About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

The Claude Agentic Solutions team is Anthropic's forward-deployed engine — embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.

You will own how Anthropic Solutions shows up in your industry segment — from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team's vertical expertise, and ensure every engagement produces outcomes worth repeating.

You will lead a team of Forward Deployed Engineers — responsible for building not just individual solutions, but the reusable patterns, use case library, and engagement frameworks that allow the practice to scale.

Responsibilities

Tech Leadership

Lead and grow a team of Forward Deployed Engineers and embedded within your vertical.
Provide active delivery oversight — review SOWs before signature, participate in architecture decisions on complex engagements, and serve as the escalation layer when delivery is at risk.
Develop your team's vertical fluency: help FDEs understand the regulatory environment, data constraints, and stakeholder dynamics specific to your industry.
Hire for your team: define role requirements, evaluate candidates, and make judgment calls on who will succeed in this specific context.
Serve as the senior Anthropic presence in strategic customer conversations, including C-suite and board-level engagements where enterprise AI direction is being set.
Run operating cadences — monthly engagement reviews, knowledge-sharing sessions, and escalation support for active engagements — while participating in or running client steering committees and unblocking delivery when at risk.

Use Case Library & Reusable Patterns

Ensure the vertical use case library and reusable asset repository are maintained, prioritized, and mapped to business impact and implementation complexity.
Systematically surface learnings from delivery back to product and research teams, identifying where customer environments reveal model limitations, platform gaps, or roadmap opportunities.
Track emerging AI capabilities and assess their relevance for your vertical; bring forward new use case opportunities before clients ask for them.
Partner with product teams to ensure delivery insights translate into platform improvements and roadmap decisions.

Commercial Leadership

Partner with Marketing and Sales to develop vertical-specific GTM materials, reference cases, and positioning that reflect what actually wins in your industry.
Own the qualified pipeline for your vertical — working with Sales and Account Executives to identify, shape, and progress enterprise AI opportunities from first conversation to signed SOW.
Define how Anthropic goes to market with the Solutions offering in your vertical — including engagement structures, and partnership dynamics.
Represent your vertical internally — bring the voice of your segment into product, and go-to-market discussions at the leadership level.

You May Be a Good Fit If You Have

8+ years of experience spanning enterprise AI/ML delivery, management consulting (Big 3 / Big 4), or enterprise tech professional services — with at least 3 years in a senior leadership capacity owning commercial outcomes.
Comfort operating in ambiguity and building processes where none exists — you've worked in early-stage, founder, or 0-to-1 environments, and can establish practices from scratch rather than executing within well-defined frameworks.
Deep domain expertise in your vertical: you should be able to speak credibly with a CEO, CIO, and other executive SMEs.
A track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed engineers working at client sites.
Demonstrated ability to carry pipeline and close complex enterprise deals — you understand procurement, know how to navigate large organizations, and can move opportunities forward.
Strong technical fluency to review SOW scope, participate in architecture discussions, evaluate trade-offs, and judge whether a proposed approach is realistic — without being the one writing the code.
Experience navigating regulated industry environments.
Executive presence and communication skills: you can present to a board or run a difficult conversation.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

£255,000—£325,000 GBP

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Manager of Forward Deployed Engineering, Applied AI

Job Description