Manager of Applied AI Architecture, Commercial

Responsibilities

• Manage, coach, and grow a team of Commercial Applied AI Architects, setting standards for technical credibility, customer impact, and speed.
• Own hiring, interviewing, onboarding, performance reviews, goal setting, and career development for the team.
• Define qualification and prioritization frameworks for technical engagement across a large commercial customer base.
• Partner with architects on consequential customer engagements from discovery through deployment and expansion.
• Build technical playbooks for Claude API integrations, Claude Code rollouts, Agent SDK architectures, and Claude for Enterprise deployments.
• Convert customer wins into reusable demos, blueprints, tooling, and enablement assets.
• Partner with sales leadership and Account Executives on segment strategy, coverage, and the AE-to-architect operating model.
• Surface customer implementation patterns and provide actionable feedback to Product and Engineering.
• Represent Anthropic at customer sites, workshops, roadshows, and events, including through technical content and speaking.
• Keep the team current on agentic architectures, evaluation design, context engineering, and AI developer tooling.

Requirements

• 7+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Forward Deployed Engineer.
• 3+ years managing pre-sales or technical go-to-market teams.
• Experience hiring, coaching, providing direct feedback, and developing technical teams.
• Experience leading teams in high-velocity, high-volume sales environments and allocating scarce technical resources.
• Experience building and deploying LLM-powered applications and understanding the distinction between prototypes and production systems.
• Familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling.
• Systems-oriented approach to creating scalable solutions.
• Comfort operating in ambiguous, early-stage environments.
• Strong executive presence and ability to build trust with technical and business leaders.
• Passion for making powerful technology safe and societally beneficial.
• Bachelor's degree or equivalent combination of education, training, and experience in a relevant field.

Nice-to-haves

• Experience scaling a technical pre-sales or forward-deployed team, including hiring standards, onboarding, and coaching systems.
• Experience selling to and building for mid-market companies.
• Experience rolling out AI coding assistants or developer tools within engineering organizations.
• Technical presence through conference talks, written content, or open-source contributions.

Compensation

• Annual compensation range: $315,000–$380,000 USD.
• For sales roles, the range represents on-target earnings and includes target commissions or sales bonuses and base salary.
• Hybrid policy: staff are generally expected to work from an office at least 25% of the time.
• Visa sponsorship may be available.