Salesforce
Enterprise Account Executive – Data Foundation (MuleSoft + Informatica) or Enterprise Account Executive - Informatica Specialist
$123K–$236K
New York - New York +11 · Office - Flexible · Full-time · Posted Sep 22, 2026
- Location
- New York - New York
Illinois - Chicago
Massachusetts - Boston
Washington - Seattle
California - Remote
Texas - Dallas
New York - Remote
Texas - Remote
Colorado - Denver
Georgia - Atlanta
Texas - Austin
California - San Francisco - Experience
- 10+ years of full-cycle B2B sales experience.
About the job
Sells Salesforce’s enterprise data and integration products to strategic accounts, either as the account-owning lead for MuleSoft and Informatica or as an Informatica specialist supporting prime account executives.
What you'll do
- Build executive relationships and account plans focused on customer outcomes.
- Coordinate internal specialists and teams to advance deals and communicate the value of MuleSoft, Informatica, and Salesforce products.
- Generate new opportunities and drive quota attainment, account growth, or targeted Informatica expansion, depending on track.
What they ask for
- 10+ years of full-cycle B2B sales experience.
- Track record selling complex technical platforms, with market awareness in Integration, API Management, or Data Management.
- Ability to translate technical capabilities into executive-level business outcomes.
- Experience leading and strategizing within a matrixed, extended overlay team structure.
Nice to have
- Formal sales methodology training such as MEDDPICC, SPIN, or Challenger Sales.
- Relevant technical solution architecture or management consulting background.
Pay
$123,200 - $214,400 annually (USD, base salary); $135,300 - $235,850 per year (USD, base pay)
Tools
MuleSoft, Informatica, Intelligent Data Management Cloud™ (IDMC), Data Cloud, API Management
AI focus
Connect data and integration strategy to real-world AI outcomes; sell products that support enterprise AI. Salesforce also uses AI tools to assist recruiters in assessing candidates, with humans making selection and hiring decisions.
Model-written summary · the original posting is authoritative