Tecton
The feature platform for machine learning, from the creators of Uber Michelangelo.
Machine Learning • Data Science • Feature Store • Data Engineering • Artificial Intelligence
11 - 50
Technical Account Manager
6 days ago
🏡 Remote – Anywhere in California
Tecton
The feature platform for machine learning, from the creators of Uber Michelangelo.
Machine Learning • Data Science • Feature Store • Data Engineering • Artificial Intelligence
11 - 50
Description
• Actively serve global accounts including some of the world’s leading organizations in financial services, insurance, media, e-commerce, and technology. • Drive value for customers by helping them achieve their business and technical outcomes. • Gain an understanding of customer’s use cases and machine learning goals to ensure Tecton is strategically aligned to their desired business outcomes. • Serve as the voice of the customer within Tecton • Build strong relationships with customer stakeholders and become a trusted advisor within assigned accounts • Joint planning and prioritization with the customer of all ML-based business initiatives • Regular communication of account status and issues to Tecton leadership • Learn Tecton and provide a basic level of training and best practices • Assess additional customer education needs and coordinate delivery of enablement • Identify product blockers to expansion or product offerings that would unlock new use cases • Support customers with new product capability enablement • Understand and prioritize feature requests based on customer needs and facilitate design meetings with the customer and product team • Shadow initial implementation for strategic accounts to ensure a smooth transition with the Professional Services team
Requirements
• 5+ years of proven experience as a Technical Account Manager or similar customer facing role, preferred in the data and ML domain. • Strong track record of managing a portfolio of customers to drive product adoption. • The ideal candidate has technical acumen and hands-on knowledge of data engineering, Machine learning, and the major cloud platforms (AWS, GCP, Azure) • Understanding of the current ML landscape (applications, tools, new research) • General knowledge of Python, SQL, enterprise software, and cloud data architectures
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