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Enterprise Customer Success Manager - AI

Dataloop AI

Dataloop AI

Software Engineering, Customer Service, Sales & Business Development, Data Science
Israel
Posted on Oct 13, 2024

Enterprise Customer Success Manager - AI

  • Dataloop Israel

Description

About Dataloop:

Dataloop AI is on a mission to build an all-in-one platform for AI/GenAI lifecycle management. Specializing in unstructured data, Dataloop’s platform enables advanced data management and querying of files, annotation tools for almost any type of data, MLOps tools, and data pipelines to orchestrate it all for development and production needs.

With its one-of-a-kind ML applications marketplace, companies of every size can easily deploy AI/GenAI solutions to production.

About the role:

We are seeking a Customer Success Manager to manage strategic relationships with enterprise customers. In this role, you will be responsible for ensuring customer satisfaction and delivering value as a trusted technical and business advisor. You’ll work closely with various stakeholders, including AI leadership, data scientists, software developers, and data engineers, guiding them in leveraging Dataloop’s platform to achieve their AI/GenAI goals and promoting self-sufficiency.

You will engage with clients at different stages of their AI journey—some highly experienced, others just starting out—adapting your approach to fit their unique needs, KPIs, and business goals. Your deep understanding of the AI development lifecycle, combined with the ability to communicate fluently with technical teams, will be key to driving success across diverse industries and use cases. Additionally, you will play a crucial role in customer enablement, delivering personalized training sessions and scalable webinars to ensure clients maximize the value of our platform.

Key Responsibilities:

  • Client Relationship Management: Build, maintain, and own long-term relationships with enterprise clients by being a good listener, understanding their needs, and ensuring success through all customer lifecycle stages. Guarantee customer satisfaction and consistently deliver measurable value.
  • Trusted Advisor: Act as both a technical and business consultant to clients, offering strategic guidance throughout their AI/GenAI journey and helping them unlock the platform’s full potential.
  • Tailored Solutions: Recognize that each client is unique. Tailor your approach based on individual business goals, AI/GenAI expertise, and KPIs. Engage closely with personas ranging from experienced data scientists to novice AI managers, driving value for all.
  • Cross-functional Collaboration: Partner with Sales, Product, and Engineering teams to address customer challenges, ensure smooth post-sale implementation, and facilitate continuous success. Provide product feedback to enhance future offerings.
  • Enablement & Self-sufficiency: Lead training sessions and webinars to empower clients to maximize the platform’s capabilities and develop their independence in managing AI/GenAI projects.
  • Proactive Account Management: Anticipate and address potential risks and opportunities, ensuring high levels of satisfaction and identifying opportunities for growth through renewals and expansions.

Requirements

  • Minimum 4 years of customer-facing experience working with enterprise clients in AI, SaaS, or technical environments.
  • Proven ability to engage with technical stakeholders (AI managers, data scientists, developers), understand their day-to-day challenges and tools, and drive business outcomes.
  • Strong track record in customer success, renewals, and expansions.
  • A proactive, solution-oriented mindset with a charismatic, can-do attitude.
  • Passion for learning new technologies and becoming an expert in your domain; Curiosity and self-learning capability are key to success.

Preferred Qualifications:

  • Proficiency with developer tools and SDK/APIs.
  • Experience with programming languages such as Python and JavaScript.
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.