Product Manager – AI Data Platform

About The Company

We are building the next generation of AI-native data infrastructure, helping Fortune 500 companies—including Cisco, Pepsi, and Workday—optimize their entire data stack. We've experienced exceptional growth: 8x revenue growth over the past 12 months, surpassed our $3M annual revenue milestone, raised $12M from leading investors including Canaan Partners, Sierra Ventures, and the founder of Postman, and are positioned for an exciting Series A fundraising round. Our engineering and product teams are deeply AI-native, constantly experimenting with cutting-edge AI tools and workflows. This is an opportunity to work on technology that is fundamentally changing how modern software is built.

Position

Product Manager – AI Data Platform

What You'll Do

• Own the product lifecycle from discovery through launch for AI-native data products.
• Partner closely with Engineering and Design to define product strategy and execution.
• Prioritize product roadmaps based on customer feedback, technical constraints, and business impact.
• Translate complex technical requirements into clear product specifications.
• Build products from 01 for technical users.
• Collaborate directly with customers to understand workflows and identify product opportunities.
• Define success metrics and iterate quickly using customer insights and data.
• Work with AI-powered development workflows and incorporate modern AI tooling into product development.

Required Qualifications

• 3+ years of Product Management experience.
• Experience building and launching technical products from 01.
• Experience as a Product Manager at an early-stage startup (Seed through Series B preferred).
• Experience building native AI/GenAI products, not simply adding AI features to existing software.
• Strong understanding of the modern data ecosystem, including: ELT / ETL, Data Warehousing, dbt, Snowflake, Spark, Data orchestration platforms.
• Previous experience as a Data Engineer or strong technical background working with data infrastructure.
• Strong SQL skills.
• Comfortable working directly with engineers on highly technical products.
• Daily user of modern AI developer tools such as: Cursor, Claude Code, CodeCodex, Similar AI coding assistants.
• Working knowledge of: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI evaluation methodologies.
• Bachelor's degree in Computer Science, Mathematics, Engineering, or another technical discipline (Master's is a plus).