Manager, Product Management

Position

Manager, Product Management

Dallas, TX (telecommuting options available)

• 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 while maintaining high standards for quality, scalability, and readiness.
• Lead structured requirements gathering through meetings, workshops, and documentation reviews.
• Translate business needs into actionable, technically feasible product concepts, authoring functional specifications, user stories, and acceptance criteria.
• Develop prototypes, use cases, and design data visualizations to support usability testing and performance communication.
• Apply analytics, modeling, and optimization to inform decisions and improve product outcomes.
• 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 success.
• Promote continuous innovation by monitoring market trends, user behavior, and product performance.
• Champion data‑driven decision‑making 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.

• Master’s degree, or foreign equivalent, in Industrial Engineering, Operations Research, or Engineering Management.
• Experience, coursework, or project experience in utilizing machine learning, optimization algorithms, statistics, and large‑scale system modeling.
• Proficiency with Python (Num Py, scikit‑learn, LightGBM), SQL for data manipulation and performance tuning, and experience with Spark, Databricks, and scalable data processing frameworks.
• Familiarity with large language models (LLMs) and deep learning frameworks such as PyTorch or Tensor Flow.
• Ability to design and manage machine learning pipelines, including feature engineering, model tuning, and validation.
• Strong analytical, statistical, and data visualization skills using Power BI or Tableau.
• 20% domestic travel required.

o9 is an equal‑opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process.