[Hiring] Senior Engineering Manager @Netflix

Role Description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right entertainment for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

The Opportunity:

• Agents are becoming a primary way software gets built and work gets done at Netflix — and the AI Platform is building the foundation they run on.
• The Agent Platform team owns the agent-specific layer that every agent at Netflix depends on: the runtime and execution environment, memory, identity and permissioning, discovery and registry, evaluation, and the tool/MCP interfaces agents use to act.
• We build the paved path agent developers across the company build on, and we operate the runtimes for the workloads the general platform can't reach — including at member scale.
• We're looking for a Senior Engineering Manager to lead this team.
• This is a small, senior, high-leverage group working at the front edge of a domain that is still being invented.
• The hardest part of this job is not the code — it is choosing what to build, and what will still matter once today's tools are gone.

You will:

• Own the charter and technical direction.
• Set the platform's technical strategy and roadmap.
• Lead and grow a high performing team.
• Hire, develop, and retain excellent engineers; set a high bar; and create the conditions for a small team to have outsized impact.
• Make sharp build, adopt, or partner calls.
• Decide which capabilities the platform owns and which it draws from partner teams.
• Turn the new hard problems into primitives.
• Operate as part of the AI Platform leadership team.

Qualifications

• Experience leading and growing engineering teams that build and operate platform or infrastructure at scale.
• Hands-on experience designing, building, and operating agentic systems in production.
• Breadth across business applications.
• A strong engineering foundation in distributed systems, cloud, and ML/AI infrastructure.
• A track record of owning a platform's charter.
• Cross-organizational credibility.
• Strong written and verbal communication; comfort with ambiguity.

Requirements

• Experience with the emerging class of agent concerns.
• Experience running a platform that other engineers consume as a product.
• Credibility in a relevant open-source ecosystem.

Benefits

• 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.
• Full-time salaried employees are immediately entitled to flexible time off.