What are the responsibilities and job description for the Sr Sales Ops Associate - GTM Analytics & AI Operations position at Uber?
About The Role
We are moving beyond "reporting." In the Ads Delivery Commercial Operations team, we don't just build dashboards; we build Data Products.
We are looking for a highly technical, AI-augmented builder to redefine how our multi-billion dollar sales organization operates. You will spend less time in spreadsheets and more time in IDEs, PRDs, and the CLI , building the internal infrastructure that tells 350 sellers exactly where they stand, what they need to do next, and to the ELT where the business is heading-all in under 5 minutes of interaction.
The Tech Stack (How We Work)
We operate like a startup within Uber. We value speed and leverage.
We are moving beyond "reporting." In the Ads Delivery Commercial Operations team, we don't just build dashboards; we build Data Products.
We are looking for a highly technical, AI-augmented builder to redefine how our multi-billion dollar sales organization operates. You will spend less time in spreadsheets and more time in IDEs, PRDs, and the CLI , building the internal infrastructure that tells 350 sellers exactly where they stand, what they need to do next, and to the ELT where the business is heading-all in under 5 minutes of interaction.
The Tech Stack (How We Work)
We operate like a startup within Uber. We value speed and leverage.
- AI-Native Workflow: We lean heavily on IDEs (Cursor/VS Code), Gemini, and GPTs to write code. We don't expect you to be a syntax expert; we expect you to be an AI-pilot who knows how to use these tools to 10x your output.
- The "AI-Assisted" Stack: Python, SQL, and Streamlit (for custom apps). We use Git for version control and MCPs (Model Context Protocol) to bridge our databases with AI agents for lightning-fast querying.
- The Philosophy: Brain Business Mindset > Manual Coding Skills. We care that you understand the logic of how a program should work; AI will help you write the actual lines of code.
- Build Custom Data Apps: Move beyond static BI tools. You will design, build, and deploy custom dashboard applications (Streamlit, Flask, etc.) that serve as the "Operating System" for our sales leaders.
- Engineer High-Fidelity Insights: Create "Product-First" reporting. Your apps must provide immediate clarity on:
- Current State: Where are we today?
- Actionable Intelligence: What 3 things does a manager need to do right now ?
- Future Outlook: Predictive forecasting for Books, Quotas, and P&L impact.
- Automate Everything: Use CLI tools and AI-generated Python scripts to automate manual data workflows. If a task is repeatable, it should be a script or an automated agent.
- Own the Infrastructure: Manage the Git workflows, service accounts, and deployment environments that keep our GTM engine running.
- Executive Strategy: Deliver deep-dives for the Executive Leadership Team (ELT) during MBRs, QBRs, and critical planning cycles
- Bachelor's Degree
- 3 years of relevant experience
- Strong SQL and Python skills, in addition to data modeling and general database understanding
- Power-user of AI tools. You might not be a career coder, but you aren't afraid of an IDE because you know AI can bridge the syntax gap.
- 4-6 years of relevant experience
- Ownership mentality - you run your work like a business
- Fast learner with a bias for action and a steep learning curve
- Salesforce experience is a plus (but not required)
- Python for data transformation, automation, and modeling
- Proactive and self-driven - you bring ideas, solutions, and automation opportunities
- Extremely analytical and structured thinking
- Comfortable working under pressure and handling occasional fire-drills
- Strong communication skills and comfort presenting to senior leadership
- Problem solver with curiosity and a builder mindset
- Embraces the 80/20 approach : optimize for speed and impact, not perfection
Salary : $131,000 - $145,500