Salesforce
Customer Success Manager (Informatica)
$99K–$203K
Indiana - Indianapolis +3 · Office - Flexible · Manager · Full-time · Posted Aug 11, 2026
- Location
- Indiana - Indianapolis
Illinois - Chicago
Georgia - Atlanta
Washington - Seattle - Experience
- 3–4 years; the posting describes this as preferably relevant industry expertise and separately requires 3–4 years supporting enterprise cloud data-management platform customers.
About the job
Manages enterprise customers using Informatica data-management platforms, coordinating Signature services and advising on adoption, technical health, customer value, renewals, and expansion.
What you'll do
- Coordinate Signature deliverables and serve as the main point of customer accountability, managing the customer experience, renewals, and expansion.
- Build stakeholder relationships and advise customers on aligning business value and technical goals with platform capabilities.
- Monitor product health, adoption, risks, and incidents; conduct quarterly reviews and coordinate with internal teams on customer success.
What they ask for
- 3–4 years of relevant industry expertise, preferably in Customer Success, SaaS platform use, Data Management, or related fields.
- 3–4 years supporting customers using enterprise cloud data-management platforms.
- Strong consulting, communication, and stakeholder-influence skills, including the ability to facilitate discussions and translate technical concepts into business terms.
- Working knowledge of data integration (ETL, ELT), data governance, Master Data Management (MDM), data quality, application integration and business processes, and API management; experience with complex renewals and cloud migrations.
Nice to have
- Salesforce product certifications such as AI Associate, Administrator, Advanced Administrator, Platform App Builder, Data 360 Specialist, or Agentblazer.
- Guiding legacy On-Premises customers through cloud modernization strategies.
Pay
$99,400 - $186,300 annually (base salary); $118,900 - $202,600 per year (base pay)
Tools
ETL, ELT, Master Data Management (MDM), API Management, AI agents, Agentforce
AI focus
Use AI agents to automate routine customer-success work, apply prompt engineering to retrieve customer data and draft success plans, and use AI-driven sentiment and intent analysis to flag concerns for human follow-up.
Model-written summary · the original posting is authoritative