Product Manager

SMG is a company that transforms how global brands act across brand, customer, and employee experiences. The Product Manager will lead a core product area, translating the product vision into a prioritized roadmap and collaborating with cross-functional teams to ensure alignment and effective delivery.

Responsibilities:

• Own the domain roadmap with a clear point of view on what to solve and why, connecting client impact and SMG's goals into a prioritized, outcomes-driven plan
• Prioritize with transparency: decide what gets built and when and communicate the reasoning and trade-offs clearly to stakeholders
• Break complex problems into MVPs and now, next, later sequencing that delivers early value and continued progression over time
• Champion data as a product and understands how to make complex data actionable for clients
• Technical thought partner who understands how data moves from source through ingestion, transformation, governance, and consumption
• Define the success metrics that matter and use them to guide iteration and demonstrate value
• Leverage AI and machine learning solutions, including generative AI, predictive modeling, and agentic workflows, to creatively solve real client problems
• Lead discovery through client interviews, usability tests, and behavioral analytics to surface validated problems worth solving
• Stay sharp on the competitive landscape and industry trends to pressure-test roadmap assumptions and spot emerging opportunities
• Partner with Customer Success and Sales to keep the voice of the customer as a continuous input into what the team builds
• Balance delivery across bugs, incremental enhancements, and net-new capabilities while staying aligned with peer Product Managers on sequencing and cross-domain dependencies
• Collaborate with Marketing, Customer Success, and Sales to ensure release readiness and drive adoption of new capabilities

Requirements:

• Bachelor's degree or equivalent work experience required
• 3+ years' product management experience in a SaaS or technology environment
• Experience owning data-rich or insight-driven products, such as analytics platforms, reporting tools, or AI powered applications, is strongly preferred