About the job Product Manager - AI Data Platform
PositionProduct Manager - AI Data PlatformWe're looking for a highly technical Product Manager who is passionate about modern data infrastructure and AI-native products. This role is ideal for someone who enjoys working closely with engineering teams, shipping products from 01, and translating customer feedback into technical product decisions.
You'll play a key role in defining the roadmap for products used by highly technical users including data engineers, analytics engineers, and AI developers.
Location- Sunnyvale, CA (preferred)
- Hybrid / Onsite preferred
Compensation- $150,000 - $250,000 base salary (depending on experience and market)
- Competitive equity package
- Comprehensive benefits
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
- Codex
- 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).
Preferred Qualifications- Experience building products for developers, data engineers, or AI engineers.
- Strong understanding of AI infrastructure and developer tooling.
- Experience working in highly technical B2B SaaS environments.
- Comfortable wearing multiple hats in fast-moving startup environments.
- Excellent written and verbal communication skills.
