Principal Product Manager, Data Ingestion

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Summary

At Genesys, we believe every customer interaction is a chance to build loyalty. Our Journey Management platform sits at the center of this mission — transforming massive streams of interaction data into insights that drive smarter engagement and better experiences.

We’re seeking a Senior Product Manager to lead the data ingestion and querying foundation of the platform. This is a highly visible, highly matrixed role that involves working closely with product managers who own various data sources and with our core data infrastructure teams. Together, you’ll ensure we deliver fast, trustworthy, and scalable insights that analysts and business leaders can rely on.

This is an exciting opportunity for a product leader who thrives at the intersection of data platforms, analytics, and customer value. Your work will directly shape how organizations explore, trust, and act on their customer journey data.

Key Responsibilities

The primary responsibilities for this role include (but are not limited to):

• 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 (e.g., agent, web, outbound, custom events) 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.

• Drive roadmap clarity and execution, breaking complex initiatives into clear deliverables, aligning stakeholders, and keeping execution on track.

Minimum Requirements

• 6+ years of product management experience with data or analytics platforms.

• 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.

• 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.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related quantitative field (or equivalent experience).

Desirable Skills

• 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).

• Experience balancing first-party platform data and external integrations.

• Background in customer analytics, data visualization, or applied AI/ML.

• MBA or advanced degree in a technical or business-related field.