Anthropic3 days ago

Manager Applied AI Architecture, Financial Services

RUB 26,250–31,667per month · before tax
MARKET
65,900median for this role
AI Researcher · 37 jobs with disclosed pay
5,600half of the offers: 16,833–78,900143,300
At market · above 38% of offers
New York City

Responsibilities

  • 01Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development.
  • 02Set goals for your team that establish baseline expectations for performance in collaboration with sales and other cross-functional teams.
  • 03Act 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.
  • 04Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal use cases.
  • 05Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption.
  • 06Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building.
  • 07Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products.
  • 08Contribute to thought leadership through conference presentations, webinars, and technical content creation.
  • 09Stay current with emerging AI trends and the evolving ecosystem.
  • 10Lead and grow the pre-sales team that partners with account executives to help companies understand and deploy Anthropic’s products, including Claude Code, Cowork, and the Claude Development Platform (our API).
  • 11Leverage 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.

Requirements

  • 017+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role.
  • 023+ years of technical pre-sales management experience.
  • 03Have sold complex technical products to Financial Services companies.
  • 04Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts.
  • 05Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles.
  • 06Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments.
  • 07Have excellent communication, collaboration, and coaching abilities.
  • 08Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams.
  • 09Have at least a high level familiarity with the architecture and operation of LLMs.
  • 10Have a passion for making powerful technology safe and societally beneficial.
  • 11Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI.
  • 12Enterprise 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.
  • 13AI 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.
  • 14Deep FSI GTM Experience: Demonstrated success adapting technical approaches to customers in banking, insurance, payment providers, or asset management.
  • 15Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
  • 16Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
  • 17Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

What we offer

  • 01Location-based hybrid policy: expected to be in office at least 25% of the time.
  • 02Visa sponsorship available.