Software Engineer, Enterprise AI Products at Anthropic
May no longer be active — verify on the employer site
At a glance
- Company
- Anthropic
- Location
- New York City, NY, United States
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Anthropic job
- 🏢 Anthropic has 53 jobs here, 36 with visa sponsorship see all
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design and implement enterprise-facing features and vertical-specific products that make Claude a daily tool for professionals.
- Collaborate directly with research to identify capability gaps, design post-training improvements, and ship model-driven product changes.
- Build and maintain plugins, skills, and extensibility infrastructure (discovery, composability, customization, distribution).
- Implement integrations and add-ins (e.g., Office/Excel/Word) that operate within host constraints and third-party APIs.
- Drive product adoption by diagnosing activation barriers and building systems to improve reliability, context, and workflow fit.
- Ensure secure handling of sensitive data and compliance for regulated verticals (e.g., HIPAA/FHIR in healthcare).
Requirements:
- Strong full-stack engineering experience shipping production software in enterprise or B2B contexts.
- Proficiency with frontend frameworks (JavaScript/TypeScript, React), backend systems, APIs, and integration patterns.
- Experience building extensibility platforms (plugins/skills), distribution/customization layers, or platform tooling.
- Familiarity working with ML/AI teams to translate product needs into model improvements.
- Experience with security, privacy, and compliance requirements relevant to enterprise/vertical products.
- Excellent communication skills for partnering with product, research, and external stakeholders.
Responsibilities
Engineers will build general-purpose enterprise features and purpose-built vertical AI products, collaborating directly with research to improve model capabilities for specific professional tasks. This involves identifying capability gaps, developing infrastructure for plugins/skills, and designing systems for unified context across multiple product surfaces.
Requirements
Candidates should possess strong full-stack engineering skills with experience shipping products in enterprise or B2B contexts, demonstrating a product-minded and user-oriented approach. Effective communication is crucial for engaging with diverse enterprise stakeholders and translating their needs into engineering work.
Key skills
- Full-Stack Engineering — in 13 other listings on The Stack
- Enterprise Product Development — not in any other listing on The Stack
- Product-Minded — not in any other listing on The Stack
- User-Oriented — not in any other listing on The Stack
- Frontend — in 3 other listings on The Stack
- Backend — in 2 other listings on The Stack
- APIs — in 34 other listings on The Stack
- Integrations — in 4 other listings on The Stack
- Stakeholder Communication
- Developer Tools
- Productivity Applications
- Extensibility Systems
- Office Add-ins
- JavaScript API
- Financial Data Systems
- Clinical Workflows
On The Stack (as of 2026-11-05)
Frequently asked questions about Anthropic
Is this Software Engineer, Enterprise AI Products role still open?
It was posted on 2026-03-06. Listings more than 30 days old may no longer be active, so check Anthropic's site before applying.
Does Anthropic offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Anthropic's site.
Where is this role located?
The listing gives the location as New York City, NY, United States.
What skills does this role ask for?
The listing names: Full-Stack Engineering, Enterprise Product Development, Product-Minded, User-Oriented, Frontend, Backend, APIs, Integrations, Stakeholder Communication, Developer Tools, Productivity Applications, Extensibility Systems, Office Add-ins, JavaScript API, Financial Data Systems, Clinical Workflows.