Senior Product Manager
Quick Summary
Bachelor's degree or equivalent practical experience in a relevant field. Product management experience: At least 5 years of experience as a Product Manager within a SaaS organization.
As a Senior Product Manager, you will shape the future of data-driven product experiences within an innovative SaaS environment. You will own the data foundation, analytics and reporting capabilities, and the evolution of an AI-powered conversational experience. Your mission will be to help small businesses better understand their performance, uncover actionable insights, and make smarter decisions. Working closely with product leadership and a dedicated cross-functional engineering team, you will translate strategic objectives into impactful product roadmaps. You will connect dashboards, reports, and AI-powered tools into one seamless customer experience. This is an opportunity to take significant ownership, solve complex problems, and deliver measurable value in a collaborative, growth-oriented environment.
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Own the data foundation: Define how customer data is collected, structured, standardized, cleaned, and maintained to ensure accuracy, consistency, and reliability across analytics and AI-powered experiences.
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Lead AI product development: Own the roadmap, development, and rollout of an AI-powered conversational assistant, making it easier and faster for customers to access meaningful business insights.
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Drive analytics and reporting: Lead the evolution of dashboards, reporting tools, and conversational analytics, bringing these capabilities together into a unified and intuitive product experience.
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Define product strategy: Collaborate with product leadership to establish strategic priorities and independently translate business objectives into actionable roadmaps and delivery plans.
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Understand customer businesses: Analyze customer workflows and business operations to identify opportunities, map relevant data, and determine the insights that will create the greatest value.
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Lead cross-functional execution: Partner with engineers and other stakeholders to prioritize initiatives, coordinate development, and deliver high-impact product improvements.
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Drive measurable outcomes: Establish relevant success metrics, monitor product performance, and evaluate the impact of new features on customer satisfaction and business results.
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Uncover actionable insights: Use business analysis, data modeling, and analytical thinking to identify non-obvious opportunities that help customers operate more effectively.
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Continuously improve the experience: Gather customer insights and feedback to refine product capabilities, improve usability, and ensure solutions address real business needs.
Requirements
~1 min read-
Education: Bachelor's degree or equivalent practical experience in a relevant field.
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Product management experience: At least 5 years of experience as a Product Manager within a SaaS organization.
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Product delivery: Proven track record of successfully launching product features and capabilities that generate measurable value for customers and the business.
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Independent execution: Ability to take ownership, navigate ambiguity, and make meaningful progress in unfamiliar or evolving product areas.
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Business acumen: Strong ability to analyze business models, understand operational performance, and identify opportunities for improvement.
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Analytical capabilities: Excellent high-level and detailed analytical thinking, including the ability to connect business objectives with relevant performance metrics and translate complex data into actionable insights.
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Technical understanding: Ability to work with data-driven products and understand the technical foundations behind analytics, reporting, and AI-powered solutions.
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Customer-centric mindset: Strong curiosity, empathy, and commitment to understanding customer challenges and delivering practical solutions.
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Communication skills: Excellent written and verbal communication, with strong storytelling abilities and the confidence to present product strategies, insights, and recommendations to stakeholders.
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Additional assets: Experience working with analytics platforms, data modeling, AI-powered conversational experiences, or AI product platforms.
What We Offer
~2 min readLocation & Eligibility
About this job
- Who can apply
- Canada
- Posted
- Today
Listing Details
- First seen
- November 4, 2026
- Last seen
- November 4, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 62%
- Scored at
- November 4, 2026
Signal breakdown
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