Partner with Account Executives to support enterprise opportunities from technical discovery through close
Lead technical discovery sessions, architecture discussions, workshops, demos, and proof-of-concepts
Build and deliver compelling demos and sample GenAI applications
Design and execute enterprise proof-of-concepts with measurable success criteria
Help customers operationalize AI agents and GenAI applications
Support MEDDPICC qualification including technical pain validation and competitive positioning
Partner closely with Customer Success for onboarding and post-sales deployment
Collaborate with Product and Engineering teams on customer feedback and product gaps
Build reusable demo assets and technical enablement content
Assist in developing standardized demo flows and best practices
RESTful APIsGenerative AI
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About Comet
Comet is revolutionizing how machine learning and large language model (LLM) lifecycles are managed. They build tools that empower data scientists, engineers, and team leaders to track, compare, explain, and optimize models from training through production. Their platform helps organizations of all sizes, from startups to enterprise companies, streamline their ML workflows and realize the full potential of their AI initiatives. An estimated 70% of people in North America have interacted with a machine learning or deep learning model that was trained using Comet's platform.
How We Work
Comet operates as a remote-first company with offices in New York City (USA) and Tel Aviv (Israel). They champion a collaborative environment, with employees from over 14 countries working together towards a collective goal. The company values ownership, autonomy, curiosity, continuous learning, and clear communication. You'll find a balance between professional growth and personal life here, with flexibility in work hours to accommodate global team collaboration.
Engineering at Comet
Comet is at the forefront of AI development, building a platform that simplifies the complex ML workflow. Engineers here solve challenges related to experiment management, model management, and production monitoring. Their open-source LLM evaluation framework, Opik, is a popular tool in the space. You will work with cutting-edge technologies, building observability tools for LLM applications and RAG systems. They emphasize a pragmatic approach to shipping fast, learning from users, and continuously improving products. Engineers collaborate closely with AI researchers to implement advanced evaluation methodologies and integrate with popular LLM frameworks.
Why Join Us
Accelerate the development of impactful AI technology alongside a passionate team.
Contribute to an open-source platform, Opik, used by thousands of researchers and engineers.
Work with cutting-edge technologies in machine learning and large language models.
Grow professionally through diverse opportunities in a collaborative, remote-friendly environment.
Benefits & Perks
Competitive salary and equity packages.
Healthcare, dental, and vision insurance (where applicable).
401K account.
Vacation and parental leave.
Flexible working hours and remote/hybrid work options.