[Hiring] Technical Account Manager @Comet

Role Description

We are seeking a Technical Account Manager (TAM) to serve as the primary technical and strategic partner for our customers post-sale. This is a hybrid role, blending the technical depth of a TAM with the relationship ownership of a Customer Success Manager:

• Onboard and enable new customers.
• Provide hands-on AI/ML expertise (including on agentic AI systems).
• Act as a trusted advisor and extension of the customer's own team throughout their lifecycle with Comet.
• Drive adoption and resolve technical challenges.
• Identify and support expansion opportunities.
• Help ensure customers renew while working with the Sales/Account team.

As a TAM (fully remote in North America), you will own a portfolio of assigned accounts end-to-end, from onboarding through steady-state usage to growth:

• Work closely with a broad set of customer stakeholders to demonstrate the value delivered through Comet's software and services.
• Build durable, trusted relationships.
• Serve as the internal voice of the customer, advocating on their behalf.
• Collaborate with Customer Engineering, Deployment Engineering, Sales, Marketing, and Product to drive alignment and continuous improvement.

Beyond customer engagement, you will contribute to key initiatives, processes, tools, and programs that scale Comet's impact as we grow. This role reports directly to the Head of Customer Success and is measured by key metrics, including customer satisfaction, product adoption, retention, and expansion revenue.

Join us in shaping the future of AI by helping organizations build, deploy, and scale transformative models with confidence.

Qualifications

• 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.

Responsibilities

• Own a portfolio of global accounts, including some of the world's leading organizations in financial services, insurance, pharmaceuticals, transportation, and technology, as their primary point of contact post-sale.
• Lead new customer onboarding and enablement, ensuring teams are set up for success on the Comet platform from day one.
• Drive value for customers by helping them achieve their business and technical outcomes, becoming a trusted advisor and de facto extension of their team.
• Gain a deep understanding of each customer's use cases and machine learning goals, including agentic AI and multi-agent systems.
• Lead technical enablement sessions on how to use the Comet platform for various workflows and use cases.
• Troubleshoot and resolve technical questions and issues from end users.
• Create examples and help customers leverage our many integrations (ex: PyTorch, TensorFlow, Ray, OpenAI, Bedrock, LangChain, LangGraph, agent orchestration frameworks).
• Leverage customer health analytics to proactively identify expansion opportunities and churn risks.
• Support the renewal process by ensuring customers are realizing ongoing value.
• Partner with Product and Engineering to provide customer and market feedback to help define product roadmap.

Requirements

• Hands-on experience with the LLM and agentic AI development process.
• 3+ years of experience in the AI/ML domain in a customer-facing role.
• Quick problem solver with exceptional attention to detail.
• Proven ability to manage competing priorities across a portfolio of accounts 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 the current ML, MLOps, and agentic AI landscape.
• Deep and demonstrable knowledge of Python and ML frameworks.
• 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 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.