Technical Account Manager – TAM

Comet

. Own a portfolio of global accounts as the primary post-sale point of contact .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in customer success management within the AI/ML domain, focusing on customer onboarding, technical enablement, and leveraging machine learning frameworks. Proficient in managing customer relationships and driving product adoption, retention, and expansion revenue.

Highest-signal resume keywords

Customer Success ManagementMachine Learning ExpertiseTechnical EnablementPython ProficiencyLLM and Agentic AI Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPythonKerasPyTorchTensorFlowXGBoostHugging FaceLLM DevelopmentAgentic AIMLOps

Soft Skills

Strong CommunicationPresentation SkillsCustomer Relationship ManagementProblem SolvingPrioritization

Tools & Technologies

OpenAILangGraphBedrockAWSAzureGCP

Industry Keywords

Customer SuccessData ScienceAI/MLTechnical EnablementCustomer Onboarding

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformKerasPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Own a portfolio of global accounts as the primary post-sale point of contact
Lead new customer onboarding and enablement on the Comet platform
Help customers achieve business and technical outcomes as a trusted advisor
Understand customer use cases and machine learning goals, including agentic AI and multi-agent systems
Lead technical enablement sessions covering time series forecasting, computer vision, LLM fine-tuning, RAG evaluation, and agentic AI
Troubleshoot technical questions and issues, including Python SDK integration, custom visualizations, integrations, and technical working sessions
Create examples and help customers leverage ML/LLM/agentic frameworks and integrations
Use customer health analytics to identify expansion opportunities and churn risks, partnering with Sales
Support renewals by ensuring customers realize ongoing value
Partner with Product and Engineering on customer feedback and product roadmap
Contribute to scalable initiatives, processes, tools, and programs
Report to the Head of Customer Success and be measured on customer satisfaction, product adoption, retention, and expansion revenue

Requirements

What you’ll need

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
Comfort with common LLM models, agent frameworks, and tools, including OpenAI, LangGraph, Bedrock, and agent orchestration frameworks
3+ years of experience in the AI/ML domain in a customer-facing role
Ability to manage competing priorities across a portfolio of accounts
Strong communication and presentation skills
Basic experience working with AWS, Azure, and GCP
Strong understanding of the ML, MLOps, and agentic AI landscape
Deep and demonstrable knowledge of Python and ML frameworks, including Keras, PyTorch, TensorFlow, XGBoost, and Hugging Face
Familiarity building or evaluating agentic AI applications is 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

Benefits

Comp & perks

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
Fully remote work in North America
Some flexibility with work hours