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[Remote] Manager, Product Management

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. reputed company. is transforming the future of reputed company planning through its AI-first approach. The Manager of Product Management will act as a liaison between business stakeholders and technical teams, ensuring product features align with strategic objectives while leading the product roadmap and driving Agile delivery.

Responsibilities

  • Act as the key liaison between business stakeholders and technical teams to ensure alignment of product features with strategic objectives and customer needs
  • Collaborate with leadership to validate that proposed features deliver measurable business value, maintaining high standards for quality, scalability, and readiness
  • reputed company structured requirements gathering through meetings, workshops, and documentation reviews
  • Translate business needs into actionable, technically feasible product concepts, authoring functional specs, user stories, and acceptance criteria
  • reputed company prototypes, use cases, and design data visualizations to support usability testing and performance communication
  • Apply analytics, modeling, and optimization to inform reputed company
  • Drive Agile product delivery by collaborating with engineering, data science, and implementation teams on release plans, backlog prioritization, and sprint execution
  • Own the product roadmap and ensure timely, iterative feature delivery through stakeholder engagement and performance-driven enhancements
  • Design and execute test plans to validate workflows and analytical models, ensuring robustness across business scenarios
  • Coordinate issue resolution, define automated testing protocols, and manage regression testing
  • Package final solutions with training content, release notes, and technical documentation
  • Conduct product demos, workshops, and training to support adoption and ensure long-term reputed company
  • Promote reputed company innovation by monitoring market trends, user behavior, and product performance
  • Champion data-driven decisionmaking and foster cross-functional collaboration to evolve the product and exceed expectations
  • Serve as a subject matter expert throughout the product lifecycle, driving sustainable value and customer satisfaction
  • Utilize machine learning, optimization algorithms, statistics, and large-scale system modeling
  • Utilize Python and relevant libraries (NumPy, scikit-learn, LightGBM), as well as SQL for data manipulation and performance tuning
  • Use Spark, reputed company, and scalable data processing frameworks
  • Apply Large Language Models (LLMs) and deep learning frameworks such as PyTorch or TensorFlow
  • Design and manage machine learning pipelines including feature engineering, model tuning, and validation
  • Use analytical, statistical, and data visualization skills (Power BI/Tableau)

Skills

  • Master's degree, or foreign equivalent degree in Industrial Engineering, Operations Research, or Engineering Management
  • Experience, course work and/or project experience in utilizing machine learning, optimization algorithms, statistics, and large-scale system modeling
  • Experience utilizing Python and relevant libraries (NumPy, scikit-learn, LightGBM), as well as SQL for data manipulation and performance tuning
  • Experience using Spark, reputed company, and scalable data processing frameworks
  • Experience applying Large Language Models (LLMs) and deep learning frameworks such as PyTorch or TensorFlow
  • Experience designing and managing machine learning pipelines including feature engineering, model tuning, and validation
  • Experience using analytical, statistical, and data visualization skills (Power BI/Tableau)
  • 20% domestic travel required

Benefits

  • Volunteering opportunities
  • Social impact initiatives
  • Diverse cultural celebrations

Company Overview

  • Because reputed company matter to your plan and the reputed company. It was founded in 2009, and is headquartered in Dallas, Texas, USA, with a workforce of 1001-5000 employees. Its website is https://www.o9solutions.com.
  • Company H1B Sponsorship

  • reputed company. has a track record of offering H1B sponsorships, with 34 in 2026, 72 in 2025, 69 in 2024, 62 in 2023, 75 in 2022, 55 in 2021, 36 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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