Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
Communication @ 7
Compliance @ 4
LLM @ 4
Machine Learning
Marketing
Scoping @ 4
Security @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is building a Forward Deployed Engineering team to help ambitious organizations adopt Claude through transformative, safe, and lasting AI solutions. Technical Deployment Leads own customer engagements end-to-end, while Forward Deployed Engineers own the technical artifacts and production applications.
As Manager of Technical Deployment for Financial Services, you will own engagement portfolio health, set delivery-quality standards, build scalable playbooks and evaluation frameworks, and influence Anthropic’s product direction. This is a player-coach role requiring credibility in architecture discussions with engineering leaders, executive-level customer presence, and the ability to lead complex engagements directly. You will not write production code, but you will pressure-test the technical decisions made by Technical Deployment Leads and Forward Deployed Engineers.
Responsibilities
- Hire, develop, and retain a team of Technical Deployment Leads supporting Financial Services engagements.
- Set standards for delivery judgment, technical fluency, and customer presence.
- Directly manage each Technical Deployment Lead through regular 1:1s, clear expectations, feedback, and growth plans.
- Own portfolio health, identify engagements that are on track or at risk, intervene when delivery drifts, and run engagement quality reviews.
- Own customer outcomes, maintain executive relationships, run steering committees, and represent Anthropic with senior business, risk, and engineering leaders.
- Work with Forward Deployed Engineering managers to staff engagements and adjust staffing as scope changes.
- Lead the most complex engagements, including delivery planning through production deployment.
- Set standards for statements of work, MVP scoping, value measurement, and defensible impact stories.
- Codify reusable solution patterns, evaluation frameworks, and technical playbooks.
- Partner with Sales to qualify engagements, shape scope, and inform statements of work.
- Partner with Marketing and Sales on Financial Services go-to-market materials, reference cases, and positioning.
- Run engagement reviews, knowledge-sharing sessions, escalation support, and team operating rhythms.
- Set team goals tied to customer outcomes.
- Surface delivery lessons and emerging Financial Services use cases to Product and Research.
- Uphold Anthropic’s values and ensure Technical Deployment Leads represent the company’s culture in customer environments.
- Travel to customer sites 25–50% of the time.
Requirements
- 8+ years of experience leading enterprise AI/ML delivery, including at least 3 years directly managing people responsible for delivery outcomes.
- Experience building and leading technical delivery teams in enterprise environments, ideally embedded or forward-deployed teams working at client sites.
- Experience delivering AI, ML, or LLM-based agentic solutions into production.
- Understanding of solution patterns, integration approaches, and production deployment challenges.
- Financial Services experience, including delivery of technology programs within banks, insurers, or asset managers.
- Understanding of how model risk, security, and compliance reviews affect technology deployments.
- Ability to communicate credibly with CIOs, chief risk officers, and heads of engineering.
- Ability to navigate architecture discussions, evaluate technical trade-offs, and assess whether proposed agent designs are realistic.
- Experience with value-based scoping, including total cost of ownership and return on investment quantification, as well as post-deployment impact measurement.
- Experience building a team, practice, or function from an early stage and creating structure in ambiguous environments.
- Executive presence and the ability to communicate effectively with senior leaders and delivery teams.
- Strong written and verbal communication skills, including the ability to translate technical complexity into clear narratives.
- Bachelor’s degree or an equivalent combination of education, training, and experience.
- Relevant field of study demonstrated through coursework, training, or professional experience.
Compensation
- Annual salary: $240,000–$450,000 USD.
Logistics and Benefits
- Location-based hybrid policy: Staff are expected to work from one of Anthropic’s offices at least 25% of the time; some roles may require more office time.
- Anthropic sponsors visas and makes reasonable efforts to assist with visa processes when an offer is made, supported by an immigration lawyer.
- Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces.