Senior Product Manager

About Yupp

We are a well-funded, rapidly growing, early-stage AI startup headquartered in Silicon Valley that is building a two-sided product -- one side meant for global consumers and the other side for AI builders and researchers. We work on the cutting edge of AI across the stack. Check out our product that was launched recently, and how it solves the foundational challenge of robust and trustworthy AI model evaluations. Here's more information about us.

Why Join Yupp?

Are you ready to have the ride of a lifetime together with some of the smartest and most seasoned colleagues? You’ll work on challenging, large-scale problems at the cutting edge of AI to build novel products that touch millions of users globally, in a massive and growing market opportunity.

Yupp’s founding team is highly experienced and comes from companies like Twitter, Google, Coinbase, Microsoft and Paypal. This team is one of the smartest, most fun, cracked top talent you will ever work with. Our work culture provides a high degree of autonomy, ownership and impact. It’s intense and isn’t for everyone. But if you want to build the future of AI alongside others who are at the top of their game and expect the same from you, there’s no better AI startup to be.

At Yupp, you will experience both the excitement of building for a large scale global user base as well as for the deeply technical audience of AI model builders and researchers. You’ll get immersed in and learn all about the latest and greatest AI models and agents. You’ll interact with AI builders and researchers from other AI labs all around the world.

We are a mostly in-person startup, but we are also flexible – you can usually work from home when you need to and come in and leave when you want to. Many employees work from home on average 1 day a week.

Responsibilities

• Own all facets of our core product features from crafting the vision and strategy to executing

• Define and execute a roadmap for both consumer and AI builder product features, impacting millions of users as well as the development and improvement of AI models and agents.

• Size opportunities, analyze market trends, and identify the highest-impact real-world use cases for Yupp’s product features.

• Partner with design, engineering, AI and growth teams to deliver seamless, user-friendly consumer AI features that scale globally.

• Develop and execute consumer growth strategies, including referral programs, social growth loops, and network effects.

• Identify, evaluate, create and manage seamless processes to onboard new models on to Yupp, at speed and scale.

• Lead the design and refinement of benchmarking and real-world evaluation frameworks for AI models.

• Own how models are ranked, compared, and surfaced to users, ensuring transparency and trust.

• Identify and prioritize high-impact areas in the product where AI can improve user value, efficiency, and overall product performance.

Qualifications

• Experience: 10+ years in product management, with significant experience in AI/ML products, platforms, and models and significant experience as a PM on a high performing consumer or growth product team at a consumer tech company.

• Analytical Thinking and Strong Prioritization skills: Deep analytic, prioritization and problem solving skills. Comfort with product analytics and performance measurement; ability to design meaningful metrics for AI usage and quality.

• Execution: Proven track record of delivering technically complex, high-impact features from concept to launch. Ability to focus on scalable business outcomes.

• AI Understanding and Curiosity: Strong familiarity with LLMs, model APIs, evaluation methods, and the evolving AI ecosystem. A genuine drive to explore new AI models, tools, and techniques — and understand how they can create value for users in the long run.

• Communication: Exceptional interpersonal communication, Ability to clearly articulate complex technical concepts to diverse stakeholders.

Preferred Qualifications

• Experience working with multiple AI providers and incorporating their capabilities into product experiences.

• Knowledge of AI benchmarking frameworks, evaluations and model leaderboards.