Our award-winning client is seeking a Technical Account Manager to join their team.Our client is the leading MLOps platform, helping data science and machine learning teams manage models across the entire lifecycle. We're backed by over $63 million in funding and trusted by companies like Uber and Zappos. In this role, you'll be a superstar TAM, guiding our largest enterprise customers to success with Comet.

Responsibilities:

• Be the champion for enterprise customers, ensuring they achieve their desired outcomes with Comet.

• Deeply understand customer needs and use cases, aligning Comet with their strategic goals.

• Proactively manage deployments and rollouts for customer data science teams.

• Identify growth potential within your customer portfolio and advise your team and customers accordingly.

• Conduct regular health checks to identify and mitigate risk, ensuring customer satisfaction.

• Collaborate across departments (Customer Engineering, Sales, Product) to drive customer adoption, value, and retention.

• Continuously improve internal processes and increase efficiency for the customer success organization.

Required Qualifications:

• 4+ years of experience working with data science, machine learning, or data management customers.

• 4+ years of managing customer portfolios in a customer success, technical consulting, or related role.

• Solid understanding of the ML and MLOps landscape (tools, applications, trends).

• A passion for exceeding customer expectations.

• Strong communication, presentation, and listening skills.

• Experience building relationships with senior decision-makers in engineering.

• Proven ability to prioritize and thrive in a fast-paced environment.

Bonus Points for:

• Basic knowledge of Python and major cloud providers (AWS, Azure, GCP).

• Experience deploying and maintaining software on customer infrastructure.