Kumo is a platform that provides foundation models specifically for relational enterprise data. Their core product, Kumo RFM, offers 20x faster predictions and up to 50% higher accuracy by leveraging…
Data WarehouseEnterprise DataFoundation ModelsGNNGraph LearningPredictive AIRDLRelational Datakumo.ai
Kumo
Kumo is a platform that provides foundation models specifically for relational enterprise data. Their core product, Kumo RFM, offers 20x faster predictions and up to 50% higher accuracy by leveraging…
Data WarehouseEnterprise DataFoundation ModelsGNNGraph LearningPredictive AIRDLRelational Datakumo.ai
HQMountain View, US
Team Size78
Open JobsUnknown
Total Funding$37M
Latest Fundraise4 years ago
TL;DR
Core product: KumoRFM — a relational foundation model using Graph Neural Networks for predictions on relational data
Value props: Zero/few-shot predictions without manual feature engineering; integrates with major data warehouses
Founded: 2021
Notable backer: Sequoia Capital (led Series B, Sept 2022)
Company Overview
Problem Domain
Predictive machine learning on relational/warehouse data; eliminating feature engineering and complex ML pipelines for enterprise use cases.
Founded
2021
Industry
Data and Analytics
Tech Stack
Integrations with Snowflake
Integrations with BigQuery
Integrations with Databricks
Integrations with AWS Athena
REST API
SDKs
Funding Track Record
Series B- 2022-09-27
$18,000,000
Reported Series B announced Sept 27, 2022; participation from A.Capital and SV Angel and multiple angel investors.
Investor Signal
“Backed by Sequoia Capital and participants including A.Capital and SV Angel; company has angel and strategic investors”
Founders
What we do
Join the Team
AI Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
Who you are
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
1+ years in ML/AI product development or software engineering (startup or fast-paced product teams)
Hands-on with embeddings, vector databases, and RAG; practical experience evaluating retrieval quality
Strong background in deep learning/transformers/foundation models and LLM orchestration (tool use, planning, memory)
Experience with relational data & SQL; structured reasoning on business datasets
Proficiency in Python and familiarity with data wrangling (Pandas, NumPy)
Strong product sense and collaboration skills—comfortable working with PMs/design and iterating with users
Experience as a Founding Engineer or early builder at a startup/innovation pod
Experience with LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic APIs, and multi-agent coordination libraries
Track record building full-stack features (you can dip into frontend/backend/data/infra as needed)
Experience integrating agents with enterprise systems and APIs; designing foundation APIs for tools
Background in knowledge graphs, GNNs, causal inference, or structured reasoning with LLMs
MLOps and cloud (AWS/GCP), model/agent serving, prompt/runtime observability, and eval pipelines
Familiarity with guardrails, safety, and governance for enterprise AI
What the job involves
Benefits
Gold Plan Health Insurance
Flexible Spending Accounts for Health and Dependent Care
Fully remote and hybrid work as an option
Dental & Vision Coverage
Unlimited discretionary time off
South Bay office, 0.4 miles from Mountain View Caltrain stop
401k Plans
Full-week shutdown at end-of-year
Family Leave
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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 hiring an AI/ML Engineer to design and build AI-powered, user-facing products on top of our RFM
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
Design, implement, and deploy AI agents that assist data scientists on relational/SQL data and recommend next-best actions
Build user-centric APIs and product surfaces (web/UI or programmatic) that make agentic workflows feel seamless and reliable
Integrate Kumo’s Relational Foundation Model with enterprise data systems; contribute to tooling, retrieval, and guardrails
