Drimva

Anthropic

AI Outcomes Manager, Financial Services

$200K–$265K

San Francisco, CA +4 · Manager · Full-time · Posted Aug 17, 2026

Location
San Francisco, CA
Seattle, WA
New York City, NY
Washington, DC
San Francisco, California, United States
Experience
6+ years in Customer Success, Technical Account Management, or Solutions Engineering. The posting also says minimum years correlate with internal job level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; the company says it will make reasonable efforts to obtain a visa for candidates it offers.

About the job

Partners with financial services customers to increase adoption and value from Anthropic’s Claude products, advising on usage, optimization, change management, and expansion.

What you'll do

  • Build strategic customer relationships and guide customers on Claude products, usage planning, and optimization.
  • Measure customer outcomes and ROI, identify expansion opportunities, and develop adoption and change-management plans.
  • Own customer success plans and business reviews, coordinating between customers and Anthropic teams.

What they ask for

  • 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering.
  • Experience working with enterprises in Financial Services and deep understanding of FSI regulatory, risk, and compliance needs.
  • Technical fluency to discuss AI/ML concepts, API integrations, and software implementation patterns with varied stakeholders.
  • Experience driving success across consumption-based and seat-based business models.

Pay

$200,000 — $265,000 USD (annual salary; base salary or total pay not specified)

Tools

Claude Enterprise, Claude Code, API, Claude for Enterprise, AI/ML

AI focus

Help financial services customers adopt, optimize, and expand their use of Claude and AI, while translating customer insights into product and research priorities.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)