Product Manager, Sales Data Science

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Product Manager, Sales Data Science

Office hybrid in Indianapolis, IN, Denver, CO or Atlanta, GA

Overview of the Role

The Product Manager role is part of the Data Solutions Sales Data Science team, responsible for delivering data, analytics, and AI-powered products that measurably improve seller productivity, decision-making, and revenue outcomes.

In this role, you will serve as the connective tissue between Sales, Data Science, Data Engineering, and Analytics, owning the vision, strategy, and execution of data-driven products such as Sales Agents, Account POV, Next Best Action, Success Measurement, and the Sales Data Graph. You will be accountable not only for shipping high-quality products, but for proving causality and impact. You will need to demonstrate how our tools, insights, and agents drive measurable improvements in seller efficiency, effectiveness, and outcomes.

This is a highly analytical and technically grounded product management role that requires deep, hands-on engagement with data foundations and data systems. You are expected to understand how data is sourced, modeled, transformed, and served across the stack, and to actively engage in querying, validating, and reasoning about data. You will regularly write and review SQL, analyze treated vs. control groups, partner with data scientists on modeling and experimentation, and define success metrics that stand up to rigorous scrutiny.

You will also leverage AI-powered tools to rapidly prototype solutions, accelerate analysis, improve product health reporting, and scale your own productivity as a PM.

You will join a fast-paced, highly collaborative environment where data-driven decision-making, innovation, and continuous learning are core to how we operate.

Responsibilities

Success in this role will be measured by your ability to deliver impactful data products, establish clear causal measurement, and drive cross-functional alignment from strategy through execution.

Product Strategy & Vision

• Define and own the product vision, strategy, and multi-quarter roadmap for Sales Data Analytics and AI-powered Sales Agent capabilities.

• Translate seller, sales leadership, and business needs into scalable data and analytics solutions that improve seller productivity and outcomes.

• Identify opportunities where data, analytics, and AI can simplify workflows, surface insights, and enable better decisions at scale.

Data Foundations, Engineering & Architecture

• Partner closely with Data Engineering to define and evolve data foundations, including source systems, ingestion pipelines, transformations, and serving layers.

• Demonstrate working knowledge of data architecture patterns (e.g., lakes, warehouses, semantic layers, data graphs) and how product decisions impact scalability, performance, and data quality.

• Understand and influence data modeling approaches (fact/dimension models, feature tables, entity graphs) to ensure analytical correctness and product usability.

• Define data contracts, schemas, and quality expectations to support reliable downstream analytics, models, and AI agents.

• Actively query and validate data using SQL to debug issues, validate assumptions, and ensure trust in product outputs.

Data Analysis, Measurement & Causality - Required

• Perform deep quantitative analysis using SQL, Python, and analytics tools to understand product usage, outcomes, and performance.

• Design and analyze experiments and quasi-experiments (e.g., treated vs. control groups, rolling windows) to establish causal impact of products and features.

• Partner closely with Data Science to build, debug, and iterate on analytical and predictive models.

• Define, track, and report success, health, and operational metrics across all supported products.

• Deliver clear, credible insights that explain why outcomes changed-not just what changed.

Product Development & Execution

• Own a detailed backlog including epics, user stories, acceptance criteria, and prioritization aligned to business goals.

• Gather and synthesize requirements from diverse stakeholders across Sales, Analytics, Data Science, Engineering, and Leadership.

• Act as the voice of the customer during backlog grooming, sprint planning, and execution.

• Lead functional testing, end-to-end validation, and UAT to ensure high-quality, reliable data products.

AI-Enabled Prototyping & Productivity

• Leverage AI-powered prototyping and development tools (e.g., Cursor, Gemini, Lovable, Uizard, AI Studio, and similar) to rapidly ideate, build, and validate working prototypes.

• Use AI to accelerate data analysis, scenario testing, model debugging, and dashboard MVP development.

• Build lightweight, scalable solutions such as HTML-based product health slides published via Git repositories to reduce manual reporting overhead.

• Partner with teams to design and deliver AI-powered support agents that answer routine questions and free teams to focus on higher-value work.

Knowledge Management & Communication

• Implement AI-powered knowledge assistants and documentation systems to centralize product knowledge, meeting notes, research, and decisions.

• Use AI tools to summarize meetings, synthesize documents, and surface historical context for faster decision-making.

• Produce clear, executive-ready updates, success narratives, and data-driven storytelling tailored to different audiences.

Cross-Functional Leadership

• Collaborate closely with Engineering, Data Science, Analytics, Design, Sales, and Operations teams to drive alignment and execution.

• Serve as a trusted partner to stakeholders, providing clarity on tradeoffs, timelines, and expected outcomes.

• Champion data-informed decision-making and continuous improvement across the organization.

Required Qualifications

• 5+ years of experience in Product Management, Data Analytics, Data Science, Data Engineering, or a closely related field.

• Strong understanding of data engineering concepts, data foundations, and end-to-end data pipelines, including ingestion, transformation, storage, and serving.

• Hands-on experience writing SQL scripts to retrieve, validate, and analyze data across large, complex datasets.

• Working knowledge of data modeling techniques and data architecture patterns used in analytical and AI-driven systems.

• Strong analytical skills with demonstrated experience using SQL, Python, and analytics tools to drive product decisions.

• Experience designing and analyzing experiments, treated vs. control group analysis, and causal inference methods.

• Proven ability to define product success metrics and translate data insights into actionable product decisions.

• Experience working cross-functionally to define product strategy, vision, and roadmap.

• Demonstrated ability to create detailed product requirements, epics, user stories, and acceptance criteria.

• Familiarity with Agile/Scrum methodologies and tools such as JIRA, AHA, or similar.

• Experience leveraging AI-powered tools for prototyping, analysis, documentation, and workflow acceleration.

• Strong communication skills with the ability to clearly explain complex data and technical concepts to non-technical audiences.

• Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Statistics, Physics, or a related quantitative field.

Preferred Qualifications

• Experience building or supporting Sales Analytics, Sales Productivity, or Revenue Intelligence products.

• Familiarity with data retrieval patterns, semantic layers, and analytics-serving technologies.

• Experience collaborating on feature engineering and machine learning model development.

• Experience with experimentation platforms, causal inference techniques, or advanced statistical methods.

• Experience building dashboards, internal tools, or lightweight front-end prototypes.

• Familiarity with AI-powered agents, knowledge assistants, or generative AI workflows in a product context.

Why This Role Matters

This role is critical to ensuring that our Sales Data products don't just ship-but deliver provable, measurable impact. You will shape how we design data foundations, how we retrieve and model data, how we measure seller productivity, and how AI and analytics are embedded into the daily workflows of sellers at scale.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

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