Tubi→
Marketing AI Analytics Coordinator at Tubi in San Francisco, CA
Entry LevelHybridFull-timeSan Francisco, CA$50k–$50k/yr
Skills
pythonsqlautomationdata processinginternal toolingcloud toolingworkflow orchestrationmachine learninganalytics platformsbusiness curiosity
Job Description
Summary: Tubi is a free streaming service that entertains over 100 million monthly active users. They are seeking a Marketing AI Analytics Coordinator to develop tools and automate workflows that enhance analytics capabilities and support growth marketing initiatives.
Responsibilities:
- Build and improve internal tools, automations, and lightweight applications that support recurring analytical and operational workflows across Growth Marketing
- Write production-ready Python and SQL to power data workflows, self-serve tooling, and decision-support systems
- Develop systems that automate repeatable analytical tasks, reduce manual work, and improve speed and consistency across key growth playbooks
- Use AI and LLM-based tools where appropriate to support analytics, workflow automation, and stakeholder-facing solutions
- Partner closely with Marketing Data Science, Growth Marketing, and data engineering teams to identify high-leverage opportunities for automation and tool development
- Help design workflows that connect business questions to usable data, analysis, and recommendations more quickly
- Evaluate emerging tools and technical approaches that can improve the speed, quality, or scalability of analytics work
- Contribute to best practices for building reliable, maintainable tools in a fast-moving, data-driven environment
Required Qualifications:
- Up to three years of combined professional experience, including internships; recent graduates welcome
- Strong foundation in Python and comfort writing code for automation, data processing, or internal tooling
- Comfort with SQL, data manipulation, and thinking in terms of data flows
- Strong business curiosity — you want to understand why a stakeholder is asking a question, not just answer it
- Must have U.S. work authorization; we are unable to sponsor visas for this program
- Committed and available to work for the entire 18-month length of the program
Preferred Qualifications:
- Technical degree (CS, data science, statistics, engineering, math, or similar) preferred but not required
- Exposure to cloud tooling, workflow orchestration, or ML/analytics platforms is a plus
Required Skills: Python, SQL, Automation, Data Processing, Internal Tooling, Cloud Tooling, Workflow Orchestration, Machine Learning, Analytics Platforms, Business Curiosity
Benefits: Medical/dental/vision, Insurance, A 401(k) plan, Paid time off, Flexible Time off Policy, A generous Parental Leave Program, Monthly wellness reimbursement
Benefits
Medical/dental/vision
Insurance
A 401(k) plan
Paid time off
Flexible Time off Policy
A generous Parental Leave Program
Monthly wellness reimbursement