Manager, Applied Ai Engineering (megas)

About the Role

Lead and grow a team of Applied AI Engineers embedded with Anthropic’s largest strategic accounts (Megas), guiding LLM architecture, advanced prompting and agentic implementations, and driving production deployments and partner-facing technical strategy while partnering across Sales, Product, and Research.

Directly centered on LLM work (Claude) with advanced prompting and agent patterns—hands-on vibe coding and building AI integrations with partners.

Location: San Francisco, CA | New York City, NY; San Francisco, CA | Seattle, WA

Salary: USD 320,000 - 405,000/year

Posted: 2 days ago

Category: AI/ML & Data

Vibe Markers: 💻 Open Source, 🔥 Hot

Experience Level: Senior

Job Description

Role

As Manager, Applied AI Engineering (Megas) you will lead a team of technical engineers embedded with Anthropic’s largest partner-customers. You will hire, coach, and grow account-aligned pods that co-design and co-build complex Claude/LLM solutions, advise on architecture and evaluation, and guide customers from discovery through production deployment.

Key Responsibilities

• Build, coach, and scale a customer-facing Applied AI Engineering team; hire, onboard, and develop engineers.
• Staff engineers into account-aligned pods alongside Applied AI Architects and coordinate expertise across the segment.
• Define performance goals, metrics, reporting cadence, and dashboards to track team health and impact.
• Serve as senior technical advisor to Mega product and engineering leaders on production Claude workloads, architecture, evaluation strategy, advanced prompting, and agentic patterns.
• Lead hands-on co-build initiatives from prototypes and pilots to production deployments.
• Balance partner-customer duality: support direct consumption and distribution of Claude through partner platforms and marketplaces.
• Act as a technical escalation point and sequence technical work with pod leads and Mega Sales.
• Produce shared assets (reference architectures, agentic patterns, evaluation frameworks) to scale learnings across accounts.
• Collaborate with Product and Research to surface Mega-driven requirements and advocate for high-impact product changes.
• Contribute thought leadership through talks, blog posts, and white papers.
• Maintain current knowledge of LLM capabilities, implementation patterns, and the AI product development stack.
• Travel to customer sites for workshops, executive technical sessions, implementation support, and represent Anthropic publicly.

Requirements

• 6+ years in technical roles (e.g., Forward Deployed Engineer, Software Engineer, Solutions/Sales Engineer, Technical Product Manager).
• 4+ years operating in a formal leadership capacity; experience managing managers or multiple teams is preferred.
• Demonstrated success hiring, coaching, and scaling customer-facing technical teams in fast-moving environments.
• Experience supporting large, named strategic accounts at a platform, infrastructure, or model company (customer + partner relationships preferred).
• Production experience with LLMs, including advanced prompt engineering, agent development/frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale.
• Strong programming proficiency in Python or TypeScript and experience building production applications.
• Track record engaging senior technical stakeholders and influencing technical architecture and partner product roadmaps.
• Experience running mixed pre-sales and hands-on engineering teams.
• Strong communication, cross-organizational collaboration, and the ability to navigate ambiguity.
• Passion for safe, beneficial AI systems.

Strong Pluses

• Background at a hyperscaler, foundation model lab, or large ISV in strategic-accounts or alliances technical roles.
• Experience with marketplace, embed/OEM, or co-sell motions.
• Prior forward-deployed engineering leadership and public speaking/executive briefing experience.

Compensation & Logistics

• Annual salary range: $320,000 — $405,000 USD.
• Minimum education: Bachelor’s degree or equivalent experience.
• Location policy: Expectation to be in an Anthropic office at least ~25% of the time (location-based hybrid policy).
• Visa sponsorship: Anthropic indicates they do sponsor visas and provide immigration support.

Tech Stack

Claude, LLMs, Python, TypeScript, prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP

Skills

Team leadership, Hiring, Coaching and mentoring, Technical mentorship, Stakeholder management, Cross-functional collaboration, Customer-facing engineering, Technical strategy, Architecture review, Evaluation and metrics, Communication, Public speaking, Program and account coordination, Pre-sales and delivery integration, Problem solving in ambiguous contexts

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours
• Visa sponsorship and immigration legal support
• Conference and speaking opportunities