Senior Product Manager

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🗽 New York – Distant

🗽 New York – Remote

💵 $130 000 - $170 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

NBCUniversal

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 2004

📱 Médias

Media • Entertainment

Nous créons des contenus de classe mondiale, que nous distribuons au sein de notre portefeuille cinéma, télévision et streaming, et que nous faisons vivre à travers nos parcs à thème et nos expériences grand public. Nous détenons et exploitons des marques de premier plan dans le divertissement et l’information, notamment NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, et Peacock, notre service de streaming premium financé par la publicité. Nous produisons et distribuons des productions cinématographiques et des programmes de premier plan via Universal Filmed Entertainment Group et Universal Studio Group, et nous exploitons des parcs à thème et des attractions de renommée mondiale via Universal Destinations & Experiences. NBCUniversal est une filiale de Comcast Corporation.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

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