Senior Product Manager, Data Platform
New
J
JobgetherB2B SaaS
United StatesFull-TimeSenior
SalaryCompetitive 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.
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Job Details
- Experience
- 6–10 years
- Required Skills
- Microsoft DynamicsProduct ManagementSalesforceRESTful APIsData modelingCRM
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.
- 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.
- Strong communication, stakeholder management, prioritization, and product strategy skills.
- Bachelor’s degree or equivalent experience; background in computer science, engineering, or a technical discipline is strongly preferred.
- Demonstrated ability to use AI tools effectively to improve product discovery, analysis, documentation, and team workflows.
Responsibilities
- 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.
- Represent platform capabilities in customer-facing conversations, including architecture reviews, technical discussions with IT and data teams, and roadmap presentations.
- Serve as a trusted technical product partner, translating complex platform capabilities and data architecture concepts into clear business value.
- Create repeatable enablement materials and messaging for Customer Success and Sales Engineering teams.
- Establish clear success metrics across roadmap areas and build continuous feedback loops with stakeholders.
- Incorporate AI-powered tools and workflows into product discovery, PRD development, data analysis, and product operations.
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