Senior Product Marketing Manager

San Francisco, CA, United States

Serve as the voice of our AI startup to establish our brand as a top provider of software for Data/AI projects.

Tell the world about the rapidly growing field of data-centric AI . Our team has built the world’s most popular software for Data-Centric AI via open-source, and now aims to achieve the same via our SaaS software platform.

Craft creative messaging to communicate why enterprises should not think of Data and AI as separate and help them understand how AI can be used to improve their Data in order to produce better AI.

Shape the future of AI workloads with guidance from MIT PhDs who are prominent in ML research and have pioneered an innovative approach using AI to improve the data itself.

In this position, you will Own the marketing efforts of our early-stage AI startup and our brand.

Run high-velocity experiments to determine and maximize demand generation for Cleanlab products. Conduct data-driven exploration of market verticals via rapid marketing experiments.

Craft product marketing content with the help of our AI researchers, designers, and developer relations engineer. Understand and write about Cleanlab data curation, enrichment, and data-centric AI/GenAI products (e.g. to customers, in blogs, to generate top-of-funnel demand).

Manage our social media accounts, paid advertising/event initiatives, and email campaigns that interface with thousands of users and customers.

Monitor and drive which marketing channels are most effective for product usage, sales, and retention; and implement strategy to capitalize on your findings.

We are looking for 5+ years working in enterprise software Marketing with high level of ownership. Ideal candidates will have worked as PMM in an AI or Data Science company, as well as previous experience in startups (bonus if they have both open-source and SaaS offering).

Technical skills to produce compelling content for AI engineers and data scientists, with communication skills to produce compelling content for enterprise executives. A love of efficient writing about AI products for generating demand.

Love reviewing technical content generated by AI researchers/engineers, and adding takeaway, ROI, CTAs to make it market ready for demand generation and aligned with our brand.

Strong multi-tasking abilities (can work on 6 things a day easily).

Self-drive, can ideate and own the execution of high velocity marketing experiments (knows the low hanging marketing fruit).

High grit, resourceful, “get things done” attitude.

Bonus: Previous experience at a successful Series A-C startup in SaaS Enterprise/open-source in the Data/AI space and want to do it again, starting as an IC doer with the potential for more senior candidates to have 1-2 headcount in the next 6-12 months.

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 :

Travel enhances our empathy with different cultures and enables us to work together more effectively. It’s how we grow and learn: traveling is an essential part of what makes us human. At Cleanlab, every two months you will receive a reimbursable travel benefit. This is a unique benefit that lets you work from Paris for a week in February, then take a backpacking trip in the Andes for a weekend in March.

Premium health insurance (+ dental and vision) We provide a fantastic $4 (we cover the rest) health insurance option. We also provide a $0 deductible 100% coverage premium health care option for those who prefer the best health insurance.

Stipend for attending conferences to keep up with the latest innovations in ML and software.

Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.

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.

Read how Cleanlab went from MIT PhD research to tech used by Amazon, Google, etc here .

See what Google, Tencent, and other Cleanlab users think here .

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