Responsibilities

• Act as a technical liaison for Kumo’s customers and prospects in the UK region.
• Discover customers' technical needs and demonstrate how Kumo can address them.
• Collaborate with customers and Account Managers to devise solutions for machine learning problems.
• Utilize industry knowledge and data science expertise to assist customers in crafting solution architecture and machine learning approaches.
• Maintain relationships with technical champions to ensure the success of existing models and expansion to new use cases.
• Conduct product demos across various verticals, including finance, marketing, personalization, and forecasting.
• Guide customers to achieve meaningful wins on high-impact ML problems.
• Assist customers in overcoming challenges related to model performance and integration into production systems.
• Lead architecture reviews and security assessments.
• Educate current Kumo users on best practices to increase product usage.
• Provide market and customer feedback to refine product specifications and roadmap.
• Create processes to ensure repeatable successes in Proof of Concepts (PoCs).
• Generate educational materials for current users and prospects.

Qualifications

• 5+ years of relevant professional experience in deploying AI/ML/data science solutions in production.
• Proficiency in ML and data science fundamentals at the bachelor’s or graduate level.
• Strong persuasive communication skills for presentations and demos to customer stakeholders.
• Self-starter with the ability to structure complex problems and identify creative solutions.
• Knowledge of data science tools, including SQL-based data warehousing (e.g., Snowflake, Databricks, DBT), BI tools (e.g., Tableau, Looker), and ML Ops.
• Excellent spoken and written English skills.
• Fluency in Python scripting.
• Ability to work effectively across time zones (PT to CET).

Benefits

• Stock options
• Competitive salaries
• Medical insurance
• Dental insurance

Kumo is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.