обновлено 4 дня назад
Senior Product Manager (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI/data analytics): Developing the Lens data analytics platform for commodities markets with an accent on customer-focused product development, agile delivery, and cross-functional collaboration. Focus on defining user requirements, instrumenting analytics, coordinating research, data, UX, and engineering teams, and translating stakeholder feedback into product functionality.
Location: Houston, United States
Company
provides analytics, insights, and proprietary data for the energy and natural resources industries through its Intelligence Connected platform.
What you will do
- Support the development of the Lens data analytics platform across Gas & LNG, Oils & Chemicals, and Metals & Mining.
- Act as the day-to-day bridge between Research Analysts, Data, UX, and Engineering teams.
- Define user requirements and clear acceptance criteria for multiple product features.
- Assist with solution documentation and testing to ensure customer fit.
- Gather customer and stakeholder feedback and translate it into product functionality.
- Collaborate with Sales and Marketing on product value, priorities, and go-to-market activities.
Requirements
- Product Management or analyst experience with an interest in expanding into Product Management.
- Experience with the product development lifecycle, including agile software development, design processes, and analytics instrumentation.
- Industry knowledge or strong interest in Gas & LNG, Oils & Chemicals, or Metals & Mining.
- Understanding of major industry players, market conditions, and industry standards.
- Strong written and oral communication skills.
- Experience with JIRA, Productboard, Amplitude, AWS, and Snowflake is relevant to the role.
Nice to have
- Experience with data migration projects.
- Experience using AI in product development.
Culture & Benefits
- Inclusive, trusting, customer-committed, future-focused, and curious working culture.
- Collaboration within a distributed team of experts across multiple countries.
- Equal opportunity employment regardless of legally protected characteristics.
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