Full-Time
Software Engineer
Infrastructure
Posted on 8/19/2025
Kumo
51-200 employees
Graph neural networks for predictive modeling
Compensation Overview
$145k - $250k/yr
Mountain View, CA, USA
Hybrid
 Software Engineering (1) |
|---|
- BS in Computer Science (or closely related field)
- 3-5+ years of software development experience
- Deep understanding of distributed systems design principles
- Proficiency in Python, Java or C++
- Design and implement the core architecture of our distributed training and inference systems that can handle enterprise-scale data
- Craft elegant integration points between data warehouses, AI processing engines, and our proprietary Graph transformer technology
- Build sophisticated orchestration systems that optimize computational resources while ensuring reliability and restartability
- Develop clean APIs and abstractions that decouple system components for rapid parallel development
- Create scalable, cloud-native infrastructure that grows with our customers' needs while maintaining performance
- Collaborate directly with customers to refine and iterate on real-world deployments
- MS or PhD in Computer Science or a closely related field (preferred)
- Experience with cloud distributed storage, databases, and file systems (AWS, Azure)
- Track record building and scaling microservices architectures
- Knowledge of AI frameworks like PyTorch or TensorFlow, especially inference serving at scale
- Contributions to open-source projects in distributed systems or data processing
- Understanding of machine learning fundamentals, especially in enterprise applications
- Experience designing systems that elegantly handle failure modes and restarts
- Hands-on experience with at least one major cloud (AWS / Azure / GCP) and Kubernetes at scale; multi-cloud exposure is a plus
Kumo.ai builds and deploys predictive models for mission-critical needs like customer retention, forecasting, anomaly detection, fraud, and anti-money laundering using Graph Neural Networks. It learns directly from raw relational data, removing the need for manual feature engineering, and runs all major ML steps in one end-to-end platform. The platform reduces infrastructure requirements by eliminating separate feature pipelines and stores, and offers flexible deployment as SaaS or Private Cloud with strong compliance. Its goal is to deliver fast return on investment across a broad set of use cases for large enterprises, trusted by leading organizations.
Company Size
51-200
Company Stage
Series B
Total Funding
$36.5M
Headquarters
Mountain View, California
Founded
2021
Simplify's Take
What believers are saying
- Databricks achieved 6x lead conversion improvement using Kumo for lead scoring.
- Sequoia Capital backing and founders from Airbnb, Pinterest enable rapid scaling.
- Snowflake Native App launched June 2024 accelerates data scientist model building.
What critics are saying
- Open-source PyTorch Geometric enables Meta to replicate KumoRFM-2 in 12 months.
- Snowflake acquires competing predictive AI, cutting Kumo Marketplace revenue in 18 months.
- Customer concentration in Databricks and DoorDash loses 50% pilots in downturn by 2027.
What makes Kumo unique
- KumoRFM-2 uses Relational Graph Transformers to preserve multi-table relationships without flattening.
- KumoRFM-2 outperforms supervised ML by 5% on Stanford RelBenchV1 with zero training.
- KumoRFM-2 scales to 500 billion rows at 5 GB/sec, connecting to Snowflake and Databricks.
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Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -2%2 year growth
↑ 2%Kumo has launched KumoRFM-2, a foundation model that outperforms traditional machine learning on enterprise relational data, scaling to 500 billion rows. The model achieved state-of-the-art results across 41 predictive tasks and four major benchmarks without requiring feature engineering or task-specific training. Built on a new Relational Graph Transformer architecture, KumoRFM-2 preserves relationships across multiple database tables rather than flattening them. It processes data at 5 GB per second with 20 million lookups per second and allows users to query predictions in natural language. On Stanford RelBenchV1, it outperformed its predecessor by 10% and supervised machine learning models by 5%. Founded by the team behind PyTorch Geometric, Kumo is backed by Sequoia Capital and deployed at DoorDash, Snowflake, Databricks, Reddit and Coinbase.
