Product Manager

Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.

We're hiring a Product Manager to drive specific product bets from idea to product-market fit.

This is a hands-on, ground-level role: you own an experiment, or a small set of them, get the product into real users' hands, and iterate toward PMF, working shoulder to shoulder with our ML, inference, and engineering teams to turn their energy into crisp, executable direction.

It is not a traditional SaaS PM role: the model and the product are inseparable, our core offering is customization & fine-tuning rather than prompt-only use, and real model depth is a prerequisite.

We need someone who:

• Direct, hands-on ML or applied LLM experience: you have built or trained models, you know the difference between prompting and fine-tuning in practice, and you know when an LFM is the right tool.

• A strong bias for action: you use AI and coding tools to prototype and test hypotheses yourself, so your insights are higher-signal than a PM who ran deep research once.

• Demonstrated ownership of product direction and prioritization, not just execution against a handed-down roadmap.

• The ability to turn an ambiguous idea into a concrete, buildable plan, with light support rather than heavy coaching.

• Enterprise product expertise: the focus and execution it takes to bring a new enterprise product to market and win in enterprise.

• Experience at an AI/ML company or on AI-powered products.

• Familiarity with edge or on-device inference, agentic harnesses, evals, or observability.

1. You own a bet end to end and take it from an ambiguous opportunity to a validated, or confidently killed, product direction backed by real user evidence.

2. The engineers you support move faster because your requirements are crisp and well-prioritized.

3. You have established a repeatable way to get products in front of users and turn their feedback into decisions.