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Principal Product Manager, Data Ingestion

Genesys

$150,200 - $278,800
Sep 18, 2025
Remote, US
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Genesys is seeking to improve customer loyalty and business outcomes by creating the best experiences for their customers and employees through their Journey Management platform, which requires a Senior Product Manager to lead the data ingestion and querying foundation.

Requirements

  • Strong understanding of data pipelines, querying systems, and modern data formats.
  • Experience translating technical architecture into customer value.
  • Proven track record of owning critical platform components at scale.
  • Strong analytical and problem-solving skills; able to ask the right questions of both customers and data.
  • Experience working with large-scale SaaS platforms or customer journey analytics solutions.
  • Familiarity with distributed data processing and storage technologies (e.g., Spark, Kafka, Parquet/Iceberg).
  • Background in customer analytics, data visualization, or applied AI/ML.

Responsibilities

  • Define and own the strategy for data ingestion and querying within Journey Management, ensuring massive data streams are captured, structured, and transformed into usable insights.
  • Shape the foundation of analyst experiences by translating backend capabilities into intuitive, fast, and trustworthy data exploration tools.
  • Establish and enforce data quality standards, ensuring accuracy, reliability, and timeliness across large-scale datasets.
  • Partner closely with engineering to guide technical trade-offs in scalability, performance, schema evolution, and system reliability.
  • Collaborate with product managers across multiple data domains to integrate new and existing data sources seamlessly.
  • Work with core data infrastructure teams to align on ingestion pipelines and platform capabilities — balancing Genesys Cloud–originating data with external customer-provided data sources.
  • Champion the analyst and business user perspective, ensuring backend capabilities directly enable better insights and decision-making.

Other

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related quantitative field (or equivalent experience).
  • Excellent collaboration skills; experienced working in matrixed environments across multiple teams.
  • Exceptional communication and storytelling ability; skilled at simplifying complex concepts for different audiences.
  • Strategic operator with hands-on detail orientation; comfortable setting vision and diving into technical details.
  • Bias for action — proven ability to move initiatives forward, measure impact, and iterate quickly.