As a Technical Account Manager at Comet, you will be responsible for guiding our largest Enterprise customers to accelerate their adoption of the Comet platform, ensuring customers receive the value they anticipated.

The Technical Account Manager proactively works with a broad set of customer stakeholders to illustrate the value delivered through Comet’s software and services. The TAM also serves as the internal voice of the customer, advocating on their behalf when working with other Comet teams and partners and driving alignment across Customer Engineering, Deployment Engineering, Sales, Marketing, and Product. You will also work with the broader team to identify and drive key initiatives, processes, tools, and programs to scale for growth.

This position reports directly to the VP of Customer Engineering. This individual's performance is based on specific metrics associated with customer satisfaction, revenue growth, and retention.

Key Responsibilities:

• Actively serve global accounts including some of the world’s leading organizations in financial services, insurance, pharmaceuticals, transportation, 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 Comet is strategically aligned to their desired business outcomes.
• Project manage the deployment and roll out of Comet across customer’s data science teams.
• Identify adoption and growth potential in your portfolio and advise your team and customers accordingly.
• Conduct periodic customer health checks to identify risk and work with your team to create and execute plans to reduce this risk.
• Collaborate cross functionally across teams including Customer Engineering, Sales and Product to ensure customers' success with focus on adoption, value and retention.
• Provide continued input and ideas to scale and improve internal processes and increase operational efficiency for the customer success organization.
• Leverage Customer Health analytics to identify customer upsell opportunities & churn risks.

Core Skills & Competencies:

• Solid understanding of current ML and MLOps landscape (applications, tools, new research) - A Must.
• Basic knowledge of Python.
• Basic experience working with the major cloud providers (AWS, Azure, GCP).
• Basic understanding of the processes required to deploy, upgrade and maintain software on customer infrastructure.
• Passion for providing outstanding customer experiences.
• Quick problem solver with exceptional attention to detail.
• Strong communication and presentation skills; even better listening skills.
• Experience establishing credibility with senior decision-makers, especially those in engineering leadership.
• Track record of thinking analytically to create solutions that deliver real business value.
• Strong organizational skills when juggling multiple accounts and assignments.
• An intrinsic motivation to exceed goals and help others do the same.
• Track record of proactively improving internal and customer-facing processes and systems.

Qualifications:

• 4+ years of experience working directly with customers and partners in the data science and machine learning domain, or in the data management space: big data and analytics, data integration, major cloud platforms (AWS, GCP, Azure).
• 4+ years of people management experience with customer success, technical consulting, professional services ​​, or related customer-facing organizations.
• Strong track record of managing a portfolio of customers to drive product adoption, or responsible for delivering complex customer projects.
• Proven ability to manage competing priorities in a fast-paced environment.
• Travel a couple of times per quarter, or more, as the business requires.

This role will be fully remote or based in New York City and working with a global team (large presence in Tel Aviv and Europe).

Salary range : $140-240K