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Salary Confidential

Position range in Dallas County $63k - $131k Per Year Manager, Product Management

O9 SOLUTIONS INC

Occupation:

Data Scientists

Location:

Dallas, TX - 75234

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift

Posted:

08/21/2026

Positions available: 1

Source:

WorkInTexas

Web Site:

WorkInTexas

Onsite /

Remote:

Not Specified

Updated:

08/24/2026

Expires:

09/23/2026

Agency Job ID:

Jr102547

Job #: 17058576

Job Requirements and Properties

Help for Job Requirements and Properties. Work Onsite

Full Time Education

Master's Degree Schedule

Full Time Job Type

Regular Duration

Permanent Employment Hours

40 Hours Per Week Shift

Day Shift Public Transit

Available Help for . Manager, Product Management needed by o9 Solutions, Inc. in Dallas, TX [and various unanticipated locations throughout the U.S.; may telecommute] to 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. Lead 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. Develop prototypes, use cases, and design data visualizations to support usability testing and performance communication. Apply analytics, modeling, and optimization to inform decisions. 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 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. 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, Databricks, 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). 20% domestic travel required.

MINIMUM REQUIREMENTS

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

Apply at https://o9solutions.com/careers/ by selecting Explore all jobs, entering the requisition number, Jr102547, selecting Search, opening the requisition, and clicking Apply, or email resume to LaToshia Morris, Senior Manager, HR, at latoshia.morris@o9solutions.

com and reference requisition number:

Jr102547.