обновлено 4 часа назад
Product Owner (AI)
119 327 - 161 092$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Owner (AI) (Generative AI/Machine Learning): Defining and delivering AI-enabled products and solutions from business use-case identification through production deployment, with an accent on product strategy, Agile delivery, and measurable business value. Focus on translating ambiguous requirements into roadmaps and user stories, evaluating LLM and AI outputs, and establishing governance, performance metrics, and human-in-the-loop controls.
Location: Remote within the United States; available locations include Pittsburgh, PA; Glenview, IL; Raleigh, NC; Austin, TX; Houston, TX; Dallas, TX; Jersey Village, TX; and Phoenix, AZ.
Salary: $119,327–$161,092 annually.
Company
is a Fortune 500 business-to-business distribution, logistics services, and supply chain solutions company headquartered in Pittsburgh.
What you will do
- Identify, evaluate, and prioritize AI, Generative AI, Machine Learning, and Intelligent Automation use cases with business stakeholders.
- Build AI product roadmaps, define MVP scope, and guide solutions from proof of concept through production deployment and adoption.
- Own and prioritize the product backlog, translating business needs into epics, features, user stories, acceptance criteria, and functional requirements.
- Collaborate with data scientists, AI/ML engineers, software engineers, architects, Scrum Masters, and business stakeholders throughout Agile delivery.
- Define KPIs, success criteria, business cases, and ROI measures while monitoring product adoption and performance.
- Support Responsible AI, security, privacy, data governance, compliance, model evaluation, and human-in-the-loop controls.
Requirements
- 3–6+ years of experience in Product Management, Product Ownership, Business Analysis, Digital Transformation, Agile Delivery, or a related field.
- Experience owning or supporting technology products from business problem identification through implementation and adoption.
- Experience translating complex or ambiguous requirements into product requirements, user stories, and acceptance criteria.
- Strong understanding of Agile/Scrum methodologies, backlog management, stakeholder facilitation, and communication.
- Working knowledge of AI, Machine Learning, Generative AI, LLMs, analytics, or Intelligent Automation.
- Experience with Jira, Azure DevOps, Confluence, or similar product and delivery tools.
Nice to have
- Experience in Supply Chain, Sales, Commercial Operations, or related business functions.
- Experience delivering enterprise AI/ML or GenAI products from MVP to scalable production deployment.
- Knowledge of model evaluation, training and inference, data pipelines, prompt engineering, RAG, and LLM-based applications.
- Familiarity with Python, SQL, Snowflake, Azure/AWS/GCP AI services, APIs, and modern data platforms.
- Exposure to AI governance, Responsible AI frameworks, ROI assessments, and value-realization frameworks.
Culture & Benefits
- Team-oriented workplace grounded in respect and inclusion.
- Paid time off, medical, dental, and vision coverage for eligible employees.
- Retirement savings plans and potential bonus or sales incentive participation where applicable.
- Opportunity to work with a global workforce of more than 20,000 people.
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