Technical Account Manager – TAM

October 15

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Comet

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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.

51 - 200 employees

📋 Description

• 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

• Hands on experience with the LLM development process and comfort with common LLM models and frameworks (ex: OpenAI, LangGraph, Bedrock) • 3+ years of experience in AI/ML domain in a customer-facing role • Quick problem solver with exceptional attention to detail • Proven ability to manage competing priorities 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 current ML and MLOps landscape (applications, tools, new research) • Deep and demonstrable knowledge of Python and ML frameworks (ex: Keras, PyTorch, Tensorflow, XGBoost, Huggingface) • Travel a couple of times per quarter • Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.

🏖️ Benefits

• Competitive base salary based on proven experience, skills and location. • 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 Europe working with a global team (large presence in the US, Tel Aviv and Europe).