Manager, Applied AI Engineering (Megas)
San Francisco, CA | New York City, NY; San Francisco, CA | Seattle, WA
Posted 11h ago
Job Location
San Francisco, CA | New York City, NY; San Francisco, CA | Seattle, WA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of technical engineers working closely with Anthropic's largest and most strategic accounts. These partner-customers use Claude to transform their businesses and distribute it through their platforms. Your team will collaborate with their product and engineering organizations to co-design technical solutions, advise on architecture, develop evaluation frameworks, and guide advanced LLM implementation patterns.
You will be responsible for hiring, coaching, and growing this team while maintaining a high bar for engineering judgment. Your engineers will work in account-aligned pods with Applied AI Architects, and you will partner with various internal teams including Sales, Partnerships, Product, and Research. You will guide your team from technical discovery through production deployment, establish best practices from successful engagements, and channel customer requirements back into Anthropic's product and research roadmap, all while upholding high standards for safety and reliability. This role is at the forefront of LLM capabilities and will define how Anthropic scales its technical impact with key relationships.
Responsibilities
- Build, coach, and grow a team of Applied AI Engineers serving Mega accounts, including hiring, development, and onboarding.
- Staff engineers into account-aligned pods, balancing account continuity with flexible expertise allocation.
- Set performance goals and establish metrics to track team health and impact for stakeholders.
- Serve as a senior technical advisor to Mega account leaders on production LLM deployments, guiding architecture, evaluation, and advanced patterns.
- Lead hands-on co-build initiatives with Mega engineering teams from prototypes to production deployments.
- Navigate the partner-customer dynamic, supporting direct consumption and distribution of Claude.
- Act as a technical escalation point for team accounts and partner with sales to maximize customer value.
- Build shared assets like reference architectures and evaluation frameworks across pods.
- Collaborate with Product and Research to advocate for high-impact product changes based on Mega-driven requirements.
- Champion scalable assets documenting LLM techniques and contribute thought leadership.
- Maintain current knowledge of LLM capabilities and implementation patterns to provide practical guidance.
- Travel to customer sites for workshops and support, and represent Anthropic at conferences.
Requirements
- 6+ years of experience in technical roles (e.g., Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, Technical Product Manager).
- 4+ years of experience in a formal leadership capacity, preferably as a manager of managers or multiple teams.
- Demonstrated success in hiring, coaching, and scaling customer-facing technical teams, ideally in a fast-moving environment.
- Experience supporting large, strategic accounts at a platform, infrastructure, or model company, where the account was both a customer and partner.
- Production experience with LLMs, including prompt engineering, agent development, evaluation frameworks, and large-scale deployment.
- Strong programming skills in Python or TypeScript and experience building production applications.
- Track record of engaging senior technical stakeholders and influencing technical decisions.