AI Operations Lead, Roku Data Cloud

Job description

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What is the role? The AI Operations Lead will design, implement, and scale the financial and operational data infrastructure that powers decision-making for the Roku Data Cloud business. This role bridges finance, revenue operations, product, and analytics to ensure real-time, automated visibility into the business's financial health and performance against strategic product roadmaps. The AI Operations Lead will own the automation of finance data flows, the creation of executive dashboards, and the integration of revenue and product systems — enabling leadership to make faster, data-driven decisions. This individual will establish source-of-truth systems for finance, product usage, and revenue data while defining data governance, metric definitions, and integration standards. The role requires strong cross-functional collaboration with teams across Salesforce, Snowflake, and business intelligence platforms to surface go-to-market and revenue insights at scale. The ideal candidate brings a combination of financial acumen, technical fluency, and the ability to architect scalable, automated reporting systems that evolve with the business. For New York Only - The estimated annual base salary for this position is between $174,100 - $225,500. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We value curious, adaptable builders, who can show how they've used AI, agents, or automation to move faster, improve quality, and scale their impact. Strong candidates know how to frame problems, guide AI-assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment. What are the responsibilities of the role? • p]:inline" data-streamdown="list-item">Integrate Salesforce data with product roadmap tracking tools to connect pipeline, forecasts, and revenue outcomes to product delivery • p]:inline" data-streamdown="list-item">Automate data flows between Salesforce, Snowflake, and business intelligence platforms to surface go-to-market and revenue insights • p]:inline" data-streamdown="list-item">Build executive-level dashboards showing sales pipeline and forecasts tied to roadmap features, along with core financial metrics such as ARR, NRR, contribution margin, COGS, hosting costs, product servicing costs, and headcount costs • p]:inline" data-streamdown="list-item">Ensure dashboards are real-time, accurate, and self-service for stakeholders across the organization • p]:inline" data-streamdown="list-item">Establish source-of-truth systems for finance, product usage, and revenue data • p]:inline" data-streamdown="list-item">Define data governance standards, metric definitions, and integration frameworks • p]:inline" data-streamdown="list-item">Create automated ETL/ELT processes for finance data refreshes and reporting • p]:inline" data-streamdown="list-item">Architect scalable systems that can incorporate new metrics, products, and revenue models without significant rework • p]:inline" data-streamdown="list-item">Design business intelligence layers and data models that enable analysts and business leaders to run their own queries and generate insights independently What experience would help someone be successful in this role at Roku? • p]:inline" data-streamdown="list-item">7+ years of experience in finance systems, revenue operations, business intelligence engineering, or data automation • p]:inline" data-streamdown="list-item">Strong experience with Salesforce, Snowflake, and business intelligence tools such as Tableau, Looker, or Power BI • p]:inline" data-streamdown="list-item">Demonstrated track record of building end-to-end automated reporting systems for finance and go-to-market teams • p]:inline" data-streamdown="list-item">Proficiency in SQL, data modeling, and ETL/ELT pipeline development • p]:inline" data-streamdown="list-item">Experience integrating product management tools with financial and operational data sources • p]:inline" data-streamdown="list-item">Strong understanding of SaaS metrics including ARR, NRR, COGS, and contribution margin • p]:inline" data-streamdown="list-item">Effective stakeholder management and communication skills across technical and non-technical audiences • p]:inline" data-streamdown="list-item">Experience in ad tech, mar tech, or data platform businesses • p]:inline" data-streamdown="list-item">Familiarity with cloud data architectures and API integrations • p]:inline" data-streamdown="list-item">Knowledge of data governance and compliance in the context of financial reporting #LI-KR3 What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fri