Netflix

Machine Learning Engineer

• Design and implement machine learning–driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS
• Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts
• Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes
• Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals
• Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals
• Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven bidding solutions

Machine Learning Scientist 5 – Core Ads Algorithms

Producer

• Define and drive the process for evaluating and greenlighting new game projects
• Lead intake and due diligence efforts for game projects
• Mentor a team of producers and foster collaboration
• Own the early-stage production pipeline and evaluate projects against Netflix's portfolio
• Architect and lead the due diligence process ensuring rigorous assessment
• Prepare and deliver Greenlight meeting materials
• Guide teams in defining project scope and resource requirements
• Build and maintain strong relationships with creative and technical leaders

Lead Game Producer – Early Stage Production

Content Marketing Manager

• Be accountable for a scalable, long-term user experience vision, while balancing a tactical strategy for the shorter-term roadmap
• Partner with executives across Netflix to identify business opportunities, and help illustrate the user experiences that capture these opportunities
• Drive the integration of short-form entertainment experiences across the portfolio, driving a scalable UX vision while delivering immediate impact
• Ensure quality of craft and design, and cohesion across all platforms, partners, and offerings
• Partner closely with multi-disciplinary team members - Product Design, Content Design, Partnerships, Product Management, Engineering, Merchandising, Research, and others – to define this new area of business
• Drive a human-centered design process for defining an experience strategy and executing features from concept to launch
• Innovate to meet new business and member needs while leveraging and contributing strategically and tactically to the overall IA and design system, accounting for delight, flexibility, and scalability
• Articulate the experience vision through strong storytelling to drive shared understanding and alignment across the company
• Partner with PMs to craft systematic solutions between user needs, data, business goals, and business strategy
• Facilitate collaborative work sessions with all levels of company stakeholders
• Be a fierce advocate for our members from around the world

Staff Product Designer – New Content Experiences

Support Engineer

• Build a deep understanding of the Netflix Ads Stack
• Drive the end-to-end integration lifecycle
• Serve as the voice of the customer and primary technical point of contact for external partners
• Provide hands-on technical support for integrations
• Act as the internal quarterback for critical incidents
• Manage communication between the client and Product/Engineering during outages

Integrations Support Engineer 5 – Ads Engineering

Full-stack Engineer

• Develop product features and foundational infrastructure for the Cloud Games SDK and corresponding bindings to common game engine plugins (Unity, Unreal)
• Collaborate cross-functionally with product, design, and engineering partners to scope project roadmaps and build functionality to level up our game development experience
• Engage with game development partners to understand developer pain points and troubleshoot issues, and drive prioritization and execution of the right solutions
• Architect maintainable, performant client code with effective documentation
• Design code for testability and write automated tests to help uphold product quality

Software Engineer 5, Cloud Games SDK

Product Manager

• Define and execute a product strategy for the Ads Platform and translate the strategy into a product roadmap
• Manage products from concept to launch, delivering features iteratively
• Create strong partnerships with Netflix product teams, establishing continuous feedback loops to better understand their problems
• Foster and contribute to a vibrant exchange of ideas, and effectively articulate your vision and strategy across the organization
• Continuously evaluate and measure the success and effectiveness of our products, defining the metrics to drive this execution.

Senior Manager, Product Management – Supply, Ads

Data Scientist

• Build, lead, and inspire a high-performing team of data scientists and analytics engineers.
• Foster strong, collaborative partnerships with key stakeholders across Product, Engineering, and GTM teams.
• Define and execute a team charter and measurement roadmap that scales with the business—prioritizing high-impact initiatives, product integrations, and standardized post-campaign reporting capabilities.
• Act as a bridge between technical and commercial teams, bringing deep understanding of the ads ecosystem—including how CTV campaigns are served, measured, and optimized—to shape both product features and go-to-market narratives.
• Oversee integration and validation of third-party measurement partners, ensuring accuracy, consistency, and interoperability with internal systems while evaluating when first-party solutions provide differentiated value.
• Ensure the delivery of consistently high-quality, statistically rigorous measurement outputs, including campaign lift results, incrementality experiments, and actionable insights that influence product direction and client strategies.
• Champion clarity in reporting and visualization, guiding the development of self-serve dashboards, post-campaign wrap reports, and executive summaries that resonate with both technical and non-technical audiences.

Data Science Manager, Measurement – Ads DSE

Engineering Manager

• Help shape the team charter and the future of Trust & Safety at Netflix
• Drive clarity on the future requirements and innovations needed to stay ahead of adversaries
• Maintain and improve observability, metrics, SLOs, and documentation for high reliability of T&S services
• Ensure the integrity, accuracy, and auditability of T&S decision systems and workflows
• Build and maintain tools and configurations to empower teams to manage T&S systems safely
• Establish rigorous testing frameworks to guarantee the safety and effectiveness of changes
• Design and maintain data schemas and ETL workflows to enable insight and innovation

Engineering Manager, Trust & Safety Foundations

• Build developer-friendly APIs, SDKs, and CLIs that let researchers and engineers—experts and non-experts alike—submit and manage batch inference jobs with minimal effort, particularly in the domain of content and media
• Design, implement, and operate distributed services that package, schedule, execute, and monitor batch inference workflows at massive scale.
• Instrument the platform for reliability, debuggability, observability, and cost control; define SLOs and share an equitable on-call rotation.
• Foster a culture of engineering excellence through design reviews, mentorship, and candid, constructive feedback.

