Engineer - Gainsight
Commvault
About the role
Recruitment Fraud Alert
We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.
What to know:
Commvault does not conduct interviews by email or text.
We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day.
If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com
About Commvault
Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.
The Opportunity
We are seeking a Gainsight Engineer to lead the technical development and optimization of our Customer Success Platform. This role requires deep hands-on experience in Gainsight configuration, data integration, and workflow automation across the customer lifecycle. The ideal candidate brings both platform expertise and a data-first mindset to drive proactive retention, onboarding, adoption, and renewal strategies.
You’ll partner with Customer Success, Revenue Ops, and Salesforce teams to deliver insights, campaigns, and alerts that power our CS motion. Experience with SQL, system integrations, and AI-based engagement scoring is highly valued.
What you do..
1. Gainsight Configuration & Development
· Own configuration of Gainsight features: Rules Engine, Journey Orchestrator, CTAs, Scorecards, Programs, and Playbooks.
· Design and implement customer lifecycle programs to automate onboarding, health scoring, renewal risk, and expansion signals.
· Collaborate with stakeholders to turn customer insights into operational cadences, campaigns, and escalations.
· Build business-centric reports and dashboards using Reporting 2.0 and CX Center.
2. Data Integration & Orchestration
· Build and maintain end-to-end integrations between Gainsight and platforms such as Salesforce, and product telemetry systems.
· Translate customer data into actionable playbooks using Data Designer, Rules Engine, and Bionic Rules.
· Understand and document customer journey workflows and their associated data flows.
3. AI & Automation Enablement
· Implement and maintain sentiment analysis, churn prediction, and AI-based prioritization within Gainsight or external AI services.
· Work with teams to embed AI-generated insights into CTAs, dashboards, and health models.
· Explore and prototype with tools like Gainsight Horizon A