Product Manager – Data Acceleration
New
J
JobgetherData analytics
Based in the United States; remote work opportunities within the Eastern Time Zone, Eastern Time ZoneFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- At least five years of experience in product management and/or software engineering related to data management, decision management, AI, or analytics.
- Required Skills
- PythonProduct ManagementSnowflakeSparkDatabricksData management
Requirements
- Have at least five years of product management and/or software engineering experience related to data management, decision management, AI, or analytics.
- Hold a bachelor’s degree or higher, preferably in data science, computer science, or a related quantitative discipline; equivalent relevant education, training, and experience may be considered.
- Have working knowledge of modern data management technologies and cloud database platforms such as SingleStore, Snowflake, Google BigQuery, and Azure Synapse.
- Be familiar with Spark-based environments, including Databricks.
- Be familiar with open-source runtimes, packages, and libraries such as Python.
- Understand SaaS and/or PaaS business models.
- Be familiar with cloud platform technologies and services.
- Be able to understand complex technical architectures and translate them into product requirements and business value.
- Have written and verbal communication skills for engaging in technical discussions with customers, partners, and industry analysts.
- Have critical-thinking and problem-solving skills and be able to make sound decisions in a fast-paced environment.
Responsibilities
- Define product strategy for high-performance data processing and model execution across hybrid and cloud-native environments.
- Lead product direction for data acceleration technologies supporting model scoring, code acceleration, SAS Visual Analytics acceleration, and model training.
- Shape interoperability strategies for data platforms, lakehouse technologies, cloud databases, and open-table formats such as Parquet and Iceberg.
- Drive integrations with AWS S3, Azure Data Lake Storage, and Google Cloud Storage.
- Develop and maintain product roadmaps, priorities, objectives, and key results, communicating risks and decisions to stakeholders.
- Gather and analyze customer, prospect, internal stakeholder, and market research input to define product requirements.
- Collaborate with engineering, design, UX, program management, and related teams to deliver product capabilities.
- Define success metrics, evaluate post-launch performance, and use feedback and product-health indicators to guide improvements.
- Develop business cases and investment recommendations, and contribute to pricing, positioning, launch readiness, and support readiness.
- Represent the product in discussions with customers, prospects, partners, and industry stakeholders.
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