Unified Feedback Hub Product Manager in Canada Creek, Nova Scotia at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Unified Feedback Hub Product Manager in Canada.

This role sits at the core of building a unified, AI-driven ecosystem for user insights, feedback, and product decision-making. You will define and drive the product vision for platforms that transform fragmented user intelligence into actionable, organization-wide knowledge. By connecting research, behavioral analytics, and customer feedback, you will help create a seamless decision-support system that improves speed, clarity, and product outcomes. The position blends strategic product leadership with hands-on platform thinking in a highly cross-functional environment. You will work closely with engineering, data, research, and design teams to deliver scalable tools that power smarter product decisions. Your work will directly influence how teams prioritize, build, and optimize products based on real user needs. This is a high-impact role shaping the future of AI-enabled product intelligence at scale.

• Define and own the product vision, strategy, and roadmap for a unified feedback and user success platform, including AI-enabled insights and decision-support tools.
• Build and evolve scalable systems that integrate user research, behavioral analytics, and customer feedback into actionable insights.
• Translate organizational and product strategy into platform capabilities that improve decision-making speed, quality, and alignment.
• Identify and prioritize opportunities to accelerate the development of an AI-powered product insights ecosystem.
• Lead the design of data products that surface user behavior, sentiment, and product performance across the organization.
• Partner with engineering, data science, research, and design teams to deliver integrated, high-impact platform solutions.
• Drive adoption of insights tools and systems through enablement, change management, and stakeholder engagement.
• Establish clear success metrics and continuously optimize product performance and business impact.
• Ensure systems are scalable, interoperable, and aligned with long-term platform and organizational needs.
• Influence senior stakeholders by linking product decisions to measurable user and business outcomes.

• 5+ years of product management experience, ideally focused on platforms, data products, or internal tools.
• Proven track record of delivering complex, cross-functional product initiatives with measurable impact.
• Strong experience working with research, analytics, data science, or engineering teams.
• Deep understanding of product development lifecycle, including discovery, prioritization, roadmap planning, and execution.
• Ability to translate qualitative and quantitative insights into clear product strategy and decisions.
• Experience building or scaling internal systems, platforms, or workflow tools used across organizations.
• Familiarity with AI/ML-driven products, or strong interest in applying AI to product innovation and decision systems.
• Excellent stakeholder management and communication skills, with ability to influence senior leadership.
• Strong analytical thinking with comfort working across structured and unstructured data inputs.
• Ability to balance strategic vision with execution discipline in a fast-paced environment.

• Competitive compensation package with base salary aligned to experience and location (Canada-based ranges vary).
• Annual bonuses, stock grants, and long-term incentive opportunities.
• Comprehensive health coverage, including medical, dental, vision, and mental health support.
• Flexible work arrangements supporting hybrid and remote collaboration.
• Paid time off, holidays, and well-being-focused leave policies.
• Strong learning and development culture with opportunities for upskilling and career growth.
• Inclusive work environment focused on belonging, diversity, and collaboration.
• Exposure to cutting-edge AI and data-driven product innovation at enterprise scale.