You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.

You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.

You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Manage the technical delivery plan for each engagement.
• Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
• Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
• Supervise technical discovery: map customer workflows, identify constraints, define the MVP scope, and shape the solution architecture for custom agent deployments.
• Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
• Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic remote to senior commercial and technical executives in terms of technical credibility.
• Master value measurement and ROI: define impact hypotheses, establish baselines, and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
• BOYD reusable solution patterns, evaluation frameworks, and technical manuals. Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.

Navigating enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, when necessary.

Manage delivery operations: sprint ceremonies, step reviews, and progress reports.

Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).

Profile:

• More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, founders/startups, technical profiles, professional services, consulting, or enterprise software.
• Have deployed AI-based agent solutions, ML, or LLM. You understand applicable models, integration approaches, and reality on the ground.
• Can hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical direction of engagements alongside Forward Deployed Engineers.
• Have experience delivering complex, high-stakes technical projects for enterprise customers, whose results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
• Have an assertive personality: you're comfortable, credible, and able to represent Anthropic in high-stakes environments.
• Overcome ambiguous contexts and bring structure where there isn't.
• Have a builder mindset: you're here to create a function, not occupy it.

Additional assets:

• Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
• Experience in a field-deployed engineering organisation or professional services and consulting firms.
• Exceptional understanding of LLM capabilities and limitations.
• Experience with regulated industries and compliance requirements.
• Experience managing delivery teams with integrated engineers on customer sites.
• Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• 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 for field engagements. Define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• 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.

• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% 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.

• 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 specialised vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).

• Can lead 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 join one.

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: $200,000-$345,000 USD

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