Manager of Applied AI Architecture, Commercial

Anthropic · San Francisco, CA | New York City, NY · Applied AI · listed August 20, 2026

The shape of it

Seniority
Manager
Experience asked
7+ years
Where
Not stated
Stated pay
$315,000 – $380,000 USD
Requirements listed
13
Length
1,492 words

In the posting’s own words

As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book.

What it asks for · 13

  • Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams
  • Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work
  • Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book
  • Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership
  • Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face
  • Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one
  • Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go
  • Have strong executive presence and can build trust with technical and business leaders alike
  • Have a genuine passion for making powerful technology safe and societally beneficial
  • Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch
  • Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500
  • Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them
  • A visible technical presence through conference talks, written content, or open-source contributions

What the job covers

  • Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed
  • Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly
  • Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback
  • Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no
  • Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate
  • Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many
  • Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB
  • Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering
  • Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking
  • Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier

Tools and skills named

Go to market
  • Go-to-market
  • Solutions architecture
Models & research
  • LLM2×
Ways of working
  • Mentorship
  • Testing
Frameworks
  • REST

Words the posting leans on

  • technical15×
  • architects12×
  • customer8×
  • claude7×
  • commercial7×
  • applied5×
  • engineering5×
  • leadership5×
  • sales5×
  • book4×
  • build4×
  • mid-market4×
  • tooling4×
  • account3×
  • agentic architectures3×
  • building3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.