обновлено 13 дней назад
Global AI Product Management Leader (AI)
263 400 - 329 200$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Global AI Product Management Leader (AI Platform): Leading the strategy and execution of Teradata’s AI platform portfolio, enabling enterprises to build, deploy, monitor, govern, and scale AI/ML, generative AI, and agentic AI solutions on trusted enterprise data with an accent on ModelOps, LLMOps, vector capabilities, and open ecosystem integrations. Focus on defining platform roadmaps, driving enterprise AI adoption, coordinating global product teams, and solving complex challenges in governance, interoperability, performance, cost efficiency, and production-scale AI operations.
Location: Remote within the United States; California and San Diego, California are listed
Salary: $263,400–$395,100 annually
Company
provides an enterprise data and AI platform that connects data, knowledge, and business context across on-premises, cloud, and hybrid environments.
What you will do
- Own the vision, strategy, and roadmap for ’s AI platform portfolio, including VantageCloud Lake, ClearScape Analytics, AI Unlimited, ModelOps, LLMOps, and enterprise vector capabilities.
- Define capabilities for building, testing, deploying, monitoring, and governing AI/ML, generative AI, and agentic AI solutions on trusted enterprise data.
- Lead and develop a global product management team responsible for roadmap prioritization, customer discovery, launches, and adoption.
- Partner with engineering, architecture, data science, cloud, security, sales, customer success, and executive stakeholders.
- Drive interoperability with Python, Jupyter, open table formats, cloud data lakes, external model providers, open-source models, and cloud LLM services.
- Establish success metrics covering adoption, usage, time to value, revenue impact, platform performance, and AI workload efficiency.
Requirements
- Experience leading product strategy for enterprise AI, analytics, data platforms, cloud platforms, or AI/ML infrastructure.
- Demonstrated success scaling platform products and driving customer adoption, revenue growth, and measurable business outcomes.
- Strong understanding of AI/ML lifecycle management, ModelOps, LLMOps, generative AI, agentic AI, vector search, retrieval-augmented generation, and enterprise AI governance.
- Experience with cloud data platforms, data lakes, open table formats, Python-based analytics workflows, Jupyter notebooks, APIs, and open-source or cloud-native AI services.
- Executive-level communication, product judgment, roadmap governance, prioritization, and cross-functional leadership skills.
- Advanced degree in computer science, data science, engineering, business analytics, or equivalent practical experience.
Culture & Benefits
- Flexible work model supporting decisions about how, when, and where work is performed.
- People-first culture with a focus on well-being and inclusion.
- Healthcare, life and disability insurance, retirement savings including a 401(k), and time-off programs.
- Eligibility for an annual incentive plan based on company financial performance and individual performance.
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