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. You will also define playbooks for nurturing and scaling new customers, drive team performance, and ensure your team consistently surfaces insights on how startups are building with Claude.

• 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 des relations de confiance avec les fondateurs et les ingénieurs en soutenant leurs ambitions techniques, de la phase de produit initiale à l'échelle.
• Définir les manuels de jeu pour le développement et l'expansion des nouveaux clients, établir des normes d'excellence technique et développer l'équipe.
• You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts
• 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
• Have a genuine passion for making powerful technology safe and societally beneficial
• 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
• 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
• 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
• 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
• 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
• Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks
• 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
• Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly
• A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification