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Salary
$27k – $65k per year (Estimated)
Location
Remote/Hybrid (Hyderabad, India)
Seniority
Principal · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Model N's mission is to help our customers drive revenue growth and market share profitably, enabling them to deliver life-changing products to the world. Across both life sciences and high tech, we enable more investment in innovation, leading to...

We are seeking a Principal System Administratorto 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 capabilitiesin 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 ecosystemand data pipelines preferred

    • Experience with Gainsightintegrations 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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