Senior Product Manager, Data Platform

About Backstory Backstory (formerly People.ai) is the leading AI answers platform for sales teams. With more than a decade of training AI models on billions of sales interactions, Backstory enables modern sales teams to ask questions and get the right answer in the moment directly within their existing AI workflows. Sales leaders from companies like Red Hat, Five9, Palo Alto Networks, Iron Mountain, TransUnion, Randstad and others rely on Backstory to get trusted answers wrapped in real business context helping them orchestrate deals more effectively and drive revenue. By connecting every signal to the right accounts and opportunities, Backstory shows teams exactly what is happening and what to do next. Customers across industries including enterprise, cybersecurity, data and analytics, and defense use Backstory to drive trillions in pipeline and revenue. Recognized by Gartner and Forrester, the Inc. 5000, Y Combinator Top Companies, and the Forbes AI 50, Backstory is based in San Francisco and backed by ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures and Mubadala Capital. The Role As the Senior PM for Platform, you will accelerate execution across Matching, Activity Capture, and CRM Integration in the near term, and grow into ownership of the full Platform domain over time. This is a high-impact role for a technically fluent PM who is equally comfortable diving into data quality problems and presenting roadmaps to enterprise CIOs. Responsibilities: Own and drive the Matching and Activity Capture roadmap — including quality improvement loops, customer issue triage, and forward-looking enhancements that improve data completeness and reliability Lead CRM Integration roadmap execution, supporting Backstory’s CRM diversification strategy across Salesforce, Dynamics, and emerging connectors Grow into ownership of the Unified Data Platform delivery milestones and Admin Next initiative within 12–18 months Represent platform capabilities in customer-facing settings — architecture reviews, IT/data team conversations, and roadmap presentations — acting as a trusted technical thought partner Develop repeatable enablement messaging for CS and SE teams on platform differentiators, data quality, and integration mechanics Instrument your roadmap areas with clear success metrics and establish feedback loops with customers, CS, and TS Bring AI tools and workflows into how you and the team work — in discovery, PRD development, data analysis, and enablement Requirements 6–10 years of product management experience, with at least 2 years in a senior or staff-level role Deep familiarity with enterprise data systems: CRMs (Salesforce, Dynamics), data lakes and warehouses, event pipelines, API integration patterns, and data modeling Demonstrated experience building platform-layer products — matching systems, data pipelines, integrations, admin configuration, or data quality tooling Strong data analysis skills; comfortable working in technically complex, research-adjacent domains Strong customer-facing skills — you have represented 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 (CS, Engineering, or equivalent) strongly preferred Based in Canada Headquartered in San Francisco, CA, Backstory is backed by Y Combinator and Silicon Valley’s top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. Backstory is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America’s Best Startup Employers. For more information, please visit www.Backstory.ai . -- Regular employees may be eligible for commissions or bonus programs (target included in OTE), equity, and benefits. The range is subject to change. Backstory takes into wide range of factors when determining an individual’s pay. These factors can include, skill set, training and experience, licensure and certifications, and location and metropolitan area.