Salesforce · 3 hours ago
Product Manager, Sales Data Science
Indianapolis, IN
Full-time
Hybrid
Senior Level
5+ years expSalesforce is the #1 AI CRM, where humans with agents drive customer success together. The Product Manager role is part of the Data Solutions Sales Data Science team, responsible for delivering data, analytics, and AI-powered products that improve seller productivity and revenue outcomes.
Agentic AIArtificial Intelligence (AI)Cloud ComputingCRMSaaSSales EnablementSoftware
Responsibilities
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
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
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
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
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
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
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
Qualification
Required
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
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
Benefits
Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Company
Salesforce
Salesforce is a cloud-based software company that provides customer relationship management software and applications.
10001+ employees
H1B Sponsorship
Salesforce has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1883)
2024 (2296)
2023 (1850)
2022 (2849)
2021 (2124)
2020 (1960)
Funding
Current Stage
Public CompanyTotal Funding
$65.38MKey Investors
Starboard ValueEmergence CapitalHalsey Minor
2022-10-18Post Ipo Equity
2004-06-23IPO
2003-01-01Series Unknown· $1M
Leadership Team
Arundhati Bhattacharya
Chairman & Ceo Salesforce India
Kendall Collins
CEO, GovCloud - Salesforce
Recent News
2026-02-04
2026-02-04
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