
10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $523k - $920k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
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10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
• Define and own the long-term technical strategy and executable roadmap for Platform Systems • Set engineering excellence standards for AIMS, including observability, reliability practices, on-call hygiene, and engineering norms • Own observability, evaluation, and tooling subsystems supporting Netflix’s next-generation ML architecture • Extend subsystems into everyday engineering workflows to reduce development friction • Hire, develop, and retain engineers across seniority levels • Build an environment where technical contributors grow into senior leaders • Partner with directors across AIMS and infrastructure teams on strategic planning and investments • Guide AI stack modernization, migration paths, and cross-functional alignment • Navigate ambiguity across platform engineering, ML infrastructure, and organizational change
• Significant experience leading platform or infrastructure engineering organizations operating distributed systems at scale • Strong technical depth in distributed systems • Hands-on experience building subsystems for advanced agentic architectures, including memory, trace, evaluation, replay, orchestration, or routing pipelines • Experience with ML infrastructure at scale, including online and offline model training pipelines • Track record of building high-performing engineering teams and developing senior technical talent • Track record of improving system reliability, reducing infrastructure costs, and accelerating engineering velocity at scale • Developer productivity mindset focused on removing friction, automating toil, and improving engineering tools and systems • Ability to operate at the intersection of engineering strategy and organizational leadership • Ability to influence without direct authority across a large organization • High tolerance for ambiguity and competing priorities in a fast-moving environment • Demonstrated experience driving large, cross-functional technical programs from strategy through execution • Familiarity with modern AI/ML infrastructure patterns, including feature stores, model serving platforms, and experiment frameworks • Familiarity with personalization systems or recommendation platforms
• Comprehensive 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
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