1d:I[34901,["/_next/static/chunks/1q_xs299ft_73.js","/_next/static/chunks/1hsg494-jz4os.js","/_next/static/chunks/1zxhbpwnpkk6f.js","/_next/static/chunks/08v7mhpebw2l_.js"],"JobTable"] 1e:T182b,

About Comet

Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies like Uber, Netflix, and Etsy. Tens of thousands of researchers, engineers, academics, and hobbyists use Comet every day to build the future of AI.

Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. Your work has the potential to accelerate the development of some of the most impactful technology in the world, and you will be doing it alongside a team of passionate, caring individuals. If that sounds exciting, Comet is the right place for you.

Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City (USA) and Tel Aviv (Israel).

About the Role:

Comet is looking for an experienced Deployment Engineer (located in the East or Central USA Only) to help our customers successfully deploy, operate, and troubleshoot Comet in their environments.

This is a highly customer-facing engineering role. You will work directly with customers to understand their infrastructure and deployment requirements, lead deployments, troubleshoot complex issues, and drive problems through to resolution.

You will also contribute to the engineering and automation behind our deployment solutions, including Kubernetes, Helm, Terraform, cloud infrastructure, tooling, and documentation.

What You’ll Do:

Work directly with customers to understand their infrastructure and deployment requirements.
Deploy and maintain Comet across Kubernetes and cloud environments.
Troubleshoot complex infrastructure and deployment issues across Kubernetes, networking, cloud services, databases, and application configuration.
Own customer issues from investigation through resolution, collaborating with Engineering, Support, Customer Success, and other teams when needed.
Develop and improve Helm charts, Terraform, deployment tooling, automation, and documentation.
Participate in technical customer calls and explain complex topics clearly.
Use AI tools for troubleshooting, development, automation, and investigation while validating results and maintaining engineering judgment.

What We’re Looking For:

Proven customer-facing technical experience is essential.
Proven experience using AI tools in real engineering workflows, with the ability to critically evaluate and validate their output.
Strong hands-on experience with Kubernetes, Helm and containerized applications.
Production experience with cloud infrastructure, preferably AWS.
Experience with Infrastructure as Code, preferably Terraform.
Strong Linux, networking, and infrastructure troubleshooting skills.
Experience troubleshooting production systems using logs, metrics, and monitoring/observability tools.
Excellent written and verbal communication skills.

How you work:

You take ownership and proactively move problems forward.
You are passionate about troubleshooting unfamiliar systems and looking for root causes rather than quick workarounds.
You can work independently while knowing when to collaborate or ask for help.
You communicate progress, blockers, and decisions clearly - especially in a remote environment.
You are comfortable with ambiguity and changing priorities.
You work well across teams and care about both the customer experience and engineering quality.

Nice to Have:

Enterprise or self-hosted software experience.
Multi-cloud or on-premises deployment experience.
CI/CD and GitOps experience.
MLOps or AI infrastructure experience.
Software development experience.
Startup experience.

What We Offer:

Competitive base salary - $150K-200K 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 , located in the East or Central USA Only, working with a global team (large presence in the US, Europe and Tel Aviv) – some flexibility with work hours is required.

Please note: We do not accept unsolicited resumes or candidate submissions from recruitment agencies for this position.

Comet is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics, and any other characteristic protected by State or Federal law.

1f:T2578,

About Comet

At Comet, our mission is to empower organizations to drive meaningful business value by unlocking the full potential of AI. As a leader in the MLOps and GenAI space, Comet provides the essential platform for AI developers to accelerate innovation. From the data scientist tracking deep learning training runs, to the enterprise team deploying hundreds of models to production, to individuals and teams developing Generative AI applications, Comet is the platform used by the most innovative builders in the industry.

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: you will onboard and enable new customers, provide hands-on AI/ML expertise (including on agentic AI systems), and act as a trusted advisor and extension of the customer's own team throughout their lifecycle with Comet. In addition to driving adoption and resolving technical challenges, you will identify and support expansion opportunities and 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, working closely with a broad set of customer stakeholders to demonstrate the value delivered through Comet's software and services while building durable, trusted relationships. You will also serve as the internal voice of the customer, advocating on their behalf and collaborating 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.

Who you are:

Technical Account Manager, Customer Success Manager, Customer Success Engineer, Sales Engineer, Forward Deployed Engineer, or Solutions Architect in the AI/ML space.
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, 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, RAG application evaluation, and agentic AI development and 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/agentic frameworks and tools to 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, and drive account growth in partnership with Sales.
Support the renewal process by ensuring customers are realizing ongoing value and are positioned for a successful renewal conversation, partnering closely with the Sales/Account team who own the renewal contract itself.
Partner with Product and Engineering to provide customer and market feedback to help define product roadmap, including for agentic AI use cases.

