Product Manager – AI Data Platform

Glint Tech Solutions LLC

Sunnyvale, CA

JOB DETAILS
SALARY
$150,000–$250,000 Per Year
SKILLS
Artificial Intelligence (AI), B2B eCommerce, Cisco Network Systems, Communication Skills, Computer Science, Cross-Functional, Customer/Client Research, Data Analysis, Data Warehousing, Database Extract Transform and Load (ETL), Ecosystems, Establish Priorities, Fortune 500 Customers, Fundraising, Machine Tool, Mail Services, Mathematics, Metrics, Modeling Languages, Presentation/Verbal Skills, Product Design, Product Development, Product Lifecycle, Product Management, Product Planning, Product Shipments, Product Strategy, Product/Service Launch, Programming Tools, Revenue Growth, SQL (Structured Query Language), Software as a Service (SaaS), Startup, Team Player, Technical Leadership, Writing Skills
LOCATION
Sunnyvale, CA
POSTED
7 days ago

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.

About the Company

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Glint Tech Solutions LLC