Manager of Applied AI Architecture, Enterprise Tech (Cyber)

Anthropic · New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA · Applied AI · listed April 24, 2026

The shape of it

Seniority
Manager
Experience asked
3–7 years
Where
Not stated
Stated pay
$315,000 – $380,000 USD
Requirements listed
16
Length
1,383 words

In the posting’s own words

As the manager of the Applied AI Architect, Enterprise Tech (Cyber) team at Anthropic, you will drive the adoption of frontier AI across the cybersecurity industry — enabling leading security companies to build Claude into their detection, response, and security operations products via Anthropic's API, Claude Code, and Claude for Enterprise. You'll leverage your technical skills and consultative sales experience to help security vendors ship AI-powered capabilities that meet the industry's exacting standards for reliability, accuracy, and safety.

What it asks for · 16

  • 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
  • 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
  • Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
  • Experience with the unique technical requirements and technical procurement process of enterprise tech companies
  • Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
  • Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
  • Have excellent communication, collaboration, and coaching abilities
  • Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
  • Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
  • Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
  • Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
  • Make ambiguous problems clear and identify core principles that can translate across scenarios
  • Have a passion for making powerful technology safe and societally beneficial
  • Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

2 more in the original.

Also a plus

  • Enterprise SA Leadership at Scale : 5+ years leading solution architect teams through hypergrowth (ideally 10→50+ people), with direct experience managing both senior SAs and developing junior talent in complex enterprise software environments
  • AI/ML Technical Depth + Executive Engagement : Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles
  • Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (startup to Fortune 500), with experience spanning the full deal spectrum from $2M employee empowerment through $100M+ core business transformation initiatives

What the job covers

  • Manage and mentor a team of Applied AI Architects, Enterprise Tech (Cyber) providing both technical guidance and career development
  • Set goals and reviews for your team, promoting growth and output
  • Work with a handful of highest-value Enterprise Tech customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
  • Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Enterprise Tech (Cyber) customers
  • Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
  • Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
  • Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships
  • Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
  • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases
  • Contribute to thought leadership through conference presentations, webinars, and technical content creation
  • Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector

Tools and skills named

Go to market
  • Go-to-market4×
  • SaaS2×
  • Enterprise sales
  • Partnerships
  • Solutions architecture
Models & research
  • Machine learning4×
  • LLM3×
  • Evaluations
  • Prompt engineering
Security & compliance
  • Security3×
Ways of working
  • Cross-functional
  • Mentorship

Words the posting leans on

  • technical19×
  • enterprise18×
  • experience11×
  • enterprise tech9×
  • customer7×
  • architect5×
  • pre-sales5×
  • products5×
  • solutions5×
  • drive4×
  • industry4×
  • sales4×
  • tech cyber4×
  • adoption3×
  • ai/ml3×
  • building3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.