Product Manager
United States
Full Time
3 weeks ago
No Visa Sponsorship
Key skills
AIMachine LearningGenerative AIAgenticAnalyticsSaaSProduct ManagementCustomer SuccessSales
About this role
Role Overview
- 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.
Benefits
- proactivity and adaptability
- continuous improvement
- employee inclusion
- diversity and equity
- employee respect and acknowledgement