Product Manager
About The Position
As a Product Manager at QuickLaunch Analytics, you’ll have the opportunity to fully own and drive the lifecycle of key product capabilities—from initial concept and ideation to launch and ongoing optimization. This role empowers you to shape the evolution of our product offering, ensuring it addresses customer needs in analytics, integration, and performance management. You’ll also gain valuable exposure to innovative technologies, including AI Agents, LLMs, and MCP frameworks, which are increasingly shaping enterprise workflows and offer excellent growth opportunities for your career.
Requirements
- 4–7+ years in Product Management for enterprise SaaS or analytics platforms.
- Strong experience in Product Lifecycle Management—from concept through retirement.
- Familiarity with Power BI, Microsoft Fabric, Databricks, and data integration tools (e.g., Fivetran).
- Exposure to ERP and performance systems such as OneStream, JDE, or Vista.
- Understanding of AI concepts (Agents, LLMs, MCP) and ability to frame opportunities responsibly.
- Excellent communication, stakeholder alignment, and evidence-based prioritization skills.
Responsibilities
- Manage the full product lifecycle. Drive planning, requirements, development, release, and sunset decisions for assigned features.
- Roadmap & prioritization. Translate customer insights and business goals into a clear roadmap; maintain backlog and ensure alignment with strategic objectives.
- Discovery & validation. Conduct user research, run experiments, and validate hypotheses before committing resources.
- Execution & delivery. Write product requirements documents, collaborate with Engineering and Design, and ensure timely, high-quality releases.
- Post-launch optimization. Monitor adoption, gather feedback, and iterate to improve usability and performance.
- Cross-functional leadership. Partner with Sales, Customer Success, and Marketing to enable go-to-market success.
- AI awareness. Stay current with emerging AI technologies—including AI Agents, LLMs, and MCP patterns—and proactively identify how these advancements can enhance workflows.
- Security & compliance. Ensure features align with CIS/NIST controls and customer trust requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
