Product Manager
Location: San Francisco (in person)
At Cleanlab, you’ll get to
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Design, spec, prioritize, and build impactful AI infrastructure and software products to address the critical challenge of AI reliability. Cleanlab’s tools empower businesses and developers to create more reliable and accurate AI systems. Our platform identifies and fills knowledge gaps, optimizes workflows to include non-technical subject matter experts, and generates trustworthiness scores for AI outputs—helping enterprises implement AI effectively with minimal extra effort.
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Shape the AI industry’s future by collaborating with MIT PhDs who are leaders in machine learning research and pioneers of data-centric AI techniques.
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Collaborate across the organization in a fast-paced startup environment. Work directly with founders and engineers to develop products that delight users and enable enterprise success in AI and data-driven initiatives.
In this position, you will
Own and accelerate the product development process
- Write product specifications, collaborating closely with engineering, balancing user needs with technical feasibility.
- Balance shipping features at high velocity with quality control.
- Translate user, internal feedback, and sales insights into actionable product improvements.
- Maintain and enhance product documentation to provide clear guidance for users and internal teams.
Lead feature prioritization and execution
- Make evidence-based decisions on feature prioritization, balancing immediate user needs with long-term strategic goals.
- Work with engineering and design teams to ensure timely delivery of high-impact product components.
Drive customer success and product growth
- Optimize onboarding and sign-up processes.
- Partner with sales and founders to understand and prioritize customer needs, regularly interacting with customers to validate hypotheses and refine product strategy.
- Understand emerging trends in AI developer software and products, especially in the RAG and Agentic space, to identify feature opportunities.
- Collaborate with Cleanlab’s founders to develop and execute the product vision, aligning with technical capabilities and market opportunities.
We are looking for
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5+ years of product management experience with a technical background and demonstrated ownership of products and features that drive measurable impact.
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Strong technical aptitude with the ability to understand concepts in AI, data science, and developer APIs. Familiarity with what makes a “good” product in this space is essential, as your users will be highly technical.
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Experience in enterprise B2B software, particularly AI infrastructure (e.g., RAG/Agents), with a focus on scalability and usability.
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Early-stage, startup mindset: thrive in a pre-PMF, fast-paced, dynamic environment, wearing multiple hats and making significant contributions daily.
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Attention to detail and speed: capable of creating technical PRDs, prioritizing features, identifying user pain points, and turning them into product solutions that drive growth and adoption.
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Bonus: Experience at a Series seed, A, or B SaaS, AI infrastructure, or enterprise AI startup, with a track record of thriving in early-stage environments.
Why Cleanlab?
- Be part of a Forbes top 50 AI startup backed by Databricks, Menlo Ventures, Bain Capital, Samsung, and the founders of GitHub, Yahoo, and Okta.
- Join a culture that values ownership, learning, and growth, with a founding team of MIT PhDs and top-tier engineers.
- Work in person at our San Francisco office, located in the epicenter of early-stage AI companies.
Are you ready to shape the future of AI with us?
How to apply
- Apply here: https://cleanlab.ai/apply
Benefits
Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:
- Premium health insurance, including dental and vision.
- Professional development stipend to keep up with the latest innovations in ML and software.
- 401(k) with employer match.
- Unlimited PTO, unlimited sick days, 10 company-wide holidays.
- Work with a talented team unified by a vision to solve challenging problems in artificial intelligence.
- Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.
- Relocation bonus to move to San Francisco.
The compensation range for this role is $140,000 to $190,000. The final offer details are determined by several factors including candidate experience/expertise and may vary from the pay range provided.
About us
Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.
Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.
While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.
We are a hybrid company, with over half of our team (and office) located in San Francisco.