Senior Technical Product Manager

This is a fully remote position, open to applicants in Canada.

📋 Description

• Lead the strategic direction for the event data pipeline.

• Collaborate with data engineering to enhance the ingestion, normalization, and accessibility of event data, ensuring it is clean and governed across the platform.

• Manage the product backlog for stream event ingestion, machine learning, and platform feature data normalization, along with governed data infrastructure.

• Facilitate sprint execution in partnership with data engineering teams.

• Convert use cases and functional requirements from Sales, Customer Experience (CX), and other cross-functional teams into detailed product requirements.

• Maintain a proactive presence in discussions with Sales and CX, linking team efforts to customer and business needs.

• Contribute to the overall data and integrations portfolio and ensure a cohesive platform roadmap.

• Establish and monitor reliability and quality benchmarks for delivered pipeline features.

• Oversee performance in the 60 to 90 days post-launch.

• Stay updated on the event data and data platform landscape, actively participating in architectural trade-off discussions.

• Champion customer interests in all interactions and decisions.

• Report directly to the Director of Product Management for Data and Integrations.

⛳️ Requirements

• Over 5 years of product management experience collaborating closely with engineering teams on technically complex, data-driven products.

• Proficient in event data pipeline concepts, including stream event ingestion, real-time data processing, and data normalization.

• Knowledgeable about modern data stack technologies like Snowflake, Kafka, Databricks, or Airflow.

• Previous experience in software engineering or data engineering is highly advantageous.

• Proven ability to interpret use cases and functional requirements from both commercial and non-technical stakeholders into clear, actionable product specifications.

• Skilled at establishing credibility with both data engineering teams and commercial partners, such as Sales and CX.

• Strong prioritization skills across a defined backlog, with attention to broader platform dependencies.

• Effective in clear, plain-language communication, comfortable in both sprint ceremonies and customer-facing discussions.

🏝️ Benefits

• Additional bonus based on the specific position offered.

• Comprehensive medical, financial, and/or other benefits.