Salesforce
Technology
SeniorEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Engineer at Salesforce. Skills: Data Analytics, BI Engineering, AI, Data Governance. Champion development of golden data assets. Build self-serve data capabilities”
What You'll Achieve.
Improve decision-making; Automate workflows; Accelerate growth; Demonstrate impact; Demonstrate ROI; Continuously raise the bar
Industry & Context.
Problem-solving; Translate complex AI research; Build predictive tools; Root cause analysis
What They're Looking For.
Must Have
Bachelor's or Master's degree, 5-8 years experience, Data Analytics and BI Engineer experience, Advanced SQL knowledge, Statistical Literacy, Agentic AI skills development, Salesforce ecosystem familiarity, SQL proficiency, Python proficiency, Tableau proficiency, Version control (Git) skill, CI/CD pipelines skill, Translate complex AI research, Build predictive tools, Build visualizations, Understand probability distributions, Understand hypothesis testing, Understand p-values, Problem-solving skills, Think strategically about emerging technologies
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Champion development of golden data assets
Build self-serve data capabilities
Partner with leadership to identify opportunities
Ensure data products are scalable
Ensure data products are reliable
Align with enterprise data standards
Own target setting process
Use data to demonstrate impact
Use data to demonstrate ROI
Establish product development practices
Evolve product development practices
Influence external product roadmap
Define data needs for product success
Ensure ethical use of AI/ML models
Define North Star Metrics
How You'll Work.
Team & Collaboration
Data Pipeline teams; Platform Engineering teams; Data Architecture teams; Data Governance teams; Analytics & Data Science teams; Cross-functional coordination
Communication Scope
Executive presentations; Storytelling; Clear documentation; Enablement programs
Process & Methodology
Roadmap planning, Backlog management, Agile delivery
Full Job Description
_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts._ Job Category Software Engineering Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. **Senior Engineer** The Cloud Success Insights team powers decisions and applications across Salesforce supporting teams in, Customer Support, Digital Success, Training, Certifications, Success Guides and Architects teams, we are making a significant strides in becoming a truly Data-Driven Enterprise — one built on trusted, governed golden data assets, world-class self-serve capabilities, and AI-ready data infrastructure Our Team owns the vision, strategy, and execution of our internal data and insights product portfolio, with focus on Customer Success. This team partners deeply with Data Pipeline, Platform Engineering, Data Architecture, and Data Governance teams to deliver the data products that our customer success teams rely on every day to drive product adoption, customer satisfaction and reduce attrition. Our products span data pipelines, canonical datasets, dashboards, APIs, ML models, and self-serve frameworks that power analytics, AI, and product decision-making at scale The data product leaders in the team bring both strategic vision and operational depth — someone to engage credibly with C-suite stakeholders, inspire a high-performing te
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