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Staff Product Manager (AI Migrations)
236 000 - 339 200$
Описание вакансии
Текст:
TL;DR
Staff Product Manager (AI Migrations): Developing AI-powered tools for customers and partners to transition their data ecosystems to the AI Data Cloud with an accent on data integrity, performance, and completeness during and after migration. Focus on defining features and processes that ensure the accuracy, completeness, and consistency of migrated data.
Location: Menlo Park, CA or Bellevue, WA
Salary: $236,000 - $339,200
Company
empowers enterprises to achieve their full potential with a culture focused on impact, innovation, and collaboration.
What you will do
- Understand customer data migration needs through research and analysis, focusing on data integrity and performance.
- Contribute to the product strategy and roadmap for data migration capabilities, aligning with the overall product vision and customer needs.
- Define product requirements, user stories, and acceptance criteria for data migration features in collaboration with engineering and design teams.
- Support product development by guiding engineering teams, clarifying requirements, and prioritizing tasks for timely delivery and quality.
- Understand how data migration features fit into the broader ecosystem, recognizing dependencies and supporting a holistic migration process.
- Analyze feature performance using usage data and customer feedback to identify areas for improvement and demonstrate value.
Requirements
- Extensive experience (10+ years) building and delivering enterprise products.
- Strong familiarity with data ecosystems (databases, analytics, data engineering, ETL).
- Experience building and delivering tools or platforms for data engineers or developers.
- Proven experience delivering GenAI products, particularly those involving AI-powered code translation, developer co-pilots, or complex semantic validation.
Culture & Benefits
- Opportunity to be at the forefront of data and application modernization.
- Directly impact customer success by enabling the strategic leveraging of the AI Data Cloud.
- Solve complex, high-value challenges and build essential products and APIs.
- Accelerate the adoption of , driving significant value for customers.