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Employer
Product Manager for Data Lens and Agentic Transforms
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Job Description
Product Manager for Data Lens and Agentic Transforms | Salesforce
The Tone:
This is an early career role at Salesforce, located in San Francisco or Los Angeles, CA. The company’s Data Cloud acts as the fundamental layer powering value across its entire ecosystem. This position is critical at a transformative moment, as Salesforce launches agentic pilots designed to redefine how enterprises interact with their data, moving from manual processes to intuitive, AI-driven workflows.
The TL;DR
• Role: Early Career
• Location: In-person, San Francisco or Los Angeles, CA
• Team: DC Morpho scrum team
• Mission: Own the transition from traditional data engineering to a world where any user can profile, transform, and harmonize data using natural language and autonomous agents.
• Tech Stack: Java services, LWC frameworks
What You’ll Actually Do
• Product Strategy: Drive the roadmap for Agentic Transforms and Data Lens, focusing on enabling users to create complex data pipelines through Natural Language (NL) and visual profiling.
• Executive Evangelism: Represent these products by authoring high-visibility blogs, recording high-fidelity demos for executive leadership, and showcasing innovations at major events like Dreamforce.
• Product Integration: Lead the adoption of Data Lens as the foundational data profiling standard across the Data 360 portfolio and the broader Salesforce ecosystem.
• Customer Engagement: Partner directly with customers during Pilot and GA phases to deeply understand their workflows, pain points, and “Ease of Use” requirements.
• Agile Leadership: Lead the DC Morpho scrum team in partnership with UX Design, delivering a high-performance, synchronized experience between AI agents and visual interfaces.
The Must-Haves
• Background: Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field; entry-level candidate transitioning directly from an academic setting.
• Experience: Previous hands-on experience in product management through an internship, co-op, capstone project, or an equivalent program.
• Skills: An AI-Native Mindset, including a foundational understanding of or deep curiosity for Generative AI, prompt engineering, RAG, or data science fundamentals.