Inc. names kumo Co-Founder, Dr. Hema Raghavan, to its 2026 Female Founders 500 list. Mar 12, 2026, 16:19 ET Inc.'s annual Female Founders list celebrates the nation's most innovative women entrepreneurs, who collectively generated approximately $12.3 billion in 2025 MOUNTAIN VIEW, Calif., March 12, 2026 /PRNewswire/ - Kumo is proud to announce that Dr. Hema Raghavan, Co-Founder and Head of Engineering, has been named to Inc.'s 2026 Female Founders 500, an annual list honoring the most dynamic women business leaders in the United States. The honor recognizes founders whose bold ideas, resilience, and execution are shaping the future of their industries. Each year, Inc. editors evaluate applications through a rigorous, multi-round selection process. Founders are assessed on both quantitative performance metrics, including revenue growth, funding, sales, and audience size, as well as qualitative factors such as innovation, social impact, and brand momentum. Previous honorees have included such game-changing leaders as Billie Jean King, Sallie Krawcheck, Serena Williams, and Emma Grede, all of whom have transformed their industries and broken barriers along the way. This year, the list was judged by fellow women in leadership positions, including the co-founders and CEOs of New American Funding and Care.com, among others. "Being named to this list is deeply meaningful to me, not just as a founder, but as a woman in deep tech and as a role model to my children," said Dr. Hema Raghavan, Co-Founder and Head of Engineering at Kumo. "When I co-founded Kumo, I knew we were working on a hard problem, one that the industry had largely written off as unsolvable. This recognition is a reminder that there is space for women to lead at the frontier of technical innovation, and I hope it encourages others to keep building." Dr. Raghavan co-founded Kumo in 2021 after identifying a fundamental gap in enterprise AI: every company sits on years of relational data, customers, transactions, behaviors, yet extracting predictive insight from it still required months of manual work by specialized teams. Drawing on her decade of experience leading AI at LinkedIn, where she built the systems behind People You May Know and helped scale the platform from 400 million to 700 million users, she set out to change that. The result is KumoRFM, the first foundation model built specifically for structured enterprise data, enabling zero-shot predictions directly from a data warehouse with no task-specific training required. The technical breakthrough was considered counterintuitive. Prevailing wisdom held that structured data lacked the sequential patterns necessary for transformer architectures. Dr. Raghavan and her team demonstrated otherwise, and the results speak for themselves. Kumo's platform now operates in production at over 20 enterprises, including DoorDash, Reddit, Snowflake, and Databricks, generating predictions for more than one billion users globally. Customers have seen 142% more accurate fraud detection, 5.4x conversion rate improvements, and over $100 million in revenue impact, with model development that is 20x faster than traditional approaches. Kumo has raised $37 million in funding led by Sequoia Capital. "Each year, we are increasingly amazed by the extraordinary leaders on our Inc. Female Founders 500 list," says Bonny Ghosh, editorial director at Inc. "The honorees on this year's list include innovators in AI, beauty and wellness trendsetters winning devoted fans, and nonprofit leaders making a real impact in their communities. Together, they're showing all of us what trailblazing female leadership looks like." Several honorees will be featured in Inc. magazine's Spring print issue, on newsstands March 17, 2026. To see the complete list of honorees, please visit: https://www.inc.com/female-founders/2026. About Inc. Inc. is the leading media brand and playbook for the entrepreneurs and business leaders shaping our future. Through its journalism, Inc. aims to inform, educate, and elevate the profile of its community: the risk-takers, the innovators, and the ultra-driven go-getters who are creating the future of business. Inc. is published by Mansueto Ventures LLC, along with fellow leading business publication Fast Company. For more information, visit www.inc.com. About Kumo Kumo gives companies the ability to extract real value from their business data - transactions, customers, inventory - that sits in the data warehouse but is often constrained by outdated AI techniques and complex feature engineering. Kumo's platform uses Relational Graph Transformers to work directly on relational data, enabling teams to train accurate predictive and embedding models up to 20x faster with no feature engineering. Teams can also use the Kumo Foundational Model for instant predictions and real-time decisioning. Kumo was founded by three PhDs who held executive leadership and academic roles at Pinterest, Airbnb, LinkedIn, and Stanford. The company has raised $37 million and is backed by Sequoia Capital. Kumo makes relational data directly usable for high-quality predictive and generative AI, helping businesses of all sizes apply advanced AI more easily. To learn more, visit kumo.ai. SOURCE Kumo.AI
Kumo wins 2026 Tech Innovation CUBEd award for Most Innovative AI-Powered Data Platform. February 24, 2026 Kumo.ai, Inc. is proud to share that KumoRFM has been named a winner of SiliconANGLE Media's 2026 Tech Innovation CUBEd Awards in the Most Innovative AI-Powered Data Platform category. The Tech Innovation CUBEd Awards recognize breakthrough technologies that push the boundaries of enterprise innovation and deliver measurable real world impact. KumoRFM was selected for its ability to help organizations turn relational data into production ready machine learning models quickly and reliably, enabling teams to deploy AI that directly improves business outcomes. Last year, Kumo.ai, Inc. introduced KumoRFM, the world's first Relational Foundation Model designed to bring foundation model capabilities to the structured relational data inside the modern data warehouse. While large language models have reshaped how businesses work with text, its focus has been on the operational backbone of every organization, including customers, transactions, products, inventory, and the relationships between them. Built on Relational Graph Transformers, KumoRFM allows teams to connect their warehouse and instantly generate predictions such as churn, fraud, engagement, or revenue outcomes. It removes the need for task specific training and months of feature engineering, delivering results in seconds with accuracy that matches or surpasses traditional approaches. With KumoRFM, organizations can achieve up to 20 times faster time to value. "This award reflects the impact our customers are already seeing," said Vanja Josifovski, CEO of Kumo. "Our goal is to help organizations unlock the predictive power already present in their relational data and move from raw data to production AI much faster." The Tech Innovation CUBEd Awards are judged by industry analysts, technologists and practitioners who evaluate entries based on innovation, differentiation and measurable results. Kumo.ai, Inc. is honored to be recognized alongside other innovators shaping the future of data and AI. Join its community on Discord. Connect with developers and data professionals, share ideas, get support, and stay informed about product updates, events, and best practices.
