Applications will be accepted until 01/12/2026.
Description
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.
Required Qualifications
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.
Preferred Qualifications
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.
Why This Role Matters
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.