About the job
About Liquid AI
Born from the innovative environment of MIT CSAIL, Liquid AI develops cutting-edge general-purpose AI systems that operate seamlessly across various deployment environments—from data center accelerators to on-device hardware. Our solutions prioritize low latency, minimal memory consumption, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome exceptional talent to our dynamic team.
The Opportunity
Join us in establishing the product function that will transform Liquid AI's technological advancements into scalable, repeatable solutions for enterprise clients. As a key member of our Product team, you will work closely with technical leaders to define, package, and launch AI solutions that meet market needs. This role requires daily collaboration with ML engineers, GTM leaders, and enterprise customers to understand the value of our technology and effectively deliver it. This position offers significant ownership, allowing you to treat your solution area like your own startup within our organization.
What We're Looking For
We are seeking an individual who embodies the following qualities:
- Customer Obsession: Prioritizes understanding customer needs through direct feedback rather than assumptions.
- Self-Direction: Takes initiative to dive deep into problems without prompting, and is comfortable navigating uncertainty to propose effective solutions.
- Technical Fluency: Engages confidently with ML engineers and researchers, understanding the complexities of deploying AI systems in real-world applications.
- Founder Mentality: Treats their solution area as a startup, owning outcomes across various functions, from technical architecture to go-to-market strategies.
The Work
- Oversee one or more go-to-market ready solutions from inception to scalable customer deployment.
- Analyze customer interactions to extract insights and identify productization opportunities.
- Collaborate with ML and inference teams to develop tools that streamline implementation.
- Define Ideal Customer Profiles (ICPs), pricing strategies, and packaging for scalable solutions.
- Partner with GTM teams to enhance outbound sales efforts around productized offerings.

