2 дня назад
AI Operations Lead (Data Cloud)
174 100 - 225 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Operations Lead (Data Cloud): Designing and scaling financial and operational data infrastructure for Roku Data Cloud with an accent on automated reporting, revenue operations, and executive dashboards. Focus on integrating Salesforce, Snowflake, product systems, and business intelligence layers while establishing reliable source-of-truth data, governance, and scalable ETL/ELT pipelines.
Location: New York, United States; hybrid work with office attendance generally required Monday through Thursday and flexible remote work on Fridays
Salary: $174,100–$225,500 annual base salary for New York.
Company
is a public streaming technology company connecting viewers, content publishers, and advertisers through its TV streaming platform.
What you will do
- Integrate Salesforce with product roadmap tools to connect pipeline, forecasts, revenue outcomes, and product delivery.
- Automate data flows across Salesforce, Snowflake, and business intelligence platforms.
- Build real-time executive dashboards covering pipeline, forecasts, ARR, NRR, margins, operating costs, and headcount costs.
- Establish source-of-truth systems, metric definitions, data governance standards, and integration frameworks.
- Create scalable ETL/ELT processes and business intelligence data models for self-service analysis.
- Partner with finance, revenue operations, product, analytics, and business stakeholders.
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.
- Proficiency in SQL, data modeling, and ETL/ELT pipeline development.
- Experience building end-to-end automated reporting systems and integrating product management tools with financial data.
- Strong understanding of SaaS metrics including ARR, NRR, COGS, and contribution margin.
- Effective communication and stakeholder management across technical and non-technical audiences.
Nice to have
- Experience in ad tech, mar tech, or data platform businesses.
- Familiarity with cloud data architectures and API integrations.
- Knowledge of data governance and compliance for financial reporting.
Culture & Benefits
- Collaborative, fast-paced environment focused on practical problem-solving and delivery.
- Health insurance, equity awards, life and disability insurance, parental leave, wellness benefits, and paid time off.
- Global mental health and financial wellness support.
- Local benefits may include healthcare, commuter support, retirement options, and statutory leave.
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