Manager, Salesforce Data Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Manager, Salesforce Data Engineering (AI): Leading a team of engineers to build and support scalable data solutions across Salesforce and enterprise systems with an accent on dual-org synchronization and complex data migrations. Focus on applying cutting-edge AI technologies and agentic workflows to automate data processes, improve platform health, and drive technical strategy.
Location: Must be based in the United States
Compensation: $139,600 – $357,500 USD (Total Target Compensation based on geographic zone)
Company
is a global leader in data resilience and security, specializing in helping organizations secure and manage data and AI at scale.
What you will do
- Lead and mentor a team of Salesforce engineers, overseeing hiring, performance, and career development.
- Own the Dual Org Sync workstream to ensure reliable data flow between Salesforce environments.
- Drive end-to-end Salesforce-to-Salesforce data migration efforts with a focus on data integrity.
- Design and support scalable, secure, and maintainable Salesforce data solutions.
- Champion the adoption of AI-powered tools and agentic approaches to automate workflows and improve data quality.
- Partner with cross-functional stakeholders to align technical plans with business needs and manage project risks.
Requirements
- Must be based in the United States
- 8+ years of experience in software or data engineering, including 4+ years on the Salesforce platform.
- 2+ years of people management experience leading engineering teams.
- Hands-on expertise in Salesforce development (Apex, Lightning Components, Flow) and data modeling (SQL, SOQL).
- Proven experience with enterprise integrations, migrations, and data lifecycle management.
- Demonstrated proficiency in applying AI technologies or LLM-powered automation to engineering workflows.
Nice to have
- Salesforce Administrator, Platform App Builder, or Platform Developer certifications.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Portfolio or case studies demonstrating the application of AI/agentic tooling in professional projects.
Culture & Benefits
- Unlimited paid time off and 12 paid holidays, including global self-care days.
- Comprehensive medical, dental, and vision coverage starting on day one.
- 401(k) retirement plan with company matching.
- Paid parental leave and fertility/adoption support.
- Mental health support and 24/7 virtual veterinary care.
- Access to professional development resources like LinkedIn Learning and O’Reilly.
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