Product Manager – AI Data Platform

Glint Tech Solutions

  • Sunnyvale, California
  • 9 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationSunnyvale, California
    Websitehttps://www.glinttechsolutions.com

    Description

    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're experiencing 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
    • 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

    We'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.

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