About the Role
Uber's mission is to be the platform of choice for flexible earning opportunities.
GSS Tech at Uber is building marketplace and platform technologies that creates these truly global opportunities for knowledge work, e.g., data annotation, localization, testing, document processing, digitization of backend office work, maps data editing. Our marketplace connects underserved workers with external clients seeking top quality, cost-effective, and agile solutions for their knowledge work demand.
An essential part of our marketplace is to build tools and platforms that empower knowledge workers to perform data annotation effectively. As the Product Manager for our Data Annotation Platform, you will lead the charge in building a competitive, worker centric product that transforms the labeling experience and enables high-quality, human-labeled data for the next generation of AI applications. You'll own the product roadmap, collaborate closely with engineering, data science, program managers and UX teams, and stay tuned to market needs and advancements in ML/AI technologies. Your work will ensure our platform remains the gold standard in the industry, with features that drive productivity, data quality, and AI readiness.
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If you're excited about building products that impact millions of people around the world, are passionate about driving efficiency, and thrive in an entrepreneurial environment, we'd love to hear from you! Together, we'll push the boundaries of what's possible in AI through the power of human input.
What you'll do:
- Conduct market research to understand trends, customer needs, and competitive landscape. Define product differentiation and competitive positioning strategies.
- Own the product roadmap, definition, and execution for building advanced applications that powers experience of knowledge workers and clients
- Own your numbers, drive your cross-functional team of engineers, data scientists, product ops, and designers to set qualitative objectives and quantitative goals -- and overachieve them.
- Collaborate with Uber internal and external stakeholders, including clients, product managers, engineering, data science, and global operations teams to ensure that our products support this new line of Uber's business objectives globally, at scale.
What you'll need:
- Thinking from first principles: You don't assume things or take the status quo for granted. You base your solutions on data, product instinct, curiosity and a hypothesis + experimentation driven approach.
- Experience delivering highly successful and creative technology products/platform in marketplace space
- Technically Proficient: You have a visceral sense of how technology at large is evolving and how it impacts our customer's life. You have collaborated with engineers in developing the technical architecture of the products you have built.
- Thrive in an environment of fast feedback loops, constantly evolving customer preferences in a fast-moving industry with a mindset of rapid prototyping and iteration.
- Minimum 4 years PM experience, ideally with experience in AI/ML tooling, or related industry.
- Have a background in computer science or relevant technical discipline; MBA preferred, but not required for consideration
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.