Why this role (and why now)
With the launch of our new Kumo Relational Foundation Model (RFM), we’ve seen unprecedented interest from builders who want to create on top of our platform. This is your chance to be part of that momentum. You’ll be building applications and agentic workflows, demoing them to customers, and making core product and engineering decisions that shape the growth of our RFM offering.
This is an engineering role at its core, but you’ll also interface directly with customers, the broader builder community, and cross-functional engineering teams. We’re looking for someone who thrives in that hybrid space—shipping product, representing engineering externally, and helping shape the direction of Kumo RFM from the ground up.
We’re looking for someone who’s:
• Comfortable in an innovation pod or startup environment, moving quickly from idea → prototype → ship.
• A tinkerer at heart who’s built full‑stack apps (frontend, backend, data) and lately has been hands‑on with the LLM tooling ecosystem.
• Collaborative and easy to work with—you know how to partner with PMs/design/ML, bounce ideas, and get things done together.
Bonus: experience as a Founding Engineer or early builder who has shaped product direction from the ground up.
Kumo.ai is redefining enterprise AI with foundation models for relational data, enabling organizations to predict, optimize, and act with speed and confidence. Our agentic systems collaborate with data teams, turning complex business tables and SQL workflows into interpretable, actionable, and automated insights.
The Role
We’re hiring an AI/ML Engineer to design and build AI-powered, user-facing products on top of our RFM. You’ll ship features that:
• Understand a user’s goal and autonomously propose workflows for analysis, prediction, and optimization.
Interact with enterprise systems and APIs, orchestrating tools and data.
• Produce interpretable outputs that are easy to trust in real-world decisions.
• Demo prototypes and apps to customers, iterating on feedback and incorporating real use cases.
You’ll work across product surfaces (UI/API), agent orchestration, data/infra, and model integration, collaborating tightly with product, design, ML research, and customers.
