Manager of Applied Artificial Intelligence Architecture (Startups)

Join Anthropic, a leading AI safety and research company, as the Manager of Applied Artificial Intelligence Architecture for Startups. In this role, you will lead a team of technical architects to help startups build AI-native products using the Claude Developer Platform. You will set the vision for technical partnership in the startup segment, develop a high-performing team, and personally manage relationships with Anthropic's most strategic early-stage accounts. This position requires a proven technical go-to-market leader with experience in building and developing high-performing teams, a passion for making technology safe and beneficial, and a deep understanding of the startup ecosystem.

- Conduire l'adoption de l'IA de pointe en dirigeant une équipe d'architectes techniques pour aider les startups à construire des produits natifs à l'IA. - Établir la vision de ce à quoi ressemble un excellent partenariat technique dans le segment des startups, développer une équipe performante et entretenir des relations avec les comptes stratégiques. - Définir les manuels de jeu pour le développement et l'évaluation des clients, établir des normes d'excellence technique et faire croître l'équipe.

- Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work - Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly - Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title - Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks - Have a genuine passion for making powerful technology safe and societally beneficial - Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system - Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams - Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey - Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position - Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience - Visa 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 - We encourage you to apply even if you do not believe you meet every single qualification - 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 - Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience - Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating - A track record of winning competitive technical evaluations against other LLM providers - Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment - A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions - Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly