Comet · 4 weeks ago
Technical Account Manager (TAM)
United States
Full-time
Remote
Mid Level
3+ years expComet is building a development platform for AI applications and is seeking a Technical Account Manager (TAM) to serve as the primary technical advisor for their largest enterprise customers. The role involves ensuring customers maximize the value of the Comet platform through technical troubleshooting, expert guidance, and fostering strong relationships across accounts.
AI InfrastructureArtificial Intelligence (AI)Developer ToolsMachine LearningSoftware
Responsibilities
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
Qualification
Required
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
Preferred
Customer Success Engineer, Sales Engineer or Solutions Architect in the AI/ML space
Data Science consultant for a top consulting firm
Data Scientist or ML Engineer with other customer facing 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.
Company
Comet
Comet allows data scientists to automatically track their datasets, code changes, experimentation history, and production models.
51-200 employees
H1B Sponsorship
Comet has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (3)
2022 (1)
2021 (4)
2020 (4)
Funding
Current Stage
Growth StageTotal Funding
$69.9MKey Investors
OpenViewScale Venture PartnersTrilogy Equity Partners
2021-11-18Series B· $50M
2021-04-08Series A· $13M
2020-04-22Seed· $4.5M
Leadership Team
Nimrod Lahav
Co-Founder
Douglas Blank
Head Of Research
Recent News
Inc42 Media
2025-12-29
2025-11-15
Company data provided by crunchbase