ML Solutions Architect - EMEA

May 10

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Kumo.AI

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AI on the Modern Data Stack

Artificial Intelligence • Machine Learning • Modern Data Stack

11 - 50

💰 $18M Series B on 2022-09

Description

• Be a Kumo platform superuser - understand the product in and out and how it should be used to solve customer problems. • Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. • Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. • Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. • Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. • Lead architecture reviews and security assessments. • Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale. • Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger and larger number of internal workloads. • Provide market and customer feedback to the Product and Engineering team to refine feature specifications and the product roadmap. • Create broader processes for each customer to go through to ensure we can drive repeatable successes in PoCs. • Generate Kumo platform educational materials to disseminate amongst current users or prospects.

Requirements

• 5+ years of relevant professional experience working with external customers in deploying AI/ML/data science solutions in production for customers. • Proficiency with ML and data science fundamentals, at the level of a bachelors/graduate program. • Persuasive communication – ability to present, speak, demo well to customer stakeholders and convince them to partner with Kumo! • Self-starter, motivative, resourceful and persistent: demonstrated ability to structure complex problems, take the initiative, and identify creative solutions to deliver outcomes in the face of obstacles. • Knowledge of common data science tools around SQL-based data warehousing (eg. Snowflake, Databricks, DBT), BI tools (eg. Tableau, Looker), workflow orchestration, and ML Ops. • Excellent spoken and written English skills. • Fluency with scripting in Python. • Ability to work effectively across time zones. Teammates will be located from PT to CET time zones. Customers will be in GMT/CET, while occasionally as far as SGT.