Forward Deployed Data Scientist, Kumo
Mountain View, CA
Predictive AI platform
Job no longer available
Predictive AI platform
21-100 employees
Job no longer available
Mountain View, CA
21-100 employees
Company mission
To help data teams solve the world's toughest problems.
Role
Who you are
- 5+ years of relevant professional experience working with external customers in deploying new AI/ML PoCs into production for customers
- Where you were working in a consulting, forward-deployed engineer, customer solution where the AI/ML tools used are horizontal platforms
- Hands-on troubleshooting experience helping customers resolve issues and working with engineering to test and deploy fixes to customers
- Knowledge of common analyst tools such as SQL-based Data Warehouses, DBT, BI tools such as Tableau, Looker
- Familiarity with key predictive ML, ML Ops, etc. concepts, ideally from formal bachelors/graduate training
- Self-starter, motivative who can demonstrate the ability to structure complex problems, develop solutions for external clients
- Persuasive communication–ability to present, speak, and demo well to customer stakeholders and convince them to partner with Kumo!
- Experience with SaaS product development for enterprise customers
What the job involves
- Educate current Kumo analyst users on how to successfully use our product, best practices, etc. so that they increase usage across a larger number of internal workloads
- Be a Kumo platform superuser - understand the product’s ins & out to solve customer problems
- Generate Kumo platform educational materials for users and customers
- Partner closely with our ML team to help drive customer success during the full customer lifecycle
- Coach customers on how to maximize Kumo for their specific use cases with datasets. Helping customers with their business needs and internally collaborating with sales, engineering, and product team in the end-to-end process from ingesting their first datasets to successful POC contract signing
- Create broader processes for each customer to go through to ensure we can drive repeatable successes for each contract
- Develop methodologies to be shared with customers to help them understand the value delivered by Kumo to their organizations and explain this value to their internal stakeholders
- Partner with our product and engineering team to relay and reconcile customer feedback, including uncovering causes of data and model accuracy issues, debugging backend issues, surfacing feature gaps, etc
- Increase awareness/interest of our Kumo platform amongst analyst-focused external communities/ecosystems, and drive our bottoms up adoption which may include content generation/demos/webinars/following up with users questions etc
Our take
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' Lakehouse Apps without ever leaving the ecosystem.
Steph
Company Specialist at Welcome to the Jungle
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 HQ
Old Mountain View, Mountain View, CA
Leadership
Vanja Josifovski
(CEO & Co-Founder)Previously served as the CTO for Airbnb and Pinterest. Also worked as a Technical lead at Google.
Hema Raghavan
(Co-Founder)Previously served as a Senior Director of Engineering for LinkedIn and as a Scientist for Yahoo!
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