Qualifications

• 12-15+ years in Technical Program or Project Management
• 4+ years working with Salesforce platforms
• Experience with Salesforce Clouds (Sales, Service, Experience; Data Cloud preferred)
• Proficient in integrations (APIs, MuleSoft or similar)
• Strong experience in data platforms and analytics ecosystems
• Ability to lead enterprise-scale transformation programs
• Background in semiconductor, hardware, or high-tech environments
• Experience in supporting GTM strategy or revenue operations
• Familiarity with AI/ML or data engineering initiatives
• Certifications: Salesforce, PMP, SAFe, or Scrum

Responsibilities

• Lead end-to-end Salesforce programs across various functions
• Own planning, execution, timelines, KPIs, and cross-functional alignment
• Manage dependencies between engineering, data, and business teams
• Collaborate with architects on scalable Salesforce solutions
• Oversee integrations with ERP, product systems, and data platforms
• Drive Customer 360 adoption and align data models
• Support Go-To-Market initiatives and product launches with multiple departments
• Enable lead-to-cash workflows, pipeline visibility, and accurate forecasting
• Translate business needs into executable technical plans
• Facilitate reporting, dashboards, and analytics with data teams
• Support AI-driven use cases such as segmentation and personalization
• Enhance data quality and system consistency
• Lead executive reporting and governance activities
• Track budgets, resources, and program health
• Identify risks and advocate for continuous improvement

Benefits

• Flexible work arrangements
• Opportunity for professional growth and development
• Collaborative and innovative work environment
• Access to cutting-edge technology and systems
• Engagement in high-impact strategic initiatives