Manager, Technical Deployment (Financial Services)
About this role
Anthropic needs a leader to bridge the gap between advanced artificial intelligence and complex production deployments within the financial services sector. Financial institutions struggle to adopt large language models safely while navigating strict regulatory frameworks, model risk, and compliance reviews.
This player-coach role combines direct team management with high-stakes customer advisory work. The selected manager will build, mentor, and guide a team of Technical Deployment Leads who embed with strategic banking, insurance, and asset management clients. Success in this position requires balancing deep technical fluency in machine learning architectures with executive presence to steer multi-million dollar deployments and translate field lessons directly back to product and research teams.
What you will do
- Hire, mentor, and retain a team of Technical Deployment Leads embedded in financial services engagements while running interviews to maintain high delivery standards.
- Manage portfolio health across the vertical by tracking project milestones, intervening early when delivery drifts, and running regular quality reviews.
- Own executive relationships with customer sponsors, run steering committees, and represent company credibility with senior business, risk, and engineering leaders.
- Make staffing decisions for each engagement by matching deployment leads and forward-deployed engineers to customer scopes.
- Lead the most complex engagements directly when regulatory exposure, organization size, or technical complexity demands hands-on direction.
- Codify reusable solution patterns, evaluation frameworks, and technical playbooks to help the deployment practice scale effectively.
- Partner with sales, marketing, and product teams to shape statements of work, inform go-to-market materials, and surface emerging use cases.
What you need
- Bring over eight years of experience leading enterprise artificial intelligence or machine learning delivery, including at least three years of direct people management.
- Demonstrate a track record of building and leading technical delivery teams in enterprise environments, ideally with embedded or client-site experience.
- Have direct experience delivering artificial intelligence, machine learning, or large language model agentic solutions into production environments.
- Possess depth in the financial services sector with familiarity regarding model risk, security, and compliance reviews inside banks, insurers, or asset managers.
- Show the ability to navigate complex architecture discussions with engineering stakeholders and evaluate technical trade-offs objectively.
- Bring experience with value-based scoping, total cost of ownership quantification, and post-deployment impact measurement.
- Demonstrate executive presence and the communication skills needed to translate technical complexity into clear narratives for diverse audiences.
Skills and tech stack
Questions candidates ask
What is the remote or hybrid policy for this role?
The position features a location-based hybrid policy. Staff are expected to be in one of the company offices at least 25% of the time, though certain responsibilities may require more in-office presence.
What is the compensation range for this position?
The annual compensation range for this role is $240,000 to $450,000 USD. Because this is a sales-aligned management role, the provided range represents the On Target Earnings, which includes both the sales commissions or bonuses target and the annual base salary.
Will the company sponsor visas for international candidates?
The organization does sponsor visas when possible. If an offer is extended, the team makes every reasonable effort to secure a visa with the assistance of a retained immigration lawyer.
How much travel is required for this deployment role?
Travel to customer sites is an expected component of the position. Candidates should anticipate travel ranging between 25% and 50% of the time.