13 часов назад
Senior Product Manager, Data Platform (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Product Manager, Data Platform (AI): Driving the evolution of data matching, activity capture, CRM integrations, and unified data platform capabilities with an accent on data quality, reliability, enterprise connectivity, and customer-facing technical leadership. Focus on building scalable platform products, translating complex data architecture into business value, and incorporating AI-powered tools into product discovery, analysis, and workflows.
Location: United States; remote
Company
is presenting this opportunity on behalf of a partner operating a fast-growing B2B SaaS organization focused on AI-powered workflows and enterprise data products.
What you will do
- Own the roadmap for data matching and activity capture, improving data quality, completeness, reliability, and customer issue resolution.
- Lead CRM integration initiatives across Salesforce, Microsoft Dynamics, and emerging CRM connectors.
- Expand ownership toward unified data platform delivery milestones and administrative platform capabilities.
- Represent platform capabilities in architecture reviews, technical discussions, and roadmap presentations for enterprise stakeholders.
- Create enablement materials for Customer Success and Sales Engineering teams covering integrations, data quality, and technical differentiators.
- Define success metrics, build customer feedback loops, and incorporate AI-powered tools into discovery, documentation, analysis, and product operations.
Requirements
- 6–10 years of product management experience, including at least 2 years at a senior or staff level.
- Deep familiarity with enterprise data ecosystems, including CRM platforms, data lakes and warehouses, event pipelines, APIs, integration patterns, and data modeling.
- Experience building or managing platform products such as matching systems, data pipelines, integrations, administrative configuration tools, or data quality solutions.
- Strong analytical, communication, stakeholder management, prioritization, and product strategy skills.
- Experience representing technical products to enterprise IT organizations, data engineering leaders, and executive buyers.
- Must be based in the United States. A bachelor’s degree or equivalent experience is required; a technical background is strongly preferred.
Nice to have
- Experience in a high-growth or early-stage B2B SaaS environment.
- Background in computer science, engineering, or another technical discipline.
Culture & Benefits
- Remote work environment designed to support distributed collaboration.
- Competitive compensation based on experience, skills, training, certifications, and location.
- Eligibility for commission or bonus programs and equity opportunities for eligible regular employees.
- Employee benefits package for eligible regular employees.
- Opportunity to work on AI and enterprise data products with technically sophisticated stakeholders.
Hiring process
- Applications are reviewed through ’s AI-powered matching process and shortlisted candidates are shared with the hiring company.
- Interviews and assessments are managed by the partner company’s internal team.
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