Product Manager for Data Lens and Agentic Transforms

Job Description

Product Manager for Data Lens and Agentic Transforms | Salesforce

The Tone:
This is an early career position at Salesforce. The company’s Data Cloud is a core foundational layer powering value across its entire ecosystem. This role is at the forefront of Salesforce’s Data360 strategy, launching new agentic pilots that will redefine how enterprises interact with their data. You will own the shift from manual data engineering to a system where any user can profile, transform, and harmonize data using natural language and autonomous agents.

The TL;DR
• Role: Early Career
• Type: Full-time
• Team: DC Morpho scrum team, partnered with UX Design
• Mission: Own the transition from manual data engineering to natural language and autonomous agent-driven data profiling, transformation, and harmonization for any user.
• Tech Stack: Java services, LWC frameworks

What You’ll Actually Do
• Product Strategy & Build: Drive the roadmap for Agentic Transforms and Data Lens to enable users to create complex data pipelines through natural language and visual profiling, focusing on reducing time-to-value.
• Executive Storytelling: Author high-visibility blogs and record high-fidelity demos for executive leadership, representing these products at major events like Dreamforce to showcase Data360’s value.
• Product Integration: Drive the adoption of Data Lens as the foundational data profiling standard across the Data 360 portfolio and the broader Salesforce ecosystem, embedding visual insights into diverse product surfaces.
• Customer Engagement: Partner directly with customers during pilot and General Availability phases to deeply understand their workflows, pain points, and ease-of-use requirements, identifying and eliminating friction.
• Agile Team Leadership: Lead the DC Morpho scrum team in partnership with UX Design to deliver a high-performance, synchronized experience between AI agents and visual interfaces, acting as the bridge between technical architecture and user experience.

The Must-Haves
• Background: Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
• Experience: Entry-level candidate transitioning directly from an academic setting into their first full-time product role, with previous hands-on experience in product management through an internship, co-op, capstone project, or 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; foundational understanding of Java services and LWC frameworks.