Workday
Account Executive, Platform - FSI
$130K–$195K
USA, NY, New York City +9 · Flex · Full-time · Posted Oct 21, 2026
- Location
- USA, NY, New York City
USA, MA, Boston
USA, CA, Remote
USA, WA, Seattle
USA, GA, Atlanta
USA, CA, Santa Clara
USA, CO, Boulder
USA, CA, San Francisco
USA, CO, Denver
USA, CA, Pleasanton - Experience
- P4: 5+ years enterprise SaaS sales and 3+ years in specified specialist sales. P5: 8+ years enterprise SaaS sales and 5+ years in specified specialist sales.
About the job
Sells Workday platform, data, analytics, AI, and extensibility solutions to enterprise technology leaders, managing complex sales cycles from discovery through close.
What you'll do
- Lead enterprise sales cycles, develop account strategies, and close multi-stakeholder opportunities.
- Build executive relationships and connect technical priorities to business value.
- Develop pipeline and coordinate internal teams and ecosystem partners.
What they ask for
- At P4: 5+ years of enterprise SaaS sales; 3+ years selling platform architecture, enterprise data strategy, or AI/analytics solutions to the Office of the CIO or CTO. At P5: 8+ years of enterprise SaaS sales; 5+ years selling platform, cloud architecture, enterprise data, or AI/analytics solutions to the Office of the CIO or CTO.
- Documented record of meeting or exceeding quota and closing multi-stakeholder enterprise deals of $500K+ ACV; high ARR account management is also specified for P4.
- Demonstrated co-prime or overlay success in collaborative, matrixed enterprise sales environments.
- Strong technical credibility in enterprise IT architecture, cloud data foundations, API orchestration, data privacy/security, and AI/ML platform integration.
Pay
$130,000 USD - $195,000 USD base salary (primary location); $130,000 USD - $195,000 USD base salary (additional US locations); $130,000 USD - $195,000 USD base salary (Colorado)
Tools
Workday, cloud architecture, API orchestration, AI/ML, data privacy/security, zero-copy architecture
AI focus
Sells Workday AI solutions and explains AI/ML platform integration, model orchestration, and autonomous agent capabilities to enterprise technology leaders.
Model-written summary · the original posting is authoritative