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GTM Engineer – CRM & Integrations

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Coralogix

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Location:
India , Gurugram

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

This is the CRM and integrations engineering role on our GTM Engineering team. A central early priority for this role is the implementation of our CPQ system, Nue.io — you will be the primary builder of the quoting workflows, pricing logic, approval automation, and downstream integrations that make our revenue lifecycle run. You will own this work under the architectural direction of the Salesforce Architect. Beyond CPQ, you own the broader Salesforce-adjacent engineering work: object model design, Apex development, and the API integrations that connect Salesforce to the GTM stack. You operate independently on well-scoped work and are expected to ship, not wait for hand-holding. This is not a Salesforce administrator role. You write code. Production-grade Apex, REST integrations, and the ability to reason about complex data flows across multiple systems are the baseline. You will also grow your skills in AI tooling and automation as the team's capabilities expand.

Job Responsibility:

  • Implement Nue.io CPQ as the primary builder — configuring and engineering product catalog, pricing rules, discount frameworks, quoting workflows, and approval processes
  • Build Nue.io integrations with Salesforce CRM, DocuSign CLM, billing systems, and finance/ERP stack
  • Develop quoting automation, contract generation, and order management workflows
  • Partner with Finance and Revenue Operations to encode pricing logic and deal structure rules into the CPQ system
  • Own post-go-live CPQ maintenance and iteration as the revenue model evolves
  • Implement scalable Salesforce automation and custom logic aligned with architectural standards set by the Salesforce Architect
  • Write production-grade Apex code including trigger frameworks, batch jobs, queueable processes, and platform events
  • Build and maintain Lightning Web Components (LWC) for internal GTM tool interfaces
  • Design and maintain complex object models, data relationships, permission structures, and sharing models
  • Support sandbox management, structured deployments, and CI/CD processes
  • Build REST/SOAP integrations connecting Salesforce to Gong, Marketo, Snowflake, Slack, Jira, DocuSign, and other GTM platforms
  • Design and implement middleware orchestration patterns for reliable, observable data exchange across systems
  • Develop and maintain Named Credentials, OAuth flows, and API authentication patterns
  • Identify and resolve data sync failures, integration errors, and pipeline discrepancies
  • Contribute to the Snowflake data foundation by building Salesforce and CPQ data pipelines in partnership with the Data Engineer
  • Ensure revenue lifecycle data — ARR, expansion, churn, contraction — flows accurately from Nue.io into downstream analytics and reporting
  • Participate in code reviews and maintain documentation standards for all implemented solutions

Requirements:

  • 5–8+ years of hands-on Salesforce development experience in Sales Cloud and complex multi-cloud environments
  • CPQ implementation experience strongly preferred — Nue.io, Salesforce CPQ, DealHub, or similar
  • willingness to develop deep Nue.io expertise rapidly is a must
  • Strong production Apex experience: trigger frameworks, separation-of-concerns patterns, bulkification, governor limit management
  • Experience building LWC components and front-end Salesforce interfaces
  • Hands-on REST/SOAP integration experience including Named Credentials, OAuth, and middleware orchestration
  • Strong understanding of Salesforce data model, sharing model, and security architecture
  • Experience with SFDX, Git-based workflows, and CI/CD deployment pipelines (Copado, Gearset, or GitHub Actions)
  • Experience working with Salesforce APIs (Bulk API, Streaming API, Metadata API) for cross-system integrations
  • Exposure to AI-assisted development tools and automation orchestration platforms a plus
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Nice to have:

Exposure to AI-assisted development tools and automation orchestration platforms a plus

Additional Information:

Job Posted:
March 20, 2026

Employment Type:
Fulltime
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