Product Manager- Data Acceleration

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Manager – Data Acceleration based in the United States.
This role offers an opportunity to shape the future of high-performance data processing, analytics, and model execution across modern cloud and hybrid environments. You will define product strategy for technologies that accelerate data access, transformation, model scoring, and training. Working closely with engineering and cross-functional teams, you will translate customer needs and market insights into a clear product vision and actionable roadmap. You will also guide interoperability with modern data platforms, cloud storage services, and open-table formats to help customers build flexible, scalable data architectures. Combining technical expertise with strategic product leadership, you will drive innovation and measurable business outcomes. This position offers a flexible work arrangement, with hybrid options in Cary, North Carolina, or Glasgow, Scotland, and remote work opportunities within the Eastern Time Zone.
Accountabilities
As Product Manager – Data Acceleration, you will own product strategy, roadmap development, and lifecycle decisions for a portfolio of data acceleration technologies. You will work across engineering, design, user experience, and business teams to deliver scalable solutions that meet evolving customer needs and support long-term business objectives.
Define and evolve product strategy for high-performance data processing and model execution across hybrid and cloud-native environments.
Lead product direction for data acceleration technologies supporting high-speed model scoring, code acceleration, SAS Visual Analytics acceleration, and model training.
Shape interoperability strategies for modern data platforms, lakehouse technologies, cloud databases, and open-table formats such as Parquet and Iceberg.
Drive integration with cloud storage platforms, including AWS S3, Azure Data Lake Storage, and Google Cloud Storage.
Align product plans with corporate strategy, business objectives, customer needs, and market opportunities.
Develop and maintain product roadmaps, priorities, objectives, and key results (OKRs), communicating risks, decisions, and updates to relevant stakeholders.
Lead product discovery and requirements definition by gathering and analyzing input from customers, prospects, internal stakeholders, and market research.
Translate technical and business insights into clear product requirements and prioritize initiatives based on customer value and strategic impact.
Collaborate with engineering, design, UX, program management, and related teams to deliver product capabilities and achieve measurable outcomes.
Define product success metrics, evaluate post-launch performance, and use customer feedback, market trends, financial data, and product-health indicators to guide improvements.
Develop business cases and investment recommendations to support product decisions and resource allocation.
Contribute to pricing, positioning, marketing collateral, launch readiness, support readiness, and internal knowledge transfer.
Represent the product externally in discussions with customers, prospects, partners, and industry stakeholders.
Manage the product lifecycle, identify emerging technologies and competitive threats, and uncover new market opportunities.
Promote a collaborative, innovative, and accountable approach to product development.
Requirements
The ideal candidate combines product management or software engineering experience with a strong understanding of modern data ecosystems, cloud technologies, and analytics platforms. You should be able to engage in technical discussions, translate complex concepts for diverse audiences, and make informed product decisions in a collaborative, fast-paced environment.
At least five years of experience in product management and/or software engineering related to data management, decision management, AI, or analytics.
Bachelor’s degree or higher, preferably in data science, computer science, or a related quantitative discipline. An equivalent combination of relevant education, training, and experience may be considered.
Solid working knowledge of modern data management technologies and cloud database platforms, such as SingleStore, Snowflake, Google BigQuery, and Azure Synapse.
Familiarity with Spark-based environments, including Databricks.
Familiarity with open-source runtimes, packages, and libraries, such as Python.
Understanding of Software-as-a-Service (SaaS) and/or Platform-as-a-Service (PaaS) business models.
Familiarity with cloud platform technologies and services.
Ability to understand complex technical architectures and translate them into product requirements and business value.
Excellent written and verbal communication skills, including the ability to engage in technical discussions with customers, partners, and industry analysts.
Strong critical-thinking and problem-solving skills, with a demonstrated ability to make sound decisions in a fast-paced environment.
Proven ability to collaborate effectively across global teams, multiple business units, and cross-functional stakeholders.
Creative and innovative mindset, with the ability to define solutions that deliver compelling user experiences and exceed customer expectations.
Ability to balance technical considerations, customer priorities, market opportunities, and business objectives when making product decisions.
Legal authorization to work in the United States or Scotland without requiring current or future employment visa sponsorship.
Benefits
Comprehensive medical, prescription, dental, and vision coverage.
Multiple medical plan options, including a PPO plan with a low annual deductible and copays.
High-deductible health plan (HDHP) options paired with a health savings account, including an employer contribution.
Free on-site healthcare center access for employees and eligible family members enrolled in the PPO plan.
Pharmacy services, including prescription shipping at no additional charge.
Industry-leading 401(k) retirement plan.
Tuition assistance and resources to support professional development.
Generous vacation time and a variety of paid holidays.
Annual U.S. Winter Wellness Break from December 25 through January 1.
Volunteer time off.
Parental leave.
Unlimited paid sick days.
Childcare benefits for all full-time employees.
Flexible work arrangements, including hybrid and eligible remote options.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes