Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact. No hand-offs.
Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling as a native part of the product, not as a feature.
Understand our business, our customers, our market, and the data behind our consumer product to delight users and achieve Fever's goals.
Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate. Treat shipping as the way to think.
Build prototypes and production-ready experiences yourself when needed, leveraging AI coding tools and modern development workflows to compress the idea-to-product cycle.
Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance.
Collaborate with stakeholders across Design, Growth, and the Tech team, working side by side with a team of Software Engineers.
Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls under uncertainty.
Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship.

Bachelor's degree in Engineering, Computer Science, or a related field.
3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role).
Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos.
Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical.
Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team.
Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus.
Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth.
Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions.
Proficiency in English; able to communicate complex technical and product ideas clearly to any audience, in writing and in person.
High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment.

AI Product Builder

Key skills