Senior Product Manager, Data Platform

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People.ai

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

People. ai is a company that revolutionizes revenue strategies using artificial intelligence (AI). They offer a comprehensive solution, SalesAI, which integrates generative AI to automate tasks, assess account health, and provide coaching recommendations. Their platform enhances customer relationship management (CRM) through automated data capture and analysis, making sales processes more efficient. People. ai serves industries such as high tech, life sciences, and telecommunications, aiming to optimize go-to-market (GTM) strategies and improve revenue outcomes for sales, revenue operations, enablement, and marketing teams.

📋 Description

• Own and drive the Matching and Activity Capture roadmap, including quality improvement loops, customer issue triage, and forward-looking enhancements improving data completeness and reliability • Lead CRM Integration roadmap execution across Salesforce, Dynamics, and emerging connectors • Grow into ownership of Unified Data Platform delivery milestones and the Admin Next initiative within 12–18 months • Represent platform capabilities in customer-facing architecture reviews, IT/data team conversations, and roadmap presentations • Develop repeatable enablement messaging for CS and SE teams on platform differentiators, data quality, and integration mechanics • Instrument roadmap areas with clear success metrics and establish feedback loops with customers, CS, and TS • Incorporate AI tools and workflows into discovery, PRD development, data analysis, and enablement • Spearhead the creation of next-generation forecasting tools that provide sales leaders with AI-driven insights • Own the end-to-end product vision, collaborate with cross-functional teams, and deliver innovations transforming revenue forecasting

🎯 Requirements

• 6–10 years of product management experience, including at least 2 years in a senior or staff-level role • Deep familiarity with enterprise data systems: Salesforce, Dynamics, data lakes and warehouses, event pipelines, API integration patterns, and data modeling • Demonstrated experience building platform-layer products such as matching systems, data pipelines, integrations, admin configuration, or data quality tooling • Strong data analysis skills and comfort working in technically complex, research-adjacent domains • Strong customer-facing skills representing technical products to enterprise IT teams, data engineering leads, and executive buyers • Experience in a high-growth or early-stage B2B SaaS environment where strategic and organizational change is common • Bachelor’s degree; technical background in CS or Engineering, or equivalent, strongly preferred • Based in Canada