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AI Product Manager – Data Products - 1808
Location: Remote (United States)
Employment Type: Direct Hire - Full-Time Employment
Salary Range: $150,000–$250,000 Base Salary
Residency Requirements: U.S. Citizens and all other candidates authorized to work in the United States are encouraged to apply. Sponsorship is not available for this position. About the Role

We're looking for a highly technical AI Product Manager to help build next-generation AI-powered data products. You'll partner closely with engineering to define product direction, prioritize work, and translate customer and user feedback into technical requirements.

This role is ideal for someone who has worked in an early-stage startup, understands modern data infrastructure, and actively leverages AI tools in their daily workflow.

What You'll Do

• Own product initiatives from concept through launch, focusing on technical users and data products.
• Collaborate closely with engineering to prioritize product development and deliver customer value.
• Gather user feedback and translate business needs into clear technical requirements.
• Build and launch new AI-native products from 0 to 1.
• Drive roadmap planning and prioritize features based on customer impact and technical feasibility.
• Work with modern AI technologies to accelerate product development and improve internal workflows.
• Partner with customers to understand evolving technical challenges and identify product opportunities.
• Help shape the company's AI-first product strategy while contributing hands-on throughout the product lifecycle.

Required Qualifications

• 3+ years of Product Management experience.
• Experience building and launching products from 0 to 1 for technical users.
• Product Management experience at an early-stage startup (Seed through Series B preferred).
• Previous experience as a Data Engineer.
• Strong understanding of the modern data ecosystem.
• Experience building native Generative AI products, not simply adding AI features to existing software.
• Strong technical communication skills with the ability to work directly alongside engineering.
• Hands-on experience using AI tools as part of your daily workflow.

Technical Qualifications

Candidates should have experience with many of the following:

Modern Data Stack

• ELT/ETL pipelines
• Data Warehousing
• dbt
• Snowflake
• Apache Spark
• Data orchestration platforms
• SQL

AI Technologies

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI evaluation frameworks
• Prompt engineering
• AI-assisted product development

AI Development Tools

• Claude Code
• Cursor
• Codex
• Similar AI coding and development tools

Education

• Bachelor's degree in Computer Science, Mathematics, Engineering, or another technical discipline preferred.

What We're Looking For

The ideal candidate is highly technical, curious, and excited about building AI-native products in a fast-moving startup environment.

Successful candidates will demonstrate:

• Strong technical depth in data engineering and AI.
• Startup mentality with a hands-on approach.
• Curiosity and passion for rapidly evolving AI technologies.
• Ability to work independently with minimal direction.
• Excellent communication between customers and engineering teams.
• Low ego, collaborative mindset, and respect for teammates.
• A genuine enthusiasm for experimentation and innovation.

Candidates Unlikely to Be a Fit

The following backgrounds generally do not align with this opportunity:

• Career Product Managers from large, slow-moving technology companies (FAANG or similar).
• Candidates who require highly structured or hierarchical work environments.
• Professionals whose experience is primarily in data science or analytics rather than product development.
• Candidates without hands-on experience building AI-native products.
• Product Managers without a strong technical foundation in modern data platforms.