Anthropic3 days ago
Manager Applied AI Architecture, Healthcare & Life Sciences
RUB 26,250–31,667per month · before tax
MARKET
30,208 ₽median for this role
AI Researcher · 30 jobs with disclosed pay
5,600half of the offers: 16,410–78,975131,300
At market · above 47% 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
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 Healthcare and Life Sciences 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
- 12Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- 13Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- 14Minimum 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: Currently, we expect all staff to be in one of our offices at least 25% of the time
- 02Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this