AI Operations Lead, Roku Data Cloud

Roku•New York, NY

22h•$174,100 - $225,500•Hybrid

About The Position

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.

Requirements

7+ years of experience in finance systems, revenue operations, business intelligence engineering, or data automation
Strong experience with Salesforce, Snowflake, and business intelligence tools such as Tableau, Looker, or Power BI
Demonstrated track record of building end-to-end automated reporting systems for finance and go-to-market teams
Proficiency in SQL, data modeling, and ETL/ELT pipeline development
Experience integrating product management tools with financial and operational data sources
Strong understanding of SaaS metrics including ARR, NRR, COGS, and contribution margin
Effective stakeholder management and communication skills across technical and non-technical audiences
Experience in ad tech, mar tech, or data platform businesses
Familiarity with cloud data architectures and API integrations
Knowledge of data governance and compliance in the context of financial reporting

Responsibilities

Integrate Salesforce data with product roadmap tracking tools to connect pipeline, forecasts, and revenue outcomes to product delivery
Automate data flows between Salesforce, Snowflake, and business intelligence platforms to surface go-to-market and revenue insights
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
Ensure dashboards are real-time, accurate, and self-service for stakeholders across the organization
Establish source-of-truth systems for finance, product usage, and revenue data
Define data governance standards, metric definitions, and integration frameworks
Create automated ETL/ELT processes for finance data refreshes and reporting
Architect scalable systems that can incorporate new metrics, products, and revenue models without significant rework
Design business intelligence layers and data models that enable analysts and business leaders to run their own queries and generate insights independently