Senior Product Manager
New
R
RithumECommerce SaaS
United States - RemoteFull-TimeSenior
Salary$130,000-$195,000 per year
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Job Details
- Experience
- 3+ years
- Required Skills
- Data AnalysisProduct ManagementProduct AnalyticsStakeholder managementSaaS
Requirements
- 3+ years of proven product management experience within the SaaS industry.
- Experience with complex enterprise-level products, preferably in eCommerce or marketplace platforms.
- Experience as a Product Manager working on AI-powered products, AI workflows, or data & insights platforms.
- Strong experience with the full product development lifecycle, including setting goals and measuring outcomes.
- Experience driving strategy and execution for complex, integrated software ecosystems.
- Proven experience supporting team-based projects and contributing to technical teams.
- Proficiency in using AI tools to synthesize qualitative research into structured themes.
- Experience prototyping product concepts or workflows using AI tools.
- Proven use of AI to accelerate documentation workflows (PRDs, release notes, etc.).
- Comfort using AI-assisted tools for data exploration and analysis (e.g., natural language querying).
- Analytically minded with experience using product analytics tools.
- Strong communication skills with the ability to explain technical concepts to non-technical audiences.
Responsibilities
- Drive long-term product vision for the commerce platform using AI-first approaches.
- Synthesize qualitative client inputs and support data using AI to inform product strategy.
- Collaborate with cross-functional teams to improve business processes and align internal objectives.
- Own roadmap prioritization, scope, and sequencing decisions for a key product area.
- Prototype and validate product concepts using AI tools to de-risk ideas before engineering investment.
- Lead end-to-end product execution, from PRD creation to launch, QA, and adoption tracking.
- Use AI to accelerate documentation workflows while maintaining editorial quality.
- Influence stakeholders at all levels to gain alignment on product strategies and initiatives.
- Leverage AI-assisted data exploration for evidence-based product decision-making.
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