7 дней назад
Senior Product Manager, Data Platform (AI)
122 000 - 179 300CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, Data Platform (AI): Building a self-serve analytics data platform for storage, compute, orchestration, and AI workloads with an accent on reliability, cost visibility, performance, security, and compliance. Focus on defining platform strategy, leading migrations, simplifying infrastructure for technical users, and balancing scale, performance, and cost.
Location: Toronto, ON, Canada. The role may require in-person onboarding and/or in-person identity verification.
Salary: CAD 122,000–179,300 starting base salary, with offers potentially exceeding this range based on experience and geographic location.
Company
develops software that helps innovators design and make products, buildings, infrastructure, and media.
What you will do
- Own the vision and roadmap for storage, compute, orchestration, and workflow connectivity across the analytics data platform.
- Define a unified, self-serve experience for provisioning storage, compute, and access on demand.
- Set reliability, performance, cost, security, and compliance standards for business-critical analytics and AI workloads.
- Partner with distributed engineering teams and platform users to identify friction and prioritize improvements.
- Lead product requirements, technical discussions, quarterly planning, prioritization, migrations, and lifecycle management.
- Measure platform adoption, provisioning time, reliability, performance, and cost while supporting teams through documentation and product guidance.
Requirements
- 4+ years of product management experience, including infrastructure or platform products at scale.
- Experience with data platforms, cloud infrastructure, developer tooling, or comparable technical products.
- Ability to align cross-functional and globally distributed teams without formal authority.
- Technical depth in storage, compute, query engines, orchestration, scale, performance, and cost trade-offs.
- Experience with product discovery, data-driven decision-making, end-to-end delivery, and large-scale migrations.
- Ability to work in or be available for the Toronto, Canada location, including possible in-person onboarding or identity verification.
Nice to have
- Experience with Spark, Trino, Athena, Kubernetes, EKS, Iceberg, Snowflake, Airflow, Temporal, or Metaflow.
- Experience with big-data access management, platform observability, cost and performance management, Looker, notebooks, or query workbenches.
- Experience leading multi-region or data-residency migrations and conducting build-versus-buy or vendor assessments.
Culture & Benefits
- Work on analytics and AI infrastructure used across products and teams.
- Culture focused on belonging, meaningful work, and helping create a better-designed and made world.
- Competitive compensation package that may include annual cash bonuses, stock grants, and comprehensive benefits.
- Collaboration with distributed engineering and internal platform teams.
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