Senior Product Manager, Data Platform

Backstory

$110K — $130K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-10 years of product management experience, including 2+ years in a senior role
  • Expertise in enterprise data systems like CRMs (Salesforce, Dynamics)
  • Experience with building platform-layer products including matching systems and data quality tooling
  • Strong data analysis capabilities in complex technical domains
  • Excellent customer-facing skills with a background in representing technical products
  • Experience in a fast-paced B2B SaaS environment
  • Bachelor's degree, preferably in a technical field, and based in Canada

Responsibilities

  • Own and drive the roadmap for Matching and Activity Capture
  • Lead execution of CRM Integration roadmap aligned with CRM diversification
  • Take ownership of Unified Data Platform and Admin Next initiative within 12-18 months
  • Represent platform capabilities in customer-facing settings as a trusted technical partner
  • Create enablement messaging for CS and SE teams on data quality and integration
  • Establish success metrics for roadmap areas and gather customer feedback
  • Integrate AI tools into team workflows for various phases of product development

Benefits

  • Eligibility for commissions or bonus programs
  • Equity options
  • Comprehensive benefits package
  • Dynamic work environment emphasizing high growth
  • Focus on personal and professional development opportunities
Full Job Description
The Role

As the Senior PM for Platform, you will accelerate execution across Matching, Activity Capture, and CRM Integration in the near term, and grow into ownership of the full Platform domain over time. This is a high-impact role for a technically fluent PM who is equally comfortable diving into data quality problems and presenting roadmaps to enterprise CIOs.

Responsibilities:

  • Own and drive the Matching and Activity Capture roadmap - including quality improvement loops, customer issue triage, and forward-looking enhancements that improve data completeness and reliability
  • Lead CRM Integration roadmap execution, supporting Backstory's CRM diversification strategy across Salesforce, Dynamics, and emerging connectors
  • Grow into ownership of the Unified Data Platform delivery milestones and Admin Next initiative within 12-18 months
  • Represent platform capabilities in customer-facing settings - architecture reviews, IT/data team conversations, and roadmap presentations - acting as a trusted technical thought partner
  • Develop repeatable enablement messaging for CS and SE teams on platform differentiators, data quality, and integration mechanics
  • Instrument your roadmap areas with clear success metrics and establish feedback loops with customers, CS, and TS
  • Bring AI tools and workflows into how you and the team work - in discovery, PRD development, data analysis, and enablement


Requirements

  • 6-10 years of product management experience, with at least 2 years in a senior or staff-level role
  • Deep familiarity with enterprise data systems: CRMs (Salesforce, Dynamics), data lakes and warehouses, event pipelines, API integration patterns, and data modeling
  • Demonstrated experience building platform-layer products - matching systems, data pipelines, integrations, admin configuration, or data quality tooling
  • Strong data analysis skills; comfortable working in technically complex, research-adjacent domains
  • Strong customer-facing skills - you have represented technical products to enterprise IT teams, data engineering leads, and executive buyers
  • Experience in a high-growth or early-stage B2B SaaS environment where strategic and organizational change is common
  • Bachelor's degree; technical background (CS, Engineering, or equivalent) strongly preferred
  • Based in Canada


Regular employees may be eligible for commissions or bonus programs (target included in OTE), equity, and benefits. The range is subject to change. Backstory takes into wide range of factors when determining an individual's pay. These factors can include, skill set, training and experience, licensure and certifications, and location and metropolitan area.

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.

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