Lead Data Products Engineer: AI Internal Tools Hybrid

Guidde

United States

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Guidde is seeking a Data Products Engineer to take full ownership of its internal product suite, including full-stack applications, AI agent tools, and automation pipelines that empower every department. You will drive architectural decisions, deploy AI workflows, and ensure data-informed decisions across Product, CS, Sales, and exec leadership.

You will report to the VP of CS & Data, operate with high autonomy, and collaborate with Data Ops to transform raw data into intuitive interfaces and

Qualifications

  • Proven track record delivering end-to-end full-stack applications.
  • Hands-on experience building AI agent workflows and tooling.
  • Strong understanding of data concepts including SQL and data warehouses like BigQuery or Snowflake.
  • Familiarity with containerization, CI/CD pipelines and serverless/cloud platforms.

Responsibilities

  • Own Guidde's internal product suite, building core dashboards for multiple teams.
  • Design, deploy, and refine AI workflows enabling data-driven decisions.
  • Architect workflow automations and APIs to connect data with operational tools.
  • Collaborate with Data Ops and Analysts to convert raw data into usable interfaces and actions.
  • Manage end-to-end DevOps lifecycle for internal apps, including deployment and observability.
  • Set technical direction for internal tooling and align with leadership on strategy.

Skills

Full-Stack software engineering
AI agent development
SQL & data warehousing
DevOps & cloud infrastructure

Tools

Docker
CI/CD
Cloud Run
n8n
Zapier

Job description

Guidde is seeking a Data Products Engineer to take full ownership of its internal product suite, including full-stack applications, AI agent tools, and automation pipelines that empower every department. You will drive architectural decisions, deploy AI workflows, and ensure data-informed decisions across Product, CS, Sales, and exec leadership.

You will report to the VP of CS & Data, operate with high autonomy, and collaborate with Data Ops to transform raw data into intuitive interfaces and

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