Product Manager, Sales Data Science
Listed on 2025-12-27
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IT/Tech
Data Analyst, Data Science Manager, AI Engineer, Business Systems/ Tech Analyst
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Job Category:
Product
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.
Applications will be accepted until 01/12/2026. This Product Manager role sits within the Sales Data Science team and owns the strategy and delivery of data, analytics, and AI-powered products that drive measurable improvements in seller productivity and revenue. This role is highly hands‑on and analytically rigorous—deeply engaged in data foundations, SQL-driven analysis, experimentation, and causal measurement to prove product impact, while leveraging AI tools to accelerate prototyping and insight generation in a fast-paced, collaborative environment.
Responsibilities- Define product vision, strategy, and multi-quarter roadmaps for Sales Analytics and AI-powered Sales Agent capabilities.
- Help shape data foundations, models, and experimentation that ensure accuracy, scale, and trust.
- Lead execution end-to-end: backlog ownership, stakeholder alignment, delivery, adoption, and success measurement.
- 5+ years in Product Management, Data, Analytics, or a related technical role.
- Strong hands‑on experience with SQL, data modeling, experimentation, and metric definition.
- Proven ability to translate complex data insights into clear product decisions and executive‑ready communication.
- Experience with Sales Analytics, Revenue Intelligence, or seller productivity products.
- Familiarity with AI-powered tools, agents, or generative AI workflows in a product context.
- Background working closely with Data Science on modeling, experimentation, or feature engineering.
- You will ensure Sales Data products deliver provable, measurable impact, not just shipped features.
- Your work will directly shape how data and AI are embedded into sellers’ daily workflows at scale.
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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Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. We believe in equality for all and strive to create an inclusive, discrimination‑free workplace. All employees and prospective employees are assessed on the basis of merit, competence and qualifications – without regard to protected characteristics. This policy applies to recruiting, hiring, compensation, promotion and all other employment decisions.
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers benefits including time off, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. The typical base salary range for this position is $160,000 - $215,000 annually, base only;
additional bonuses, equity, or benefits may apply.
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