Senior Product Manager, Data Platform

Team: Product

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Own and execute the roadmap for matching and activity capture, including data quality improvements, customer issue triage, reliability initiatives, and future enhancements.
• Lead CRM integration roadmap execution, supporting connectivity across platforms such as Salesforce, Microsoft Dynamics, and emerging CRM connectors.
• Develop toward broader ownership of unified data platform delivery milestones and administrative platform initiatives over the first 12–18 months.
• Represent platform capabilities in customer-facing conversations, including architecture reviews, technical discussions with IT and data teams, and roadmap presentations for enterprise stakeholders.
• Serve as a trusted technical product partner, translating complex platform capabilities and data architecture concepts into clear business value for customers and internal teams.
• Create repeatable enablement materials and messaging for Customer Success and Sales Engineering teams covering platform differentiators, data quality, integrations, and technical capabilities.
• Establish clear success metrics across roadmap areas and build continuous feedback loops with customers, Customer Success, Technical Services, and engineering teams.
• Incorporate AI-powered tools and workflows into product discovery, PRD development, data analysis, customer enablement, and broader product operations.
• Balance strategic product planning with hands-on execution in a technically complex and rapidly evolving environment.

Requirements:

• 6–10 years of product management experience, including at least 2 years operating at a senior or staff-level capacity.
• Deep familiarity with enterprise data ecosystems, including CRM platforms such as Salesforce and Dynamics, data lakes and warehouses, event pipelines, APIs, integration patterns, and data modeling.
• Demonstrated experience building or managing platform-layer products such as matching systems, data pipelines, integrations, administrative configuration tools, or data quality solutions.
• Strong analytical capabilities and comfort investigating complex technical and data-related problems, including work in research-adjacent or technically sophisticated environments.
• Proven ability to represent technical products with enterprise IT organizations, data engineering leaders, and executive-level buyers.
• Experience working in a high-growth or early-stage B2B SaaS environment where priorities, processes, and organizational structures can evolve quickly.
• Strong communication, stakeholder management, prioritization, and product strategy skills, with the ability to move effectively between technical details and executive-level discussions.
• Bachelor’s degree or equivalent experience; a background in computer science, engineering, or another technical discipline is strongly preferred.
• Demonstrated ability to use AI tools effectively to improve product discovery, analysis, documentation, and team workflows.

Benefits:

• Competitive compensation package tailored to factors such as experience, skills, training, certifications, and location.
• Eligibility for commission or bonus programs, with applicable targets included in overall on-target earnings.
• Equity opportunities for eligible regular employees.
• Employee benefits package available to eligible regular employees.
• Remote work environment with flexibility designed to support distributed collaboration.
• Opportunity to work on high-impact AI and enterprise data products within a fast-growing B2B SaaS organization.
• Exposure to enterprise customers and technically sophisticated stakeholders, with meaningful ownership over foundational platform capabilities.