3 days ago

Senior Engineering Manager - Agent Platform, AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead the Agent Platform team that provides the agent-specific foundation used by every agent at Netflix. Own the technical charter, set the strategy and roadmap, and make build-vs-partner decisions for scalable agent runtimes, execution environments, memory, identity/permissions, discovery/registry, evaluation, and tool interfaces. Grow a high-performing team, operate as part of the AI Platform leadership group, and drive durable primitives that improve agent behavior over time.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Own the charter and technical direction: set the platform’s strategy and roadmap and decide what to invest in ahead of demand.
•Lead and grow the team through hiring, development, and retention while maintaining a high bar for engineering quality.
•Make build, adopt, or partner decisions on capabilities and define interfaces between owned and partner-provided components.
•Turn hard agent problems into durable primitives, including structured replayable reasoning/tool-call trajectories, evaluation signal, compounding memory, and safe rollout via eval gates.
•Operate as part of the AI Platform leadership team by setting direction with peers, representing the team in senior forums, and driving cross-team alignment.

Pay and Benefits

Salary: USD 676,000 - 1,195,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveDisability

Key Requirements

•Experience leading and growing engineering teams building and operating platform or infrastructure at scale, including managing senior individual contributors and/or managers.
•Hands-on experience designing, building, and operating agentic systems in production (agent runtimes and harnesses, tool use, memory, and evaluation).
•Breadth across business applications, having built or led agents spanning enterprise/internal or consumer-facing use cases at scale.
•Strong engineering foundation in distributed systems, cloud, and ML/AI infrastructure to make the hardest architectural decisions.
•Track record owning a platform charter and making build-versus-partner decisions with long-horizon scope tradeoffs.

Experience:Platform engineeringInfrastructureAgentic systemsDistributed systemsML/AI

Skills:CommunicationLeadershipJudgmentCollaborationOperational excellence

Tech Stack:Agentic systemsAgent runtimesMemoryEvaluationLLMDistributed systemsCloudAgent frameworksTool interfaces

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

3 days ago

Senior Engineering Manager - Agent Platform, AI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Own the charter and technical direction: set the platform’s strategy and roadmap and decide what to invest in ahead of demand.
•Lead and grow the team through hiring, development, and retention while maintaining a high bar for engineering quality.
•Make build, adopt, or partner decisions on capabilities and define interfaces between owned and partner-provided components.
•Turn hard agent problems into durable primitives, including structured replayable reasoning/tool-call trajectories, evaluation signal, compounding memory, and safe rollout via eval gates.
•Operate as part of the AI Platform leadership team by setting direction with peers, representing the team in senior forums, and driving cross-team alignment.

Pay and Benefits

Salary: USD 676,000 - 1,195,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveDisability

Key Requirements

•Experience leading and growing engineering teams building and operating platform or infrastructure at scale, including managing senior individual contributors and/or managers.
•Hands-on experience designing, building, and operating agentic systems in production (agent runtimes and harnesses, tool use, memory, and evaluation).
•Breadth across business applications, having built or led agents spanning enterprise/internal or consumer-facing use cases at scale.
•Strong engineering foundation in distributed systems, cloud, and ML/AI infrastructure to make the hardest architectural decisions.
•Track record owning a platform charter and making build-versus-partner decisions with long-horizon scope tradeoffs.

Experience:Platform engineeringInfrastructureAgentic systemsDistributed systemsML/AI

Skills:CommunicationLeadershipJudgmentCollaborationOperational excellence

Tech Stack:Agentic systemsAgent runtimesMemoryEvaluationLLMDistributed systemsCloudAgent frameworksTool interfaces

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor