3 дня назад
Staff Product Manager (AI)
236 000 - 339 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (AI): Evolving Tasks into a full end-to-end orchestration system that powers data engineering, analytics, machine learning, and AI workloads with an accent on defining product vision and driving the roadmap. Focus on delivering a unified orchestration experience for customers.
Location: US-WA-Bellevue
Salary: $236K - $339.2K
Company
enables every organization to mobilize their data with the Data Cloud.
What you will do
- Define and drive the product vision and roadmap for pipelines and orchestration in .
- Evolve Tasks into a full-featured orchestration platform supporting complex workflows and dependencies.
- Simplify how customers build pipelines by moving toward declarative, native orchestration models.
- Partner closely with data engineering, ML/AI teams, and other platform groups to deliver end-to-end solutions.
- Drive adoption and growth of existing capabilities while identifying new opportunities for expansion.
- Act as the single-threaded owner (DRI) for this product area.
Requirements
- 8+ years of product management experience (or equivalent experience in data platforms or engineering leadership).
- Strong background in data pipelines, orchestration, or data infrastructure.
- Experience with Airflow, Dagster, DBT, or similar tools is highly valuable.
- Proven ability to build platform products, not just features.
- Ability to operate in 0→1 and scaling environments.
- Strong technical fluency (SQL, distributed systems, or data processing concepts).
- Experience working with data engineering, ML, or AI workflows.
- Ability to operate as a highly autonomous owner in a complex, cross-functional environment.
- Excellent communication and stakeholder management skills.
Nice to have
- Experience building developer platforms or internal tools.
- Familiarity with modern data stack architectures.
- Background in AI/ML pipelines or workflows.
Culture & Benefits
- Opportunity to reinvent how work gets done using AI.
- Work in a dynamic and fast-moving environment with an experimental mindset.
- Help redefine the future of how work gets done.
- Be part of a team that shares values and challenges ordinary thinking.
- Contribute to building a future for themselves and .
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