Manager Applied AI Architecture, Financial Services
New York City, United States · On-site · Full-time
- Posted 1mo ago
- From Anthropic’s careers page
- Location
- New York City, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Senior
- Experience
- 7+ years
- Department
- Other
Opens the listing on job-boards.greenhouse.io
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About the role
About the Role:
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 rest of the go to market organization. We work with customers that include companies across banking, insurance, asset management, and payment providers. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude Code, Cowork, and the Claude Development Platform (our API). This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements.
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 that establish baseline expectations for performance in collaboration with sales and other cross-functional teams.
- Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment.
- Partner closely with 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 prioritizes 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 trends and the evolving ecosystem.
You may be a good fit if you
- 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 Financial Services companies.
- Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts.
- Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles.
- 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.
- 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.
Strong candidates may have
- 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.
- Deep FSI GTM Experience: Demonstrated success adapting technical approaches to customers in banking, insurance, payment providers, or asset management.
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About Anthropic
AI research and safetyAnthropic researches and builds AI systems, with work spanning model development, safety, and societal impacts.
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