Data Engineering Manager (AI)

Location: United States - Remote; optional collaborative workspaces in Austin, Atlanta, and London.

Base salary: $150,000–$250,000 annually, with possible variable compensation, equity, and benefits according to local policies.

Company

Commerce operates an AI-driven commerce ecosystem through BigCommerce, hirify.global, and Makeswift, connecting tools and systems that support business growth, data products, and personalized commerce experiences.

What you will do

• Lead, mentor, hire, onboard, and develop a team of data engineers, including performance management and career development.
• Own the technical roadmap and architecture for the Enterprise Data platform built primarily on Snowflake and orchestrated with Airflow.
• Embed AI coding assistants and agentic tools into pipeline development, testing, documentation, code review, and daily engineering workflows.
• Design and govern agent-assisted or autonomous data quality checks, self-healing pipelines, and LLM-powered data products with evaluation, guardrails, and human-in-the-loop review.
• Partner with Analytics, Data Science, Product, and business stakeholders to deliver reliable, governed data products.
• Set standards for data quality, observability, lineage, cost efficiency, modernization, design review, incident response, documentation, and platform reliability; report team and delivery health to leadership.

Requirements

• 7+ years of experience in data engineering, including 3+ years directly managing or leading a team of data engineers.
• Deep hands-on production experience with Snowflake and Apache Airflow, including performance tuning, cost management, and workflow orchestration at scale.
• Experience working with distributed teams across time zones.
• Strong SQL and Python skills, with the ability to review or write pipeline code.
• Experience with dbt, Fivetran, Airbyte, or similar modern ELT tooling alongside Snowflake and Airflow.
• Professional experience using AI coding assistants or agentic tools such as Claude Code, GitHub Copilot, Cursor, or Snowflake CoCo in an engineering workflow.
• Track record of mentoring and developing engineers, including engineers more senior or specialized in a particular area.
• Working knowledge of data modeling, data governance, and data security and compliance practices.
• Excellent communication skills for translating technical tradeoffs into business terms and vice versa.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Nice to have

• Experience designing or operating agentic workflows, including LLM-driven pipeline monitoring, autonomous anomaly detection, RAG-based data catalogs or search, LangGraph, AutoGen, or MCP-based tooling.
• Background in ecommerce, SaaS, or marketplace data, including order, catalog, or customer data at scale.
• Experience building internal platforms or self-service tooling for analysts and engineers.
• Familiarity with cost governance and FinOps practices for cloud data platforms.

Culture & Benefits

• Remote-first work environment.
• Optional collaborative workspaces in Austin, Atlanta, and London for team gatherings, workshops, and in-person connection.
• Possible variable compensation, equity, and benefits according to local policies.
• Commitment to an inclusive and accessible hiring experience, with accommodations available throughout the process.

Hiring process

• Interview process includes government ID and biometric verification through Persona.
• Final compensation considers experience, skills, qualifications, geographic location, internal equity, and individual contribution.