Technical Account Manager – TAM

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍🔧 Technical Account Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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Comet

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B

Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle. By leveraging Comet, users can employ machine learning experiment tracking to track, compare, explain and reproduce their models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams.

📋 Description

• 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

• 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

• 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