Celonis
Client Director - Financial Services
$211K–$250K
Remote, US, New York +1 · Remote · Director · Full-time · Posted Jul 22, 2026
- Location
- Remote, US, New York
New York, US, New York - Experience
- 12+ years in enterprise SaaS sales or strategic account management; at least 5 years managing accounts with $5M+ ARR. Comfortable with 12–24+ month expansion arcs.
- Visa sponsorship
- Visa sponsorship is not offered for this role.
About the job
Leads commercial strategy and growth for a small portfolio of major Financial Services accounts, positioning Celonis as a strategic enterprise AI platform.
What you'll do
- Own C-suite customer relationships and commercial strategy, including expansion, renewals, and multi-year agreements.
- Grow and protect account revenue by converting adoption and realized value into renewal confidence and expansion opportunities.
- Maintain account plans, pipeline strategy, risk mitigation, and forecast accuracy; develop reusable approaches for the wider Strategic Accounts practice.
What they ask for
- 12+ years in enterprise SaaS sales or strategic account management, including at least 5 years managing accounts with $5M+ ARR.
- Deep Financial Services industry expertise and a track record of growing ARR in named accounts over multiple years.
- C-suite executive presence and experience navigating enterprise transformations and complex buying decisions.
- Experience with ROI modeling, TCO analysis, value benchmarking, and team selling across internal and external stakeholders.
Nice to have
- Direct experience with large financial institutions leading transformation initiatives or working as a strategic consultant or Client Director.
- Background in ERP, Supply Chain, Finance transformation, or AI-native enterprise platforms; familiarity with agentic AI, automation, or intelligent process orchestration.
Pay
$211,000 — $250,000 USD (base salary)
Tools
Celonis Platform, Process Intelligence, LLM, ERP
AI focus
Position Celonis within customers’ AI strategies, connecting Process Intelligence to LLM, automation, and agentic AI investments as a foundational data and orchestration layer.
Model-written summary · the original posting is authoritative