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Product Manager

Posted 4 days agoViewed

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📍 Location: United States

💸 Salary: 120000.0 - 155000.0 USD per year

🔍 Industry: SaaS

🏢 Company: FormAssembly Inc.

🗣️ Languages: English

🪄 Skills: AWSAgileArtificial IntelligenceCloud ComputingData AnalysisMachine LearningProduct ManagementData scienceData visualizationData analyticsSaaS

Requirements:
  • Proven experience working as a Product Manager in a SaaS platform company with roadmap accountability and ideally with notable levels of growth and innovation
  • Strong expertise in data analytics and insights
  • Hands-on experience with AI technologies, machine learning frameworks, or integrating AI-driven features into products
  • Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and their AI/analytics offerings
  • Ability to analyze large datasets, derive actionable insights, and apply them to product outcomes
  • Strong presentation and written/verbal communication skills
  • Familiarity with agile methodologies and product development processes.
  • A passion for solving problems at the intersection of technology, data, and user experience
  • Have previously launched a SaaS product or features with measurable success and growth KPI’s
Responsibilities:
  • Define and execute the product vision, roadmap, and strategy for AI-powered and data-centric analytics solutions, aligning with business goals.
  • Collaborate with cross-functional teams (engineering, data science, sales and marketing) to build and launch high-impact products.
  • Utilize VOC, market information and data insights to identify customer needs, track product performance, and inform decision-making.
  • Own the end-to-end product lifecycle, from ideation and requirements gathering to development, launch, and iteration.
  • Leverage advances in AI technologies and machine learning models to create a roadmap to improve product functionality and user experience.
  • Know how and capability to translate complex data and AI concepts into clear, actionable requirements and user stories for development teams.
  • Monitor key performance indicators (KPIs), conduct A/B testing, and use quantitative and qualitative data to optimize product outcomes.
  • Stay ahead of industry trends in AI, analytics, and product management to ensure cutting-edge solutioning.
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