Senior Product Manager

🕒 Junho 30

🗽 New York – Remoto

🗽 New York – Remote

💵 $130.000 - $170.000 / ano

⏰ Tempo Integral

🟠 Sênior

✅ Gerente de Produto

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 23%

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NBCUniversal

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2004

📱 Mídia

Media • Entertainment

Criamos conteúdo de classe mundial, que distribuímos em nosso portfólio de filmes, televisão e streaming, e ganham vida por meio de nossos parques temáticos e experiências para o consumidor. Detemos e operamos marcas líderes de entretenimento e notícias, incluindo NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network e Peacock, nosso serviço de streaming premium com anúncios. Produzimos e distribuímos entretenimento audiovisual e programação de primeira linha por meio da Universal Filmed Entertainment Group e da Universal Studio Group, e contamos com parques temáticos e atrações de renome mundial por meio da Universal Destinations & Experiences. A NBCUniversal é uma subsidiária da Comcast Corporation.

Descrição

• Own end-to-end PDLC execution — from discovery and definition through delivery, launch, and iteration — for assigned Medallion data products and AI agentic workflow capabilities. • Own the product roadmap and backlog, prioritizing reusable solutions that scale across business units. • Drive prioritization, sequencing, and tradeoff decisions based on customer value and enterprise impact. • Write clear PRDs, user stories, and acceptance criteria to guide delivery teams. • Actively prototype and build agentic workflows and AI capabilities alongside engineering, accelerating delivery with AI tools. • Partner with data engineering and data science teams to ship production-grade data products and AI capabilities. • Define success metrics and track adoption, usage, and product health across engagements. • Own and manage 2–3 concurrent BU engagements, acting as the primary product lead for each. • Lead structured discovery across business units to identify systemic workflow friction and translate insights into scalable data-enabled solutions. • Support BU teams through hands-on enablement, guidance, and adoption of self-service data products. • Design and evolve reusable enablement approaches, templates, and frameworks that reduce dependency on white-glove support. • Drive measurable shifts in how business units leverage data and AI to plan, prioritize, and deliver work. • Advise cross-functional teams on complex data product and AI workflow matters. • Establish and uphold standards for data governance, responsible AI, and centralized knowledge practices across engagements. • Contribute to data product standards, playbooks, and documentation. • Communicate progress, outcomes, and tradeoffs to stakeholders and executive leadership. • Understand the interrelationships between data platforms, AI frameworks, marketing technology, and business workflows. • Exercise judgment in selecting methods, evaluating and adapting complex techniques, and defining evaluation criteria for obtaining results.

🎯 Requisitos

• 8+ years of product management, technical product management, engineering, or heavy data experience with a relevant Bachelor's degree; or 3 years with a Master's degree; or equivalent work experience. • A builder's mindset — you actively use AI tools to prototype, accelerate, and ship rather than just specify and delegate. • Hands-on experience building or prototyping AI agents and agentic workflows. • Fluency with AI development and productivity tools • Technical depth sufficient to partner with engineering on architecture, evaluate tradeoffs, and contribute directly to building data products and agentic capabilities. • SQL proficiency — Comfortable writing queries, understanding data models, and evaluating data quality (e.g. Snowflake, BigQuery, etc.) • AI/ML frameworks — Demonstrated experience applying AI agent frameworks, LLM-based products, or automation tools to materially improve workflows and decision-making. • Familiarity with emerging AI standards and patterns (e.g., Model Context Protocol, vector databases, etc.). • Experience building or scaling Medallion architecture (Bronze/Silver/Gold layers) or data products.

🏖️ Benefícios

• medical, dental and vision insurance • 401(k) • paid leave • tuition reimbursement • variety of other discounts and perks