Product Manager L6 – Data Platform, Analytics Experience

🕒 Julho 21

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $440.000 - $725.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 22%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Netflix

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1997

📱 Mídia

👥 B2C

Media • B2C

A Netflix é uma empresa global de entretenimento via streaming e produtora de conteúdo cuja missão declarada é "entreter o mundo". Ela opera uma plataforma de assinatura voltada para o consumidor que oferece programas de TV, filmes e programação original sob demanda, além de manter um site público de carreiras que enfatiza cultura, inclusão e acomodações de contratação. O texto fornecido destaca o foco da Netflix em recrutar talentos mundialmente, suas páginas de cultura e qualidade de vida no trabalho, e seus materiais para empregadores voltados para o público.

Descrição

• Develop a long-term vision and strategy for the Analytics Experiences portfolio • Build user understanding through engagement, research, and feedback loops • Develop and prioritize initiatives across the portfolio, including IDE-centric productivity, semantic layer, and conversational analytics • Partner with design and engineering to define requirements and validate solutions • Support architecture decisions regarding sustainability, scalability, flexibility, and technical debt • Create rollout strategies and promote capabilities through communication, education, and roadshows • Provide documentation, learning resources, and self-service tools • Define success metrics and track productivity gains through data-informed experiments • Develop platform standards and processes, including API design guidelines, versioning policies, and deprecation protocols • Build strategic relationships and foster cross-functional collaboration • Lead Data Developer and Analytics Experiences, including practitioner inner-loop tooling and workflow orchestration • Own experiences for defining, scheduling, executing, monitoring, and operating data workflows, including dependency management, backfills, retries, and workflow observability • Shape product direction and deliver capabilities across developer productivity, workflow orchestration, data quality, observability, and AI-native development

🎯 Requisitos

• 8+ years of Technical Product Management experience (or equivalent technical role) in complex technical domains • Comfortable discussing technical design trade-offs and system quality attributes with engineering teams • Strong knowledge of modern analytics architectures and data developer tooling • Knowledge of dbt-based transformation workflows • Knowledge of workflow orchestration and scheduling • Deep familiarity with IDEs and notebooks (Cursor, JupyterLab, VS Code) • Experience with Python/SQL developer tooling • Familiarity with interactive compute environments • Familiarity with data quality/observability frameworks • Demonstrated passion for Analytics and awareness of emerging trends • Proven track record of managing product portfolios in complex technical domains • Ability to connect business objectives with user needs and make thoughtful trade-offs • Deep understanding of user needs through continuous engagement • Ability to articulate ROI of technical investments in business terms • Analytical mindset using quantitative and qualitative data to inform product decisions • Timely decision-making and ability to reduce ambiguity • Collaborative mindset and ability to give and receive feedback • Ability to build relationships across organizational boundaries and drive alignment • Outstanding written and verbal communication skills • Consistent, high-quality delivery with disciplined prioritization • Ability to make decisions with imperfect information and adapt based on user feedback

🏖️ Benefícios

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off