採用
Benefits & Perks
•Parental Leave
•Learning
•Equity
•Remote Work
•Healthcare
•Unlimited Pto
Required Skills
Python
TensorFlow
PyTorch
About the Role
As a Senior Product Manager-GenAI Performance, you will own the end-to-end development of a high-quality evaluation and quality-check platform for AI and LLM-driven applications. This platform will ensure the reliability, scalability, and accuracy of AI solutions across Uber's support and engagement of AI products.
In this role, you will collaborate with engineering, data science, LLM labeling operations, and senior executives to define and execute strategies that ensure AI systems meet the highest quality and performance standards. You will be instrumental in enabling automated, scalable, and explainable AI products.
What You'll do:
- Product Development: Lead the creation and evolution of a high-quality AI performance evaluation and quality check platform. Develop and simulate conversations to evaluate AI models against real-world conditions, identify performance gaps, and iterate to improve accuracy and customer experience.
- Product Ownership: Own the end-to-end product lifecycle by understanding customer pain points, defining product requirements, managing development and testing, and successfully launching scalable evaluation tools.
- Evaluation Frameworks: Design automated and human-centric evaluation frameworks that adhere to industry best practices, ensuring robust quality and reliability across AI systems.
- Cross-functional leadership: Collaborate with engineering, data science, and LLM labeling operations to build and refine AI evaluation tools, fostering strong team alignment.
- Strategic Execution: Partner with executive leaders to determine and execute the product strategy, ensuring alignment with overall business and AI objectives.
- Data-Driven Decisions: Use data insights to continuously refine evaluation frameworks, prioritize product features, and optimize AI performance by addressing risks such as hallucinations or inaccuracies.
- Executive Communication: Present clear and compelling updates on product progress, vision, and impact to senior leaders, securing buy-in and alignment across the organization.
What You'll need:
- Experience: Atleast 5+ years of product management experience, with some experience building enterprise/ SaaS products.
- Execution Ability: Demonstrated ability to lead cross-functional teams, prioritize complex roadmaps, and deliver impactful AI tools at scale.
- Data-Driven Approach: Proficient in analyzing AI performance data, leveraging insights to inform product improvements, and addressing quality gaps like hallucinations.
- Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degrees in AI/ML or related areas are a plus.
- Strong understanding of AI/ML technologies, including LLMs, fine-tuning, prompt engineering, dataset creation, regression testing, and performance metrics.
- Experience working closely with machine learning engineers and data scientists to iterate and refine AI models.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Associate Product Manager
0 reports
$153,422
total / year
Base
-
Stock
-
Bonus
-
$130,409
$176,435
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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