Technical Account Manager (TAM)

About Comet

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI. 

Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you.

Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel).

At Comet, our mission is to empower organizations to drive meaningful business value by unlocking the full potential of AI. As a leader in the MLOps and GenAI space, Comet provides the essential platform for AI developers to accelerate innovation. From the data scientist tracking deep learning training runs, to the enterprise team deploying hundreds of models to production, to individuals and teams developing Generative AI applications, Comet is the platform used by the most innovative builders in the industry.

We are seeking a Technical Account Manager (TAM) to serve as the primary technical advisor for our largest enterprise customers. In this role, you will ensure that cutting-edge AI teams maximize the value of the Comet platform. Through deep understanding of customers’ MLOps stacks and ML/GenAI use cases, you will provide expert guidance, technical troubleshooting, and hands-on enablement, as well as build bespoke integrations to meet their unique needs.

As a TAM, you will work closely with a broad set of customer stakeholders, illustrating the value delivered through Comet’s software and services while fostering strong relationships across accounts. You will also serve as the internal voice of the customer, advocating on their behalf and collaborating with Customer Engineering, Deployment Engineering, Sales, Marketing, and Product to drive alignment and continuous improvement.

Beyond customer engagement, you will contribute to key initiatives, processes, tools, and programs that scale Comet’s impact as we grow. This role reports directly to the Head of Solutions Engineering and is measured by key metrics, including customer satisfaction, retention, and revenue growth.

Join us in shaping the future of AI by helping organizations build, deploy, and scale transformative models with confidence.

Who you are:

• Customer Success Engineer, Sales Engineer or Solutions Architect in the AI/ML space
• Data Science consultant for a top consulting firm
• Data Scientist or ML Engineer with other customer facing experience

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.
• Lead technical enablement sessions on how to use the Comet platform for an array of workflows and use cases, from training time series forecasting or computer vision models, to LLM fine tuning or RAG application evaluation
• Troubleshoot and resolve technical questions and issues from end users - helping with Python SDK integration, solutioning custom visualizations and integrations and leading technical working sessions
• Use knowledge of ML/LLM frameworks and tools to create examples and help customers leverage our many integrations (ex: Pytorch, Tensorflow, Ray, OpenAI, Bedrock, Langchain, Langraph)
• Leverage Customer Health analytics to identify customer upsell opportunities & churn risks.
• Partner with Product and Engineering to provide customer and market feedback to help define product roadmap

Requirements:

• Bachelor's degree in Computer Science or a related engineering field, or equi