9 дней назад
Senior Technical Product Manager (Data & AI)
123 300 - 160 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Technical Product Manager (Data & AI): Owning and advancing an event data pipeline that ingests, normalizes, and governs data powering personalization and AI decisioning with an accent on stream ingestion, real-time processing, and platform architecture. Focus on translating commercial use cases into actionable product requirements, coordinating cross-team dependencies, and measuring pipeline reliability and quality after launch.
Location: Toronto, Canada (Remote)
Salary: CAD 123,300–160,000 per year, plus potential bonus and benefits.
Company
provides data-activated content generation and AI decisioning that helps brands personalize marketing content and improve revenue, workflow, and marketing agility.
What you will do
- Own the product backlog for the event data pipeline, including stream event ingestion, tracking, data normalization, and governed data infrastructure.
- Partner with data engineering to drive sprint-level execution and contribute to the broader data and integrations roadmap.
- Translate use cases and functional requirements from Sales, Customer Experience, and other stakeholders into actionable product requirements.
- Connect engineering work with customer and business needs through ongoing collaboration with commercial teams.
- Define reliability and quality benchmarks and monitor pipeline performance for 60–90 days after launch.
- Evaluate developments in event data platforms and contribute to architectural trade-off decisions.
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.
- Experience with modern data stack technologies such as Snowflake, Kafka, Databricks, or Airflow.
- Ability to translate commercial and non-technical stakeholder needs into clear product requirements.
- Strong prioritization skills across a defined backlog and its broader platform dependencies.
- Clear communication skills for sprint ceremonies and customer-facing conversations.
Nice to have
- Previous software engineering or data engineering experience.
Culture & Benefits
- Work remotely from Toronto.
- Collaboration with teams across North America, Central America, Europe, Australia, and Japan.
- Medical, financial, and other employee benefits.
- Inclusive and equal-opportunity workplace.
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