About the company
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.
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 in collaboration with sales and other parts of the organization that establish baseline expectations for performance.
- Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution.
- Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer 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/ML trends and the competitive landscape.
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 deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments.
- 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 at leading enterprise technology companies.
- 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.
Conditions
- Annual compensation range: $315,000 — $380,000 USD (OTE).
- Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time.
- Visa sponsorship available.