Technical Account Manager – TAM

This is a fully remote position, open to applicants in United States.

📋 Description

• Manage a portfolio of global accounts as the main post-sale contact.

• Oversee the onboarding and enablement of new customers on the Comet platform.

• Assist customers in achieving their business and technical objectives as a trusted advisor.

• Grasp customer use cases and machine learning aspirations, including agentic AI and multi-agent systems.

• Conduct technical enablement sessions that cover time series forecasting, computer vision, LLM fine-tuning, RAG evaluation, and agentic AI.

• Address technical inquiries and concerns, such as Python SDK integration, custom visualizations, and technical working sessions.

• Develop examples and aid customers in utilizing ML/LLM/agentic frameworks and integrations.

• Leverage customer health analytics to pinpoint expansion opportunities and churn risks, collaborating with the Sales team.

• Facilitate renewals by ensuring customers recognize ongoing value.

• Collaborate with Product and Engineering teams on customer feedback and product roadmap initiatives.

• Contribute to scalable initiatives, processes, tools, and programs.

• Report to the Head of Customer Success and be evaluated based on customer satisfaction, product adoption, retention, and expansion revenue.

⛳️ Requirements

• Experience as a Customer Success Manager, Customer Success Engineer, TAM, Sales Engineer, or Solutions Architect in the AI/ML sector, with a minimum of 3 years in the field.

• Former Data Science consultant for a leading consulting firm.

• Background as a Data Scientist, ML Engineer, or Agentic AI/AI Engineer with relevant customer-facing experience.

• Practical experience with the LLM and agentic AI development processes.

• Familiarity with common LLM models, agent frameworks, and tools, such as OpenAI, LangGraph, Bedrock, and agent orchestration frameworks.

• 3+ years of experience in the AI/ML industry in a customer-facing capacity.

• Capability to manage competing priorities across multiple accounts.

• Excellent communication and presentation abilities.

• Basic knowledge of working with AWS, Azure, and GCP.

• Strong comprehension of the ML, MLOps, and agentic AI landscape.

• Extensive and demonstrable expertise in Python and ML frameworks, including Keras, PyTorch, TensorFlow, XGBoost, and Hugging Face.

• Experience in building or assessing agentic AI applications is advantageous.

• Willingness to travel a few times each quarter.

• Bachelor’s degree in Computer Science or a related engineering discipline, or equivalent practical experience.

🏝️ Benefits

• Competitive benefits package.

• Flexible working hours and options for remote work.

• Opportunities for professional growth and development.

• A collaborative and innovative work atmosphere.

• The opportunity to engage with cutting-edge technologies and projects.

• Fully remote work available in North America.

• Some flexibility with work hours.