Product Operations Lead, Ads Platform

Netflix, Inc.; New York (NY); On-site; USD 230,000 - 360,000; Full time

Benefits offered by this job

Health Plans

Mental Health support

401(k) Employer match

Stock Option Program

Disability Programs

Health Savings & FSAs

Family-forming benefits

Generous PTO

Job summary

Netflix, Inc. is seeking an experienced professional for the Ads Product Operations team to drive the agentic transformation of our product development lifecycle.

You will design, implement, and own the plugins, skills, and integrations that power product teams, and land AI proficiency across the organization. You will work across Product and Engineering, bridging discovery, planning, ideation, validation, and engineering collaboration, while maintaining high standards and measurable impact

Qualifications

• 8+ years in Product Operations, PM, software engineering, or related roles with measurable change programs.
• Deep understanding of PM-Eng collaboration and lifecycle in Enterprise B2B.
• Proficient with GitHub workflows and reading code, APIs, data.
• Hands-on with agentic coding tools and multi-agent workflows as core infra.
• Curious about AI landscape and productivity-driven business solutions.
• Experience defining evals and metrics to prove impact.

Responsibilities

• Enable the agentic transformation of the product development lifecycle as part of the Product Operations team.
• Modernize the core components of the lifecycle (discovery, planning, ideation, validation, and engineering collaboration) through agentic leverage.
• Author, ship, and maintain the plugins, skills, and integrations that product teams use every day.
• Land AI proficiency across the product organization through onboarding, hands-on labs, office hours, reusable enablement content, and a network of power users and champions.
• Evaluate agentic plugin and skill efficacy on an ongoing basis, monitor for drift as the underlying models evolve, and consolidate, refresh, or retire tooling accordingly.
• Steward the operating frameworks the organization runs on, keeping standards clear, reporting trustworthy, and work transparent across Product and Engineering.

Skills

Product Operations

PM/Program Management

Software Engineering

Engineering Operations

GitHub workflows

APIs & data

Agentic tools

Cross-functional collaboration

Tools

GitHub

Git workflows

APIs

Job 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.

Our Team

The Ads Platform team builds the advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We deliver ads in a manner that’s thoughtful of our member experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them and Netflix’s advertising policies and contracts are thoroughly enforced. Our team is faced with the ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

Ads Product Operations Team

The Ads Product Operations team sits inside the Netflix Advertising team and owns the operating layer for Product, often bridging the boundary to Engineering and Design teams. Our team focuses on: How work gets prioritized, how decisions get made and tracked, and how teams stay aligned as the ads business scales. The team designs and maintains the frameworks, tooling, and artifacts that keep that organization running, and is now extending that mandate to agentic AI as core operational infrastructure. The Ads Product Operations team is searching for a technical, operational expert who is highly organized and execution-driven in the product management space. You bring deep curiosity and hands-on proficiency with agentic tools, and a strong sense of ownership for driving successful operational practices.

What you’ll be doing

• Enable the agentic transformation of the product development lifecycle as part of the Product Operations team.
• Modernize the core components of the lifecycle (discovery, planning, ideation, validation, and engineering collaboration) through agentic leverage.
• Author, ship, and maintain the plugins, skills, and integrations that product teams use every day.
• Land AI proficiency across the product organization through onboarding, hands-on labs, office hours, reusable enablement content, and a network of power users and champions.
• Evaluate agentic plugin and skill efficacy on an ongoing basis, monitor for drift as the underlying models evolve, and consolidate, refresh, or retire tooling accordingly.
• Steward the operating frameworks the organization runs on, keeping standards clear, reporting trustworthy, and work transparent across Product and Engineering.

We’re seeking a candidate who has

• 8+ years of experience in Product Operations, Product/Program Management, Software Engineering, Engineering Operations, or a closely related discipline, with a track record of operational change programs that measurably shifted how teams work.
• Deep understanding of how product managers and engineering teams collaborate, where the lifecycle breaks down, and what good looks like in an Enterprise B2B product environment.
• Working proficiency with GitHub and Git workflows (branches, pull requests, code review, versioned collaboration), with enough technical fluency to read code, follow an architecture conversation, and reason about APIs and data.
• Demonstrated proficiency with modern agentic coding tools (Claude Code, Codex, Cursor, or comparable) and mult-agent workflows as core daily infrastructure rather than a novelty.
• You use these tools to do your own work solving real problems and build scalable systems, not just to evaluate them.
• Deep curiosity about the fast-moving AI landscape with a focus on productivity and solving business problems: you track developments from AI labs, practitioners, and experts, and bring ideas back to the team to fold into how we operate.
• Hands‑on experience authoring agentic capability beyond prompting: skills, plugins, agents, or equivalent.
• Working fluency in the systems and data infrastructure involved in how AI agents consume and act on content (embeddings, RAG, retrieval quality, context windows, prompt design), enough to collaborate with engineering partners.
• Experience defining and applying evals and quality benchmarks for agentic capabilities and iterating based on measured outcomes.
• Proven ability to drive organizational change through hands‑on enablement, advocacy, and the instrumentation to prove it landed: defining metrics, standing up reporting, and distinguishing activity from outcome.
• Strong judgment about where automation and process belongs, applying process to the outcomes that benefit from it rather than defaulting to it, with the credibility to hold that line with stakeholders.
• Outstanding written and verbal communication skills, with the ability to simplify complex topics and influence across Product, Engineering, and executive audiences.
• Proven ability to operate as an individual contributor, driving outcomes independently and influencing cross‑functional teams (especially PM and Eng) without direct authority.
• Experience in advertising technology or a comparable Enterprise B2B platform business is preferred.

Compensation

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $230,000.00 - $360,000.00.

Benefits

• Health Plans
• Mental Health support
• a 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.

Company Culture and Inclusion

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.

We approach diversity and inclusion seriously and thoughtfully.

We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, we want to entertain the world. Whatever your taste, and no matter where you live, we give you access to best‑in‑class TV series, documentaries, feature films and games. Our members control what they want to watch, when they want it, in one simple subscription. We’re streaming in more than 30 languages and 190 countries, because great stories can come from anywhere and be loved everywhere. We are the world’s biggest fans of entertainment, and we’re always looking to help you find your next favorite story.