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Technical Deployment Lead

Lead the delivery of custom AI solutions for enterprise customers as a Technical Deployment Lead at Anthropic.

Location
Munich, Germany
Compensation
Not disclosed
Level
lead
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 5 hours ago

Last verified on the company career page 5 hours ago

Skills & Technologies

What you'll build

  • Own the technical delivery plan for each engagement
  • Lead delivery discovery
  • Run day-to-day engineering execution
  • Own product scoping during delivery
  • Own the customer relationship throughout delivery

Must have

  • Have led AI/ML engagements/deployments
  • Have delivered AI, ML, or LLM-based agentic solutions into production
  • Can navigate architecture discussions with engineering stakeholders
  • Have a track record delivering complex, high-stakes technical projects
  • Have executive presence

Nice to have

  • Experience in a specialized vertical (life sciences, pharmaceutical, retail, etc.)
  • Thrive in ambiguity and bring structure where none exists
  • Have a builder's mindset

Practical constraints

  • Travel to customer sites (up to 25–50% travel expected)
  • Currently, we expect all staff to be in one of our offices at least 25% of the time

Requirements

Education
Bachelor's degree
Visa
Sponsorship available

Not disclosed in this posting: compensation, years of experience.

Benefits

Unlimited PTO Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In the role of Technical Deployment Lead at Anthropic, the individual is responsible for managing the delivery of custom AI solutions for enterprise clients, overseeing everything from project scoping to deployment. This position requires a strong technical background in AI/ML, along with the ability to navigate complex stakeholder relationships and make critical decisions under pressure. Ideal candidates will have experience in high-stakes technical projects and a builder's mindset, as they will help establish new processes in a rapidly evolving environment. The role is suited for those who thrive in ambiguity and can effectively communicate with both technical and executive teams.

Joblaze insights

Quick facts

Is the Technical Deployment Lead role remote?
It's hybrid — Anthropic expects some on-site time in Munich, Germany.
Where is the role based?
Anthropic is hiring for this position in Munich, Germany.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
Does Anthropic sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Anthropic targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Technical Deployment Lead role at Anthropic.

From the original posting

About Anthropic

About the Role

As a Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes

Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments.

You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement.

This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now.

Responsibilities

  • Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against.
  • Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs.
  • Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
  • Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product.
  • Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
  • Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
  • Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research.
  • Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
  • Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
  • Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards.
  • Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected).

You May Be a Good Fit If You

  • Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
  • Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions.
  • Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
  • Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.).
  • Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
  • Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries.
  • Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
  • Thrive in ambiguity and bring structure where none exists.
  • Have a builder's mindset - you're here to create a function, not just join one.

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

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