11 часов назад
Product Manager (AI)
120 000 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI) (Data Analytics/AI): Owning the vision, strategy, and roadmap for enterprise data, analytics, and AI products with an accent on AI-native capabilities, stakeholder alignment, and adoption. Focus on translating complex technical and business needs into product requirements, evaluating build-versus-buy decisions, and driving analytics product rollouts in a large matrixed organization.
Location: New York, NY, USA
Salary: $120,000–$140,000 USD annually
Company
is a global live entertainment company operating Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship.
What you will do
- Own the vision, strategy, and roadmap for data, analytics, and AI products.
- Translate stakeholder needs into product priorities and clear requirements while balancing business value, user needs, technical feasibility, and delivery speed.
- Lead the development and rollout of AI-native analytics capabilities with engineering, data science, analytics, and business teams.
- Drive complex initiatives forward in a large, matrixed organization and create clarity amid ambiguity.
- Define success metrics, increase product adoption, manage change, and improve products using user feedback and data.
- Communicate priorities, trade-offs, recommendations, and build-versus-buy decisions to senior stakeholders.
Requirements
- 5+ years of product management experience building data, analytics, AI, or other technically complex products.
- Proven success leading cross-functional initiatives in a large organization and delivering at pace.
- Experience working with data, analytics, engineering, or data science teams to develop enterprise products.
- Ability to translate complex technical concepts into clear business requirements and influence technical and non-technical stakeholders.
- Strong judgment, ownership, decisive leadership, and the ability to operate effectively in uncertainty.
- Bachelor’s degree in a relevant field or equivalent practical experience.
Nice to have
- Master’s degree or other postgraduate education.
- Working knowledge of data science and data analytics processes for validating data, metrics, and analytical outputs.
- Knowledge of emerging AI and LLM technologies, vendor ecosystems, and agentic workflows for data analysis, storytelling, and product management.
- Experience evaluating enterprise data and AI platforms and vendors.
- Experience in media, entertainment, advertising, sponsorship, or audience analytics.
Culture & Benefits
- Medical, vision, dental, mental health benefits, and access to FSA or HSA programs.
- Free concert tickets and paid time off, including holidays, sick time, and personal days.
- 401(k) program with company match and stock reimbursement program.
- New parent, caregiver, fertility, adoption, foster, and surrogacy support.
- Career development programs, tuition reimbursement, and student loan repayment.
- Volunteer time off and crowdfunding match.
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