Kumo wins Fast Company's Next Big Things in Tech award for advancing AI on enterprise data. Fast Company's list celebrates innovations making a difference in the way First Talk work and live. MOUNTAIN VIEW, Calif., Oct. 16, 2025 /PRNewswire/ - Kumo, a leader in predictive AI, today announced that it has been named on Fast Company's fifth annual Next Big Things in Tech list. Kumo joins a distinguished group of 137 honorees across 31 categories, including companies such as Google, GitHub, and Snap. Kumo was recognized in the Foundational AI category, which celebrates organizations advancing the core technologies that power the next generation of intelligent systems. This recognition highlights Kumo's accomplishment in bringing relational databases into the age of AI. Before Kumo, generating predictions from relational data, the backbone of business operations like customer records and transactions, relied on machine learning methods dating back decades. With KumoRFM, the first foundation model built for relational data, users can connect their enterprise databases and instantly generate predictions on key outcomes such as fraud detection or customer churn. The model delivers results in seconds, offering up to 20x faster time to value and 30 - 50% higher accuracy than traditional approaches. "We are honored to be recognized by Fast Company for being one of the most significant players in foundational AI," says Dr. Vanja Josifovski, CEO and Founder of Kumo. "We've been proud to work with leading organizations like Databricks, Snowflake, Reddit, and DoorDash - proof that enterprises across the board stand to gain from the value within their relational data." "Next Big Things in Tech is both a snapshot of the most interesting tech of the moment and a crystal ball that predicts the next several years," says Brendan Vaughan, editor-in-chief of Fast Company. "We're excited to share this list with our readers, and we congratulate the winners for their vision and innovation." Kumo, which has raised $37 million, was co-founded by Dr. Vanja Josifovski, Dr. Jure Leskovec, and Dr. Hema Raghavan, who have dedicated their careers to unlocking the value within enterprise data with AI. Each served in top leadership roles at LinkedIn, Pinterest, and Airbnb, where they helped shape the AI systems that power some of the world's most influential platforms. That same caliber of leadership and innovation now drives Kumo - a clear standout on Fast Company's Next Big Things in Tech list. For more information or to view the complete list of honorees, visit here. Follow Kumo LinkedIn: https://www.linkedin.com/company/kumo-ai/ X (formerly Twitter): https://twitter.com/Kumo_ai_team Kumo Research: https://kumo.ai/research/ About Kumo Kumo transforms how businesses create predictions from their data warehouse, using AI to quickly build high-performing machine learning models that help data scientists better predict user and customer behaviors with best-in-class accuracy. The company was founded by three PhDs who have held executive leadership and academic positions at Pinterest, Airbnb, LinkedIn, and Stanford. Kumo has raised $37 million in funding and is backed by Sequoia Capital. Kumo is reshaping the future of applications, making predictive AI accessible and practical for companies of all sizes. To learn more, visit kumo.ai. About Fast Company Fast Company is the only media brand fully dedicated to the vital intersection of business, innovation, and design, engaging the most influential leaders, companies, and thinkers on the future of business. The editor-in-chief is Brendan Vaughan. Headquartered in New York City, Fast Company is published by Mansueto Ventures LLC, along with its sister publication, Inc., and can be found online at fastcompany.com. SOURCE Kumo.AI This release is auto-published via PR Newswire; its journal is not responsible for the content.
Kumo AI, a Silicon Valley startup, has launched a new foundation model tailored exclusively for making predictive analytics in enterprise settings.