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Principal System Administrator ( Salesforce Service Cloud)

Modeln

Hyderabad India Hybrid permanent

Posted: May 8, 2026

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Quick Summary

We are seeking a Principal System Administrator who will own and evolve the systems for Salesforce Service Cloud Support. The ideal candidate will have expertise in designing systems that support nuanced workflows, while maintaining clarity, usability, and data integrity.

Job Description

We are seeking a Principal System Administrator to own and evolve the systems that power a complex, engineer-led support organization.

This role is the primary owner of Salesforce Service Cloud for Support, responsible for ensuring the system accurately reflects how complex technical issues are diagnosed and resolved—not forcing workflows that oversimplify the work.

Unlike traditional admin roles focused on ticketing efficiency, this role emphasizes designing systems that support nuanced, non-linear workflows, while maintaining clarity, usability, and data integrity.

This role will partner closely with Support Operations, IT (Salesforce Sales admins), Product, and Engineering, and will play a key role in implementing AI-enabled capabilities in a thoughtful, controlled way.

This role reports to the Customer Operations leader.


Job Responsibilities:
Salesforce Service Cloud Ownership


Serve as the primary administrator for the Support instance of Salesforce Service Cloud


Own configuration including:


Case lifecycle and status models


Fields, layouts, and page design


Routing and assignment logic


Automation (Flows, validation rules, etc.)


Product Additions (Organic or through M&A)


Ensure the system reflects real support workflows, not idealized or overly rigid processes

System Design & Optimization


Continuously refine system structure to improve:


Usability for support engineers


Data quality and reporting reliability


Alignment to product architecture and issue types


Balance simplicity and flexibility—avoiding unnecessary complexity while supporting nuanced workflows

Integrations & Data Architecture


Own integrations between Salesforce and:


Microsoft Fabric (data pipelines)


Gainsight (support signals into customer health)


Other tools (e.g., Slack, Jira, AI platforms)


Partner with IT and data teams to ensure data integrity, reliability, and scalability

AI & Automation Enablement


Lead implementation and configuration of AI-enabled tools (e.g., Forethought, Agentforce), including:


Case intake and triage


Knowledge generation


Workflow augmentation


Ensure AI enhances—not degrades—the quality of complex support interactions


Establish guardrails and monitoring for AI-driven workflows

Collaboration & Governance


Partner with:


Support Ops Manager (workflow and process design)


Support Ops Analysts (data structure and reporting needs)


IT Salesforce team (alignment with broader SFDC governance)

Establish best practices for change management, release cycles, and system governance


Job Qualification:

6–9 years of experience as a Salesforce Administrator, with deep focus on Service Cloud


Proven experience owning a complex support or service environment, not just sales workflows


Strong hands-on experience with:


Flows, automation, and case management design


Data modeling and system architecture


Experience integrating Salesforce with external systems (data platforms, CS tools, etc.)


Familiarity with the Microsoft Fabric ecosystem and data pipelines preferred


Experience with Gainsight integrations is a plus


Exposure to AI-enabled support platforms (Forethought, Agentforce) strongly preferred


Strong judgment in balancing flexibility vs structure in system design

What Success Looks Like


A Salesforce environment that accurately reflects real support workflows


Ownership of the configuration, expansion, and ongoing optimization of AI-enabled support tools (e.g., Forethought, Agentforce), including adapting vendor-provided implementations to fit real-world support workflows.


High system adoption and usability among support engineers


Reliable, structured data that powers trusted reporting and insights


Seamless integration of support data into Customer Success (Gainsight) and analytics platforms


Thoughtful implementation of AI that improves efficiency without oversimplifying complex work


A system that is maintainable, scalable, and adaptable over time

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