o9 Solutions

Manager, Product Management

Posted 4 Days Ago

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Dallas, TX, USA

In-Office

Senior level

Digital Media • Software • Analytics

The Role

Lead product strategy and delivery for enterprise planning solutions. Translate business needs into technical requirements, drive Agile delivery, validate models and workflows, build prototypes and visualizations, coordinate testing and documentation, and support adoption. Apply ML, optimization, LLMs, and large-scale data processing to deliver measurable business value while collaborating with engineering, data science, and stakeholders.

Summary Generated by Built In

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

POSITION: Manager, Product Management LOCATION: 1501 Lyndon B Johnson Fwy, Ste 140, Dallas, TX 75234 [and various unanticipated locations throughout the U.S.; may telecommute/work from home]

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 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 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, 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 Master’s 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.

More about us…

At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.

o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

Skills Required

Master's degree in Industrial Engineering, Operations Research, or Engineering Management (or foreign equivalent)
Experience with machine learning, optimization algorithms, statistics, and large-scale system modeling
Proficiency in Python and relevant libraries (NumPy, scikit-learn, LightGBM)
Experience with SQL for data manipulation and performance tuning
Experience using Spark, Databricks, and scalable data processing frameworks
Experience 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
Analytical, statistical, and data visualization skills (Power BI or Tableau)
Ability and willingness to travel domestically up to 20%

o9 Solutions Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about o9 Solutions and has not been reviewed or approved by o9 Solutions.

Fair & Transparent Compensation — Pay is often characterized as fair or market-aligned, with multiple statements expressing satisfaction with salary levels. Compensation appears competitive in certain roles and departments, contributing to a generally acceptable pay experience for many.
Leave & Time Off Breadth — Time-off offerings are described as generous, including PTO and, in some places, unlimited PTO framing. Flexibility around time off is positioned as a meaningful component of the overall rewards package.
Parental & Family Support — Family-oriented benefits are described as a notable strength, including parental leave and childcare-related supports such as FSAs, vouchers, and breastfeeding benefits in some locations. External recognition tied to working-parent support reinforces the perception of family benefits as a differentiator.