Manager Applied AI Architecture, Financial Services
$10k - $50k • New York City, NY; San Francisco, CA | New York City, NY
Posted 2d ago
Job Location
New York City, NY; San Francisco, CA | New York City, NY
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
As manager of the Financial Services Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the go-to-market organization. You will lead and grow a pre-sales team that partners with account executives to help companies in banking, insurance, asset management, and payment providers understand and deploy Anthropic’s products, including Claude Code, Cowork, and the Claude Development Platform. This role involves leveraging technical skills and consultative sales experience to hire talent, establish scalable processes, and represent Anthropic at strategic customer engagements.
Responsibilities
- Hire, manage, and guide a team of pre-sales Solutions Architects, providing technical guidance and career development.
- Set team performance goals in collaboration with sales and cross-functional teams.
- Act as a technical sponsor for high-value strategic customers, advising on AI adoption strategies and use case scoping.
- Partner with sales leadership to develop new strategies for product adoption within specific verticals.
- Collaborate with product and engineering teams to prioritize customer feedback and resolve adoption blockers.
- Travel to customer sites or conferences for executive 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 trends and the evolving ecosystem.
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.
- Experience selling complex technical products to Financial Services companies.
- Deep technical proficiency with enterprise AI use cases, API integrations, or enterprise solution rollouts.
- Understanding of go-to-market organizations anchored on a consumption business model.
- Proven ability to build and scale teams and processes in ambiguous, fast-moving environments.
- Excellent communication, collaboration, and coaching abilities.
- Strong executive presence and ability to foster relationships with technical leaders.
- High-level familiarity with the architecture and operation of LLMs.
- Passion for making powerful technology safe and societally beneficial.
- Active interest in emerging research and industry trends within AI.
- 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people).
- Hands-on experience with AI platforms and enterprise integration patterns.
- Proven track record engaging C-level stakeholders in large technical evaluations.
- Demonstrated success adapting technical approaches to customers in banking, insurance, payment providers, or asset management.