CRM and Integrations Engineer (Salesforce)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
CRM and Integrations Engineer (Salesforce): Implementing CPQ systems and engineering GTM revenue infrastructure with an accent on quoting workflows, pricing logic, and complex API integrations. Focus on building production-grade Apex code, optimizing lead-to-cash data flows, and integrating Salesforce with a broader GTM stack including Snowflake and Marketo.
Company
is a modern, full-stack observability platform transforming how businesses process and understand their data at scale.
What you will do
- Implement and engineer the Nue.io CPQ system, including product catalogs, pricing rules, and approval processes.
- Develop production-grade Apex code, trigger frameworks, batch jobs, and Lightning Web Components (LWC).
- Build and maintain REST/SOAP integrations between Salesforce and tools like Gong, Marketo, Snowflake, and Jira.
- Design complex object models and data relationships while ensuring secure sharing models.
- Collaborate with Finance and Revenue Operations to translate business pricing logic into technical implementation.
- Build Salesforce and CPQ data pipelines into Snowflake for revenue analytics.
Requirements
- 5-8+ years of professional Salesforce development experience in Sales Cloud.
- Strong proficiency in production Apex, including bulkification and governor limit management.
- Experience with LWC and building front-end Salesforce interfaces.
- Hands-on experience with REST/SOAP integrations, OAuth, and middleware orchestration.
- Deep understanding of the end-to-end lead-to-cash process.
- Experience with SFDX, Git-based workflows, and CI/CD pipelines (e.g., Copado, GitHub Actions).
Nice to have
- Prior CPQ implementation experience (Nue.io, Salesforce CPQ, DealHub).
- Exposure to AI-assisted development tools and automation orchestration.
- Bachelor's degree in Computer Science or a related engineering field.
Culture & Benefits
- High-growth environment (100M+ ARR) with a focus on building rather than administering.
- Culture of innovation and continuous learning.
- Opportunity to grow into AI tooling and automation.
- Inclusive environment as an equal opportunity employer.
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