Salesforce
Enterprise Technical Account Executive
$123K–$273K
California - San Francisco +9 · Office - Flexible · Full-time · Posted May 1, 2026
- Location
- California - San Francisco
Illinois - Chicago
New York - New York
Massachusetts - Boston
Washington - Seattle
Minnesota - Remote
Texas - Dallas
Michigan - Remote
Georgia - Atlanta
Texas - Austin - Experience
- 5+ years in enterprise sales; no alternatives stated.
About the job
Own the full sales cycle for strategic enterprise customers, advising technical and business stakeholders on Salesforce solutions and driving account strategy, platform adoption, and deal progression.
What you'll do
- Lead technical discussions and explain how Salesforce products integrate to address business outcomes.
- Develop long-term account or territory strategy focused on platform adoption and customer objectives.
- Build executive and technical relationships, and coordinate Salesforce teams to advance deals and realize customer value.
What they ask for
- 5+ years of enterprise sales experience selling complex, multi-product SaaS or cloud solutions.
- Deep technical acumen from experience such as Solutions Architect, Sales Engineer, Technical Consultant, or Platform Specialist.
- Track record of consistently meeting or exceeding annual quotas or goals.
- Experience managing and growing large, complex enterprise accounts or territories, focused on expansion and platform consolidation.
Nice to have
- Familiarity with Salesforce AI, Data Cloud, platform integration, or MuleSoft, or competing enterprise cloud platforms.
- Experience selling to a listed industry, or ability to map multi-cloud solutions to complex customer challenges through consultative discovery and solution design.
Pay
$123,200 - $247,800 annually (base salary); $135,300 - $272,600 per year (base salary)
Tools
Salesforce, Data Cloud, MuleSoft, Slack, Agentforce, Software as a Service (SaaS)
AI focus
May sell Agentforce and AI-related Salesforce solutions; Salesforce also uses AI tools to help assess candidates’ resumes and qualifications, with humans making hiring decisions.
Model-written summary · the original posting is authoritative