# Manager of Solutions Architecture, Applied AI (Industries)

**Company**: Anthropic
**Location**: San Francisco, CA | New York City, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $270,000-$345,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/4964610008
**Canonical**: https://yubhub.co/jobs/job_86f8a410-0b9

## Description

Job Title: Manager of Solutions Architecture, Applied AI (Industries)

About the Role:

As the manager of the Industries Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go-to-market organisation. Our Industries customers include Fortune 500 companies within verticals like financial services, healthcare life sciences, and retail.

Responsibilities:

- Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.

- Set goals for your team in collaboration with sales and other parts of the organisation that establish baseline expectations for performance.

- Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution.

- Partner closely with Industries sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.

- Work with cross-functional teams like product and engineering to ensure Anthropic prioritises customer feedback or resolves blockers to adoption.

- Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.

- Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products.

- Contribute to thought leadership through conference presentations, webinars, and technical content creation.

- Stay current with emerging AI/ML trends and the competitive landscape.

Requirements:

- 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.

- 3+ years of technical pre-sales management experience.

- Have sold complex technical products to Fortune 500 companies, especially in verticals like financial services, healthcare life sciences, and retail.

- Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments.

- Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments.

- Have excellent communication, collaboration, and coaching abilities.

- Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at Fortune 500 companies.

- Have at least a high level familiarity with the architecture and operation of LLMs.

- Have a passion for making powerful technology safe and societally beneficial.

- Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.

Preferred Qualifications:

- Enterprise pre-sales leadership at scale: 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments.

- AI Technical Depth + Executive Engagement: Hands-on experience with AI 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 (commercial to Fortune 100).

Salary: The annual compensation range for this role is $270,000-$345,000 USD.

## Skills

### Required
- Solutions Architecture
- Sales Engineering
- Pre-sales Technical Role
- Enterprise AI Use Cases
- API Integrations
- LLM Deployments
- Team Management
- Technical Guidance
- Career Development
- Communication
- Collaboration
- Coaching
- Executive Presence

### Nice to have
- Enterprise Pre-sales Leadership
- AI Technical Depth
- Executive Engagement
- Multi-Segment GTM Experience