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1 час назад

Senior Product Manager, Data Platform

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Senior Product Manager, Data Platform (AI/SaaS): Driving Matching, Activity Capture, and CRM Integration roadmaps for an enterprise data platform with an accent on data quality, reliability, and platform-layer product development. Focus on building unified data capabilities, scaling integrations across Salesforce and Dynamics, and presenting technical roadmaps to enterprise IT and executive stakeholders.

Location: Remote, Canada

Company

AI answers platform for sales teams, built on large-scale sales interaction data and integrated into existing AI workflows.

What you will do

  • Own the Matching and Activity Capture roadmap, including data quality improvement loops, customer issue triage, and reliability enhancements.
  • Lead CRM Integration roadmap execution across Salesforce, Dynamics, and emerging connectors.
  • Grow into ownership of Unified Data Platform delivery milestones and the Admin Next initiative within 12–18 months.
  • Represent platform capabilities in architecture reviews, IT and data team discussions, and enterprise roadmap presentations.
  • Create enablement messaging for Customer Success and Sales Engineering teams covering platform differentiators, data quality, and integration mechanics.
  • Define success metrics, establish customer feedback loops, and introduce AI tools into discovery, PRD development, data analysis, and enablement.

Requirements

  • 6–10 years of product management experience, including at least 2 years in a senior or staff-level role.
  • Deep familiarity with enterprise data systems, including CRMs, data lakes and warehouses, event pipelines, API integration patterns, and data modeling.
  • Experience building platform-layer products such as matching systems, data pipelines, integrations, admin configuration, or data quality tooling.
  • Strong data analysis skills and comfort working in technically complex, research-adjacent domains.
  • Experience presenting technical products to enterprise IT teams, data engineering leads, and executive buyers.
  • Experience in a high-growth or early-stage B2B SaaS environment; a bachelor’s degree is required, with a technical background strongly preferred.

Culture & Benefits

  • Full-time remote work.
  • Work within a high-growth B2B SaaS environment where strategic and organizational change is common.
  • Collaborate with Customer Success, Sales Engineering, Technical Support, customers, and enterprise technology stakeholders.

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