Senior Technical Product Manager

movableink; United States; Remote; USD 86,000 - 112,000; Full time

Benefits offered by this job

Medical benefits

Inclusive hiring

Equal opportunity employer

Job summary

Movable Ink is seeking a senior product manager to drive the direction of an event data pipeline within a personalization platform. You will own the backlog for stream ingestion, data normalization, and governed data, partnering with data engineering to shape the platform roadmap.

You will translate commercial requirements into actionable product specs and maintain credibility with both data teams and sales, ensuring delivery aligns with business outcomes.

Qualifications

• 5+ years of product management experience with engineering teams on data-intensive products.
• Fluent with event data pipeline concepts including ingestion, processing and normalization.
• Familiar with Snowflake, Kafka, Databricks or Airflow; software/data engineering exposure a plus.
• Ability to translate business use cases into clear product requirements.
• Comfort engaging with data engineering and commercial partners to align roadmaps.

Responsibilities

• Own backlog for event data pipeline and data governance, coordinating with data engineering.
• Translate commercial requirements into scoped product requirements for implementation.
• Collaborate with sales and customer experience to tie shipped work to outcomes.
• Contribute to cross-team data and integrations roadmap beyond backlog.
• Define and monitor reliability and quality benchmarks post go-live.

Skills

PM with Eng teams

Event data pipeline

Data stack familiarity

Requirements translation

Communication

Tools

Snowflake

Kafka

Databricks

Airflow

Job description

Role overview

A senior product manager is needed to drive direction for an event data pipeline at a personalization platform that serves marketing use cases through AI-driven content generation. The role sits at the intersection of product and data infrastructure, owning the backlog for stream event ingestion, data normalization, and governed data while partnering closely with data engineering. Reporting to the Director of Product Management for Data and Integrations, the position serves as the translator between commercial stakeholders and engineering teams, helping shape a coherent platform roadmap.

Responsibilities

• Own the product backlog for an event data pipeline, including stream event ingestion and tracking, normalization of data generated by ML and platform features, and governed data infrastructure, driving sprint-level execution alongside data engineering partners
• Convert use cases and functional requirements from commercial teams into well-scoped product requirements that engineering can execute against
• Act as a visible and trusted partner to commercial and cross-functional teams, maintaining an active presence in sales and customer experience conversations and connecting shipped work to customer and business outcomes
• Contribute across the broader data and integrations portfolio where event data decisions create cross-team dependencies, helping shape a coherent platform roadmap beyond the immediate backlog
• Define and track reliability and quality benchmarks for shipped pipeline features, monitoring performance in the 60 to 90 days following go-live
• Stay current on evolving event data and data platform trends, bringing informed perspective to architectural trade-off conversations with engineering
• Champion the customer perspective in every interaction and decision

Requirements

• 5+ years of product management experience working directly with engineering teams on technically complex, data-intensive products
• Fluency in event data pipeline concepts including stream event ingestion, real-time data processing, and data normalization
• Familiarity with modern data stack technologies such as Snowflake, Kafka, Databricks, or Airflow; prior software engineering or data engineering experience is a strong plus
• Demonstrated ability to translate use cases and functional requirements from commercial or non-technical stakeholders into clear, actionable product requirements
• Comfort building credibility with both data engineering teams and commercial partners such as sales and customer experience
• Strong prioritization instincts across a defined backlog with an eye toward broader platform dependencies
• Clear, plain-language communication style, equally at home in sprint ceremonies and customer-facing conversations

Benefits and work setup

• Base pay range of 123,300 to 160,000 CAD per year, with potential additional bonus depending on the role
• Full range of medical, financial, and other benefits
• Inclusive hiring practices that encourage applications from candidates who may not meet every listed qualification
• Commitment to equal opportunity employment across race, gender identity, age, disability, veteran status, and other protected characteristics