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Sr Product Manager

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: SAS
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

Senior Product Manager (Optimization and Network Analytics)- Hybrid, Cary, North Carolina or Remote in the US

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.

If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.

About The Job

If you are passionate about the math that potentially saves lives, directs resources during natural disasters and identifies suspicious transactions indicative of fraud, then please join our team!

As a Senior Product Manager
- Optimization and Network Analytics, you will be responsible for driving SAS’ market-leading algorithmic product strategy across the SAS platform. In this high-profile role, you will be set product direction with respect to algorithms across the following disciplines:
Mathematical optimization, operations research, graph optimization, network analytics, and entity resolution. These disciplines play a critical role in supporting business decisions using embeddable analytic components across major SAS industry solutions.

In addition, you will work across SAS application teams to bring these capabilities to life within products such as Data & AI Studio, Model Studio, and Visual Investigator. You will help ensure that powerful analytic technologies are delivered through intuitive user experiences and industry solutions that create measurable business value.

As a Senior Product Manager
- Optimization and Network Analytics, you will:
  • Define and prioritize product requirements based on business drivers, customer inputs, market direction, and field contribution.
  • Translate business requirements into technical, functional, and non-functional requirements.
  • Define user personas and write use cases.
  • Drive product development and collaborate with software development teams based on requirements management, risk management, risk mitigation, and product life cycles.
  • Partner and align with Product Commercialization Specialists to define market potential.
  • Support product launches as primary content provider to facilitate knowledge transfer of product functionality to marketing and sales.
  • Present product vision, roadmap, and software demonstrations to internal constituents, senior managers stakeholders, customers, and analysts.
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
Required Qualifications
  • Master’s degree or higher, operations research, industrial engineering, optimization, math, computer science, or a related quantitative discipline.
  • 6+ years’ experience in direct product management or software development related to analytics.
  • Strong understanding of optimization and network analytics applications, including routing, scheduling, resource allocation, supply chain planning, and operational decision-making.
  • Knowledge of optimization methodologies and solver technologies, including linear programming, mixed-integer programming, nonlinear optimization, meta heuristics, and optimization under uncertainty.
  • Knowledge of network analytics and graph-based optimization techniques, including centrality, community detection, entity resolution, max flow, pattern matching, and vehicle routing.
  • Working knowledge of analytics platforms, data pipelines, and large-scale operational data used to power optimization and decision-support workflows.
  • Ability to define product requirements for APIs, embeddable analytics, and platform-based integration into enterprise applications and industry solutions.
  • Understanding of simulation, scenario analysis, model lifecycle, and decisioning systems to help customers evaluate tradeoffs and improve business outcomes.
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
Additional Competencies, Knowledge And Skills
  • Exceptional written and verbal communication skills, with the…
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