Technical Account Manager (TAM)

Summary

Comet is building a development platform for teams that want to ship robust, reliable, and responsible AI applications. The Technical Account Manager will serve as the primary technical and strategic partner for customers post-sale, leading onboarding, enablement, technical support, adoption, retention, and expansion while collaborating across internal teams.

Responsibilities

• Own a portfolio of global accounts, including some of the world's leading organizations in financial services, insurance, pharmaceuticals, transportation, and technology, as their primary point of contact post-sale
• Lead new customer onboarding and enablement, ensuring teams are set up for success on the Comet platform from day one
• Drive value for customers by helping them achieve their business and technical outcomes, becoming a trusted advisor and de facto extension of their team
• Gain a deep understanding of each customer's use cases and machine learning goals, including agentic AI and multi-agent systems, 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, RAG application evaluation, and agentic AI development and 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/agentic frameworks and tools to create examples and help customers leverage our many integrations (ex: PyTorch, TensorFlow, Ray, OpenAI, Bedrock, LangChain, LangGraph, agent orchestration frameworks)
• Leverage customer health analytics to proactively identify expansion opportunities and churn risks, and drive account growth in partnership with Sales
• Support the renewal process by ensuring customers are realizing ongoing value and are positioned for a successful renewal conversation, partnering closely with the Sales/Account team who own the renewal contract itself
• Partner with Product and Engineering to provide customer and market feedback to help define product roadmap, including for agentic AI use cases

Skills

• Customer Success Manager, Customer Success Engineer, TAM, Sales Engineer, or Solutions Architect in the AI/ML space, with at least 3 years of experience
• Data Science consultant for a top consulting firm
• Data Scientist, ML Engineer or Agentic AI/AI Engineer with other customer-facing experience
• Hands-on experience with the LLM and agentic AI development process, and comfort with common LLM models, agent frameworks, and tools (ex: OpenAI, LangGraph, Bedrock, agent orchestration frameworks)
• 3+ years of experience in the AI/ML domain in a customer-facing role (TAM, CSM, Solutions Engineering, or similar)
• Quick problem solver with exceptional attention to detail
• Proven ability to manage competing priorities across a portfolio of accounts in a fast-paced environment
• Passion for building customer relationships and providing outstanding customer experiences
• Strong communication and presentation skills; even better listening skills
• Basic experience working with the major cloud providers (AWS, Azure, GCP)
• Strong understanding of the current ML, MLOps, and agentic AI landscape (applications, tools, new research)
• Deep and demonstrable knowledge of Python and ML frameworks (ex: Keras, PyTorch, TensorFlow, XGBoost, Hugging Face), with familiarity building or evaluating agentic AI applications a plus
• Ability to travel a couple of times per quarter
• Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience
• This role will be fully remote in North America, working with a global team (large presence in the US, Tel Aviv, and Europe)
• Some flexibility with work hours is required

Qualifications

Must Haves

• Customer Success Manager, Customer Success Engineer, TAM, Sales Engineer, or Solutions Architect in the AI/ML space, with at least 3 years of experience
• Data Science consultant for a top consulting firm
• Data Scientist, ML Engineer or Agentic AI/AI Engineer with other customer-facing experience
• Hands-on experience with the LLM and agentic AI development process, and comfort with common LLM models, agent frameworks, and tools (ex: OpenAI, LangGraph, Bedrock, agent orchestration frameworks)
• 3+ years of experience in the AI/ML domain in a customer-facing role (TAM, CSM, Solutions Engineering, or similar)
• Quick problem solver with exceptional attention to detail
• Proven ability to manage competing priorities across a portfolio of accounts in a fast-paced environment
• Passion for building customer relationships and providing outstanding customer experiences
• Strong communication and presentation skills; even better listening skills
• Basic experience working with the major cloud providers (AWS, Azure, GCP)
• Strong understanding of the current ML, MLOps, and agentic AI landscape (applications, tools, new research)
• Deep and demonstrable knowledge of Python and ML frameworks (ex: Keras, PyTorch, TensorFlow, XGBoost, Hugging Face), with familiarity building or evaluating agentic AI applications a plus
• Ability to travel a couple of times per quarter
• Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience
• This role will be fully remote in North America, working with a global team (large presence in the US, Tel Aviv, and Europe)
• Some flexibility with work hours is required

Benefits

• Competitive benefits package.
• Flexible working hours and remote work options.
• Opportunities for professional growth and development.
• A collaborative and innovative work environment.
• The chance to work with cutting-edge technologies and projects.
• This role will be fully remote in North America, working with a global team (large presence in the US, Tel Aviv, and Europe).