Product Manager- Data Acceleration

SAS; Cary (NC); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Comprehensive medical, prescription, &

401k plan

Tuition Assistance

Generous paid time off

Job summary

SAS is seeking a Product Manager for Data Acceleration in a hybrid role based in Cary, NC. You will drive product strategy across the SAS platform for high-performance data processing, model execution, and cloud-native interoperability.

Own roadmaps, requirements, and go-to-market planning while coordinating with engineering and design to deliver scalable capabilities. You will lead initiatives around SAS SpeedyStore and SAS Data Accelerator, enabling rapid scoring, code acceleration, and

Qualifications

• 5+ years of product management and/or software engineering in data management, decision management, or AI/analytics.
• Bachelor’s degree or higher in data science, computer science, or a related quantitative discipline.
• Experience with modern data platforms and Spark-based environments (Databricks).
• Familiarity with open-source runtimes and libraries (like Python).
• Understanding SaaS/PaaS business models and cloud platform technologies.

Responsibilities

• Shape strategic direction for interoperability with data platforms, lakehouse tech, cloud storage, and open-file formats.
• Define and maintain roadmaps, priorities, and OKRs; communicate risks and updates to stakeholders.
• Lead requirements definition and discovery, translating findings into strategy.
• Drive alignment across Engineering, Design, PM, and related teams for outcomes.
• Define success measures, post-launch analysis, and business cases for investment.
• Shape pricing, positioning, collateral, launch readiness, and external messaging.
• Own lifecycle decisions and identify emerging technologies and market opportunities.

Skills

Data management

Decision management

AI/analytics

SaaS/PaaS concepts

Communication

Education

Bachelor’s degree or higher in data science or computer science

Tools

Databricks

SingleStore

Snowflake

Google BigQuery

Azure Synapse

Python

Cloud platforms (AWS/Azure/GCP)

Job description

Product Manager- Data Acceleration- Hybrid, Cary, North CarolinaWe’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. 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 JobAs a Product Manager for Data Acceleration, in collaboration with the wider product strategy team, you will be responsible for driving product strategy across the SAS platform for high-performance data processing and model execution. In this high-impact role, you will define and evolve the product direction for a portfolio of technologies that accelerate data access, transformation, and analytics execution across hybrid and cloud-native environments.

This includes ownership of SAS SpeedyStore and SAS Data Accelerator, which enable high-speed model scoring, code acceleration, SAS Visual Analytics (VA) acceleration, and model training. You will also lead the strategy for integrating with open file formats such as Parquet and Iceberg, and enabling remote access to cloud storage platforms like AWS S3, Azure Data Lake Storage, and Google Cloud Storage.

You will work closely with software engineering teams to develop a platform product vision for this domain and craft detailed requirements to support the development of a robust and scalable product roadmap.

As a Product ManagerYou Will

• Shape the strategic direction for interoperability with modern data platforms, lakehouse technologies, cloud storage services, and open-table formats to ensure SAS remains an integral component of customer data architectures, while aligning product plans with corporate strategy and business objectives.
• Define and maintain product roadmaps, priorities, and OKRs; communicate product risks, decisions, and roadmap updates to stakeholders.
• Lead product requirements definition and prioritization based on customer, stakeholder, prospect, and market input, and conduct discovery to translate findings into product strategy.
• Drive alignment across Engineering, Design, UX, Program Management, and related teams to deliver customer and business outcomes.
• Define success measures, own post-launch analysis, and develop business cases and product investment recommendations based on customer, market, financial, and product-health data.
• Help shape pricing, positioning, collateral, launch readiness, support readiness, and knowledge transfer, while representing the product externally with customers and prospects.
• Own product lifecycle management decisions and identify emerging technologies, business threats, and new market opportunities.
• Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required Qualifications

• 5+ years of experience in product management and/or software engineering related to data management, decision management, or AI/analytics.
• Bachelor’s degree or higher, preferably in data science, computer science, or a related quantitative discipline.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
• Solid working knowledge of modern data management, cloud databases (SingleStore, Snowflake, Google BigQuery, Azure Synapse), and Spark-based environments like Databricks.
• Familiarity with one or more open-source runtimes, packages, and libraries (like Python).
• Understand concepts of Software-as-a-Service (SaaS) and/or Platform-as-a-Service (PaaS) business models.
• Familiarity with Cloud Platform provider technologies.
• Ability to translate complex technical and business information for diverse audiences.

Additional Competencies, Knowledge And Skills

• Exceptional written and verbal communication skills with the ability to engage in technical discussions with customers, partners, and industry analysts.
• Excellent critical-thinking skills with a demonstrated history of making sound decisions in a fast-paced environment.
• Proven ability to work in a highly collaborative, global environment across multiple business units.
• Ability to innovate and define creative solutions with compelling user experiences that exceed customer expectations.

World-class Benefits

Highlights include...

• Comprehensive medical, prescription, dental and vision plans.
• Medical plan options include:
• PPO with low annual deductible and copays.
• HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
• Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There\'s a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
• An industry-leading 401k plan.
• Tuition Assistance Program and programs and resources to support your development
• Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
• Volunteer Time Off, parental leave and unlimited paid sick days.
• Generous childcare benefits for all full-time employees.

You are welcome here.

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.

Additional Information

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.

SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

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