Senior Product Manager, Data Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Data Platform based in United States.

As Senior Product Manager, Data Platform, you will drive the evolution of critical platform capabilities spanning data matching, activity capture, and CRM integrations. You’ll own high-impact roadmaps focused on improving data quality, completeness, reliability, and connectivity across enterprise systems. The role combines technical product leadership with hands-on customer engagement and cross-functional execution. You’ll work closely with engineering, customer-facing teams, and enterprise stakeholders to translate complex data challenges into scalable products. Over time, you’ll expand your scope to broader unified data platform initiatives and administrative capabilities. This is an opportunity to shape foundational technology within a fast-moving B2B SaaS environment while helping teams make better use of AI-powered workflows.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.