Software Engineer, Kumo
Full Stack
Office located in Mountain View, CA
Predictive AI platform
Open for applications
Predictive AI platform
21-100 employees
Open for applications
Office located in Mountain View, CA
21-100 employees
Company mission
To unleash the full potential of enterprise data by bringing the most powerful graph learning approaches, proven in the research world, to all enterprise data.
Role
Who you are
- BS (preferred MS, Ph.D.) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- Experience designing backend APIs, database schemas, and backend microservices to power a sophisticated user-facing product
- Experience writing clean JavaScript code including experience with modern frameworks (React) and debugging tools (Chrome Dev Tools, etc.)
- Knowledge of (and a passion for) current trends and best practices in full-stack architecture, including performance, accessibility, security, and usability
- Experience with Test Driven Development
- 3+ years of industry experience
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
Desirable
- Past experience with launching SaaS products or working in Enterprise companies
- Working knowledge of OAuth, identity and access management
- Be highly data-driven, knowing how to acquire, comprehend, and effectively utilize data for making optimal decisions
- Have 5+ years of relevant experience as a SWE
- Effective communication with the leadership and the rest of the team
- Basic understanding of machine learning and AI
What the job involves
- Join the dynamic team at Kumo Experiences and play a pivotal role for launching new product features to deliver a world class experience for performing machine learning over relational databases
- You will be part of the team reinventing how to interface with complex AI backends and set the foundation for how we build robust, scalable, and delightful experiences on the cloud. You will work closely with the product team to define requirements, build high-quality software design, code and unit and integration tests
- As a Software Engineer at Kumo.AI, you will be responsible for shaping the development and success of our product, which is focused on enabling users across the enterprise, regardless of Machine Learning (ML) background, to build and deploy predictions in production
- You'll be closely working with leadership and be responsible for defining customer user journeys, driving the product roadmap, collaborating with cross-functional teams, and ensuring the timely delivery of major features and solutions that meet customer needs on a per-release basis
- You will be responsible for designing clean and elegant frameworks to help solve large scale problems, writing high quality code and tests and performing code reviews
Our take
California-based Kumo offers an AI-powered platform to help businesses tackle predictive problems, with a specific focus on graph neural networks. Founded by several AI executives from companies including Pinterest, Airbnb and LinkedIn, the company certainly has strong foundations to build on.
Kumo can be used for lots of different use cases, including new customer acquisition, customer retention, personalization, abuse detection and financial crime detection. The company has attracted considerable interest from enterprises, largely because these companies spend millions of dollars storing data, and yet are unable to effectively leverage most of it due to the time, effort, and skill required.
Having brought in series B funding in 2022, the company is moving to bring its AI technology to more companies, whilst investing in R&D efforts to expand its platform and services. Lately, developments have included the announcement that Kumo can now run deep learning directly in the Data Cloud with Snowpark Container Services (eliminating data exfiltration and security concerns), as well as the ability to deploy Kumo on Databricks' new Lakehouse Apps without ever leaving the ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Insights
31% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2022
$18m
SERIES B
Apr 2022
$18.5m
SERIES A
Total funding: $36.5m
Company 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
Company values
- Customer-Centric - We have seen firsthand the incredible effort to implement a single, production-quality predictive model. With Kumo, the team aims to solve this problem and make graph learning easy to use, so any business (and person and user) can leverage the power of graph-based AI in minutes
- Optimistic About Innovation - We are optimistic by nature, and in particular about the massive potential of AI and graph learning. The possibility and promise of GNNs, rendered easy and usable for any enterprise to use, motivates our work
- Better Together - We believe enterprise data is inherently highly connected, and that insight about connectedness powers our AI tech. We also believe that the best teams are highly connected. We are all nodes in the network; we are better together
Company HQ
Old Mountain View, Mountain View, CA
Articles
Leadership
Vanja Josifovski
(CEO)Previously served as CTO for Airbnb and Pinterest. Experience as Technical Lead for Google.
Hema Raghavan
(Head of Engineering)Previously served as Senior Director of Engineering for LinkedIn and as a Scientist for Yahoo!
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