Requirements:

3+ years of experience in the AI/ML domain in a customer-facing role (TAM, CSM, Forward Deployed Engineer, Solutions Engineering, Technical Consulting or similar domain).
Hands-on experience with the LLM and agentic AI development process, and comfort with common LLM models, agent frameworks, and tools (ex: OpenAI, LangGraph, Bedrock, agent orchestration frameworks).
Working knowledge of LLM observability and evaluation concepts, such as tracing, evaluation datasets, LLM-as-a-judge and experiment tracking. Familiarity with OpenTelemetry or other tracing and instrumentation standards.
Strong Python skills, enough to write integration scripts, debug customer code and build working examples.
Strong understanding of the current ML, MLOps, and agentic AI landscape (applications, tools, new research).
Experience spotting account growth opportunities as well as risks, and working with Sales colleagues on renewals and expansions.
Demonstrated ownership of technical escalations, from diagnosis through resolution, with close attention to detail.
Proven ability to manage competing priorities across a portfolio of accounts in a fast-paced environment.
A track record of managing relationships with multiple stakeholders, including senior and executive contacts, and demonstrating platform value.
Strong communication and presentation skills; even better listening skills.
Ability to travel a couple of times per quarter.

Preferred Qualifications:

Experience working with the major cloud providers (AWS, Azure, GCP) plus working knowledge of docker and kubernetes.
Experience with traditional ML frameworks (ex: Keras, PyTorch, TensorFlow, XGBoost, Hugging Face)
Experience with customers in regulated industries such as financial services, insurance or pharma, including their security, compliance and model-risk requirements.
Contributions to open-source projects, or activity in AI developer communities.
Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.

What We Offer:

Competitive base salary + variable (~ $150-165K + $15-25K), 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 North America, working with a global team (large presence in the US and Europe, Tel Aviv ).
Some flexibility with work hours is required and ability to travel a couple of times per quarter.

20:T17a4,

About Comet

You are:

We are seeking a talented Full Stack Engineer to join our team and help build the Opik product! Opik is an open-source platform designed to streamline the entire lifecycle of LLM applications, helping developers evaluate, test, monitor, and optimize their models and agentic systems.

Ready to shape the future of LLM development? Join us in building the next generation of AI observability tools!

Responsibilities:

Build & ship features at high pace in a fast-moving AI development environment
Develop and maintain comprehensive observability tools for LLM applications and RAG systems
Create intuitive user interfaces for LLM tracing, evaluation dashboards, and production monitoring
Build robust APIs and backend services to support real-time LLM application monitoring
Collaborate with AI researchers and ML engineers to implement cutting-edge evaluation methodologies
Contribute to both frontend (React/TypeScript) and backend (Java) components
Design and implement automated evaluation systems and "LLM as a Judge" capabilities
Work on integrations with popular LLM frameworks and libraries
Participate in open-source community engagement and technical documentation

Requirements:

Experience: 3+ years of full-stack development experience, preferably in AI/ML domains
AI Development Tools: Hands-on experience with AI-assisted coding environments, IDEs, and agent-based workflows (e.g., Cursor, Windsurf, GitHub Copilot, Codex, Claude Code, and similar platforms)
Model Knowledge: Deep understanding of different AI model capabilities, limitations, and appropriate use cases (GPT-5, Claude, Gemini, etc.)
Frontend Development: Expertise in React, TypeScript and modern web development practices
Backend Development: Strong proficiency in Java with frameworks like Dropwizard
Database & Infrastructure: Knowledge of scalable database design and containerization
Observability Tools: Experience with tracing, monitoring, and evaluation systems
Collaboration: Strong communication skills for working in a distributed, global team environment
Problem Solving: Ability to work in ambiguous environments and solve complex technical challenges

Nice to have:

Open Source: Experience contributing to or maintaining open-source projects
AI/ML Experience: Understanding of Large Language Models, RAG systems, and AI application architectures

Preferred Qualifications:

Experience with model evaluation, prompt engineering, and LLM optimization
Knowledge of distributed systems and high-throughput data processing
Familiarity with ML experiment tracking and model monitoring platforms
Experience with DevOps practices and CI/CD pipelines
Understanding of AI safety, model security, and responsible AI practices

What We Offer:

Competitive salary, based on proven experience, skills and location.
Competitive benefits package.
Flexible working hours and remote/Hybrid 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 located in Tel Aviv, Israel (with hybrid flexibility) or in Europe (fully remote), working with a global team (large presence in the US, Tel Aviv and Europe), some flexibility with work hours is required to collaborate across time zones.

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Role	Company	Location	Season	Posted
Deployment Engineer	Comet	United StatesRemote	—	5 days ago
Technical Account Manager (TAM)	Comet	NY, United StatesRemote	—	25 days ago
Full Stack Engineer	Comet	Israel, EuropeHybrid	—	8 months ago