招聘
福利待遇
•Flexible Hours
•Remote Work
必备技能
Product Management
Developer tools
LLM Agents
AI tools
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).
You are:
We are looking for a product builder with strong execution instincts and a deep understanding of developers. You care about shipping fast, learning from real users, and improving the product continuously, not just writing specs. You think like a founder, are comfortable getting technical (including writing code when it helps you move faster), and thrive in open feedback loops with our community of builders. You partner tightly with engineering and design, contribute clarity and conviction to decision-making, and are energized by working on products that are deeply technical and meaningful to the future of AI.
Responsibilities:
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Own and ship high-impact features within the Opik product, end to end from definition to launch
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Bring clarity to ambiguous problems and make fast, pragmatic product decisions
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Engage directly with developers and early users to gather feedback and rapidly iterate
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Work closely with engineering and design to drive execution with urgency and clarity
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Monitor adoption and performance of shipped features and use learnings to improve quickly
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Share updates and priorities with the open-source community and internal stakeholders
Requirements:
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3+ years of Product Management experience, delivering highly successful and innovative products that you're deeply proud of
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Must have design and UX sensibilities
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Must have proven experience building developer tools
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Must have hands on experience either building LLM Agents running in production or building tools to support LLM engineers
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Experience shipping high-quality products from planning to launch to maintenance
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Ability to collaborate with engineers on technical architecture and product implementation
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Ability to communicate product value and opportunities across engineering, marketing, sales, individual users, and enterprise customers
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Proficiency using AI tools
Bonus:
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Experience training machine learning models or building MLOps / LLMOps tooling
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Experience as a growth PM in the developer tooling space
What We Offer:
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Competitive base salary - based on proven experience, skills and location.
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Competitive benefits package.
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Flexible working hours and remote/Hybrid work options.
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Opportunities for professional growth and development.
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A collaborative and innovative work environment.
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The chance to work with cutting-edge technologies and projects.
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This role will be located in Europe or Israel working with a global team (large presence in the US, Tel Aviv and Europe), some flexibility with work hours is required.
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.
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关于Comet ML

Comet ML
Series BComet ML provides a machine learning experiment management platform that helps data scientists and ML engineers track, compare, and optimize machine learning models and experiments.
51-200
员工数
New York
总部位置
评价
3.7
1条评价
工作生活平衡
3.0
薪酬
3.0
企业文化
3.0
职业发展
3.0
管理层
3.0
80%
推荐给朋友
优点
Enables visualization and automatic tracking of dataset work
Useful integration for EDA workflows
Good technical functionality
缺点
Limited feedback available
Single review basis
No specific cons mentioned
薪资范围
5个数据点
VP
VP · Chief Executive Officer
2份报告
$172,500
年薪总额
基本工资
$150,000
股票
-
奖金
-
$172,500
$172,500
面试经验
50次面试
难度
3.2
/ 5
时长
14-28周
录用率
38%
体验
正面 65%
中性 18%
负面 17%
面试流程
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
常见问题
Technical skills
Past experience
Team collaboration
Problem solving
新闻动态
is it safe to click a promoted post here on reddit? (website version)
i accidentally clicked on a promoted post here on reddit (the one that says Opik) and it redirected me to a different site which i immediately exited. can that give me a virus? or any spyware/malware? is that a malicious link/post? the screenshot is from my other post that i posted on a different community since i already deleted the original screenshot.
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4w ago
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1
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1
clicked on a promoted post here on reddit
i accidentally clicked on a promoted post here on reddit and it redirected me to a different site which i immediately exited. (the one that says Opik), can that give me a virus? is that a malicious link/post?
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4w ago
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6
Hugging face is somewhere to share open LLM models, not actual faces.
Poor girl posts a selfie to the hugging face subreddit which is a sub for talking about [huggingface.co](http://huggingface.co) \- a website for sharing open source LLM models.
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4w ago
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35
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3
5 OpenClaw plugins that actually make it production-ready
If you are using OpenClaw regularly, you start noticing patterns after a while. Simple tasks hit the same expensive model used for complex reasoning. MEMORY. md keeps growing but still misses the right context. Connecting tools like Slack, GitHub, or Gmail means dealing with auth and tokens. Sometimes the agent just stops mid-run and you have no clear trace of what happened. The agent works, but the system around it feels inefficient. Most of this comes from how the default setup works. It re
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4w ago
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191
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