About the Position

Manager Applied AI Architecture, Financial Services

New York City, NY; San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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.

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 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.

Nice to 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.

We Offer

Competitive compensation with an annual salary range of $315,000-$380,000 USD.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours.
Lovely office space in San Francisco or New York City.
Visa sponsorship available.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Manager Applied AI Architecture, Financial Services

Job description