Senior Product Manager

Senior Product Manager at Cleanlab Job Description Build novel software products and interfaces for the rapidly growing field of data‑centric AI. Our tools enable data scientists and AI engineers across all industries to effectively diagnose and fix issues in their datasets, thus improving the quality of their business’s core asset. 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. Work across the entire organization at a dynamic startup. Collaborate with: executives, engineering, design, sales, to deliver a product that delights users and helps enterprises succeed in Data/AI projects. In this position, you will Provide product ownership and accountability: Drive high quality: be evidence-based and opinionated to ship multiple product features, keeping the product accountable to specifications and a high standard of quality based on what customers value the most Sales enablement: Triage sales/customer feedback: work with sales team and customers to define specifications in our products/features that optimize for customer success and revenue) Engineering enablement: Prioritization and product specification: work with engineering team to drive product/feature specifications for engineering that maximize what customers want to pay for Design enablement: Product usability: work with design team to make product and feature specs that capture the primary value that engineers/data‑scientists want to use and buyers/managers wants to pay for) Product marketing and growth enablement: Product growth: support marketing with product details and market interest to enhance growth and top‑of‑funnel We are looking for 5+ years working as a Product Manager with high level of ownership. Technical skills to understand concepts from AI and Data Science, many users of our product are highly technical. Previous work experience on an enterprise software product used via both interactive UX and APIs. Love the products at Cleanlab and feel genuinely enthusiastic about automating the data side of AI and can visualize clearly what great looks like for our products. 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. Benefits Annual travel stipend 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 $150,000 to $200,000. 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 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 about the Cleanlab team here. 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. #J-18808-Ljbffr