as a sample that helps explain what the postings suggest about hiring focus. Summaries are generated with an LLM and may contain errors or omissions. For the most accurate and complete information, research the company directly.
Tracked openings
310
Remote share
1%
Top location
CA, US
Top category
Machine Learning And Ai Engineering
Inside The Product
SummaryAnthropic builds large-scale, safety-focused AI systems (Claude) and advances research directions such as interpretability, scaling laws, and multimodal models. The company is scaling compute, procurement, finance, and cross-functional engineering to move research (pretraining, finetuning, RL) into production and commercial deployments.
What They Build
- Safety-first large language models (Claude) and research into AI safety and interpretability.
- Multimodal capabilities (audio and vision integration with LLMs) and related model research and training.
- Scalable compute infrastructure and capacity planning for large-model training and inference.
- Enterprise-readiness: revenue recognition, AR/CECL compliance, international accounting, and procurement controls.
Customers & Users
- Enterprise customers supported by sales and account teams (Account Executives, Enterprise Sales).
- Developers and product teams integrating Claude and multimodal model features.
- Internal stakeholders (Infrastructure, Finance, Security, Product) relying on procurement, capacity, and accounting workflows.
- Hardware/cloud vendors and hyperscale providers engaged via procurement and vendor management.
Workflows & Systems
- Full-stack model development pipeline spanning pretraining, finetuning, reinforcement learning, and production inference tied to product teams.
- Capacity strategy and operations workflow: observability, forecasting, automation, and tooling for compute planning.
- Procurement-to-pay workflows for capital-intensive compute (vendor onboarding, PO management, 2-way/3-way matching, reconciliation) with audit-readiness and SOX controls.
- Cross-functional collaboration across Research, Infrastructure, Finance, Security, and Product to operationalize research and manage costs.
- Financial close and revenue workflows including ASC 606 technical evaluations, AR operations, CECL compliance, and international accounting frameworks.
Role Insights
Machine Learning And Ai Engineering
Hiring research engineers to advance multimodal LLMs (audio, vision), work across pretraining/finetuning/RL, and translate research into product-facing Claude improvements.
Enterprise Sales And Account Management
Growing sales and account teams to commercialize Claude, manage enterprise relationships, and support customer integrations and deployments.
Cybersecurity Engineering
Security roles support safe, compliant compute and vendor onboarding (coordination with Procurement and Infrastructure) to protect datacenter and operational workflows.
Strategic Partnerships Manager
Hiring to build and manage strategic vendor and cloud relationships that enable large-scale compute procurement and operational partnerships.
Data Engineering And Infrastructure
Roles focused on capacity engineering, observability, automation, and tooling to forecast, optimize, and scale compute for model training and inference.
Account Executive
Bringing on AEs to drive revenue, coordinate with finance for commercial accounting, and support enterprise go-to-market initiatives.
Team Focus
- Machine Learning And Ai Engineering: 22 roles (7.1%)
- Enterprise Sales And Account Management: 21 roles (6.8%)
- Cybersecurity Engineering: 17 roles (5.5%)
- Strategic Partnerships Manager: 12 roles (3.9%)
- Data Engineering And Infrastructure: 11 roles (3.5%)
- Account Executive: 11 roles (3.5%)
- Sales: 10 roles (3.2%)
- Software Engineering Leadership: 9 roles (2.9%)
Skill Stack
Machine Learning And Ai Engineering
Enterprise Sales And Account Management
Cybersecurity Engineering
Strategic Partnerships Manager
Data Engineering And Infrastructure
Account Executive
Location Footprint
- CA, US: 134 roles (43.2%)
- NY, US: 77 roles (24.8%)
- WA, US: 23 roles (7.4%)
- United Kingdom: 23 roles (7.4%)
- Ireland: 16 roles (5.2%)
- Japan: 9 roles (2.9%)
- India: 4 roles (1.3%)
- Australia: 4 roles (1.3%)
Seniority Mix
- Mid: 230 roles (74.2%)
- Senior: 70 roles (22.6%)
- Entry: 8 roles (2.6%)
- Intern: 2 roles (0.6%)
Role Types
- full_time: 306 roles (98.7%)
- part_time: 2 roles (0.6%)
- internship: 2 roles (0.6%)