Software Engineer 5 – Offline Inference, Machine Learning Platform

• Drive innovation in big data processing by contributing and adding to the team’s suite of data products and frameworks.
• Partner with our world-class algorithm teams to drive continuous improvement and innovation to Netflix personalization.

Software Engineer – Personalization

Data Engineer

• Develop and maintain complex data models for Netflix Surveys and our Research Platform
• Create data-driven solutions as a bridge between engineering, product, and data science
• Architect, strengthen, and expand the core data products that enable Consumer Research at Netflix
• Develop and maintain scalable data pipelines to manage and transform large amounts of survey, social, and behavioral data
• Fully own critical portions of Netflix's Research data products
• Collaborate with stakeholders to understand needs, model tables using engineering and data warehouse best practices
• Develop large scale data processing solutions to ensure timely delivery of high-quality data
• Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products for analysis and reporting
• Develop best practices for governance of data sets with sensitive information
• Build strong and collaborative partnerships with data scientists, analytics engineers, and researchers.

Data Engineer, Research Data Products

• Guide our development teams with a sharp focus on our goals and the priorities that will best achieve these.
• Foster an environment of collaborative innovation, developing new technologies hand in hand with creative partners.
• Partner with cross-functional teams to conduct thorough project due diligence, establishing confidence levels in new opportunities.
• Define and oversee milestone deliverables and project production to keep the quality of the player experience at the forefront.
• Seek out and assess project risks to provide expert recommendations and ensure predictable delivery timelines.
• Forge strong new partnerships to tackle the hairiest problems and never-done-before opportunities with creativity and teamwork.
• Plan and manage Live Service transition points, collaborating with partners to achieve a smooth handover and continuing high quality operations.
• Utilize data-driven insights to inform decisions and improve key performance indicators towards the business goals.
• Hold high stakes conversations with diplomacy and authenticity to keep the quality bar high and our teams on track.
• Be an incredible communicator, with all teams informed, aligned, and moving together towards our north stars.
• Mentor and support the growth of other producers.

Senior Producer, Narrative Games

• Develop and own the product vision, strategy, and roadmap for Enterprise GenAI solutions supporting Netflix Ads, aligning with business goals, platform teams, and cross‑functional product priorities.
• Identify and prioritize high‑impact GenAI use cases to streamline Ads operations and Sales workflows, driving clarity in ambiguous problem spaces, defining clear success metrics, and translating opportunities into scalable product solutions.
• Partner closely with engineering, design, and data science to translate requirements into clear product specifications and deliver high‑quality product experiences on time and at scale.
• Collaborate with internal Ads and Sales stakeholders to deeply understand operational workflows, pain points, and opportunities where GenAI and agentic capabilities can materially improve productivity and decision‑making.
• Monitor product performance, adoption, and engagement, and use both quantitative metrics and qualitative feedback to guide prioritization and continuous improvement.
• Stay current on market trends, emerging GenAI capabilities, and the competitive landscape—bringing fresh, informed thinking into product strategy and execution for Ads and enterprise use cases.
• Drive effective change management and enablement to support the successful rollout and adoption of new AI‑powered tools across Ads and adjacent teams.
• Ensure GenAI solutions are developed and deployed in alignment with Netflix’s values around safety, fairness, and transparency.
• Collaborate with legal, privacy, security, and ethics teams to mitigate risk and ensure compliance.

Product Manager – Ads

• Help other teams at Netflix understand the outcome of a change (e.g. a code change)
• Provide early insights into any unintended consequences, such as increased error rates or latency
• Work on expanding canary approach to new use cases, including libraries and functions.
• Increase confidence that Netflix's most critical applications are resilient under different expected and unexpected conditions.
• Scale out chaos testing to recurrently validate fallback behaviour on behalf of application owners.

Software Engineer L4 – Resilience Engineering

• Work closely with ads platform engineers, product managers, and designers to create, synthesize, format, revise, and update the information that advertisers need to integrate with our advertising platform.
• Establish the information architecture, voice and tone, style guide, and general best practices for the presentation of complex documentation.
• Create a standard workflow for how the information is ingested from Netflix’s ads platform PMs and engineers and then presented to advertisers.
• Establish the rubric for how changes to the documentation are communicated to cross-functional Netflix teams, as well as external partners (e.g. release notes for new builds and updates).
• Work closely with the XD team to understand the platform features implemented within the Product UI, in order to ensure the relevant context is presented to advertisers in a useful and usable way.
• Audit existing documentation and discover opportunities for improvement and optimization; drive improvements to implementation through establishing workflows, action items, and collaborative processes.
• Initiate, define, and lead new content design projects from conception to completion across the ads documentation product area.
• Define content design workflows and parameters for the work to drive discussion and bring to implementation.
• Evaluate Content Management System requirements, and advocate for changes as needed.