Build the ML and backend systems that make the growth real and durable, going deep on the hardest problems yourself.
Own your vertical end to end: set the direction, find where the growth is, and drive the business metrics that matter, such as revenue, customers, and market reach.
Move fast and decisively in ambiguity, making the strategic and technical calls that decide whether the business wins.
Be a trusted technical partner in the most important customer relationships, using them to grow the account and shape what you build next.
Build the team and raise the bar so the business can keep scaling.
Basic Qualifications
Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, Mathematics, or a related discipline.
7+ years building and shipping products powered by ML, with a history of owning both the technology and the business results for a significant product area.
Proven track record of growing a business, not just running it: you have driven significant, measurable business growth such as revenue, adoption, or market expansion.
Deep expertise in both machine learning systems and backend distributed systems, with the ability to build production systems that scale as the business grows.
A track record of finding the highest leverage opportunities in an ambiguous space and driving them to real business impact.
Exceptional communication and leadership skills, with the ability to align customers, product, and business leadership around a growth agenda.
Preferred Qualifications
You have taken a product or business line from early stage to meaningful scale, ideally in a startup or startup like environment, owning revenue and growth throughout.
Experience as the owner of an applied AI product domain, such as real world data, agentic environments, evaluation, or multimodal and multilingual ML, where you drove significant business outcomes.
Expertise in GenAI and LLM systems at production scale, spanning architecture, evaluation, safety, and responsible deployment.
Depth in a domain central to UAIS such as physical world and physical AI data, agentic RL environments and evaluation, multilingual and audio, or robotics and egocentric data, and a track record of owning strategic customer relationships.
For San Francisco, CA-based roles: The base salary range for this role is USD $267,000 per year - USD $297,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
