Job Responsibilities:

✦   Lead end-to-end Salesforce programs (Sales, Service, Experience, Data Cloud).

✦   Own planning, execution, timelines, KPIs, and cross-functional alignment.

✦   Manage dependencies across engineering, data, and business teams.

✦   Partner with architects on scalable Salesforce solutions.

✦   Oversee integrations with ERP, product systems, and data platforms.

✦   Drive Customer 360 adoption and data model alignment.

✦   Support GTM initiatives and product launches with Sales, Marketing, and RevOps.

✦   Enable lead-to-cash workflows, pipeline visibility, and forecasting.

✦   Translate business needs into executable technical plans.

✦   Enable reporting, dashboards, and analytics with data teams.

✦   Support AI-driven use cases (segmentation, personalization).

✦   Improve data quality and consistency across systems.

✦   Lead executive reporting, governance, and decision forums.

✦   Track budgets, resources, and program health.

✦   Identify risks and drive continuous improvement.

Job Requirements:

✦   12-15+ years in Technical Program or Project Management.

✦   4+ years working with Salesforce platforms.

✦   Strong experience with Salesforce Clouds (Sales, Service, Experience; Data Cloud a plus).

✦   Experience with integrations (APIs, MuleSoft or similar).

✦   Experience with data platforms and analytics ecosystems.

✦   Experience leading enterprise-scale transformation programs.

✦   Strong communication and stakeholder management skills.

✦   Background in semiconductor, hardware, or high-tech environments.

✦   Experience supporting GTM strategy or revenue operations.

✦   Exposure to AI/ML or data engineering initiatives.

✦   Certifications: Salesforce, PMP, SAFe, or Scrum.

Job Application:

✦   Job Application Type: Link

​      Job Application Link: https://www.linkedin.com/jobs/search/?currentJobId=4400994988&f_TPR=r86400&geoId=103644278&keywords=salesforce&sortBy=R&start=575