Lead Data Engineer & Modeler, Ai - Hybrid

Commerce

Austin, TX, United States
$116,000-$174,000 py
Hybrid
Ai/ml platform strategy
Scalable systems for model training
Data ingestion and feature stores
As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market

Job Summary

  • As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market.
  • You’ll define and scale the systems that make this transformation possible, sitting at the intersection of data engineering, MLOps, and applied AI enablement, responsible for building the secure, scalable, and high-performance infrastructure that supports AI/ML use cases across the company.
  • You’ll play a critical role in shaping how BigCommerce operationalizes AI — not just as a feature, but as a platform capability.

Matching Summary

As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market.

Salary

$116,000-$174,000

Skills & Requirements

Must-have

  • AI/ML platform strategy
  • scalable systems for model training
  • data ingestion and feature stores
  • MLOps CI/CD implementation
  • platform reliability and observability
  • GPU/TPU resource management
  • integrating LLMs and vector databases

Nice-to-have

  • bold builders, sharp thinkers, technical trailblazers
  • shaping the future of commerce
  • enabling intelligence through infrastructure
  • operationalizing AI across SaaS platform

Key Requirements

  • 7+ years in data or ML engineering
  • production-grade AI infrastructure design
  • Cloud AI platforms (Vertex AI, SageMaker, Bedrock)
  • Orchestration frameworks (Airflow, Kubeflow, MLflow)
  • Cloud data stacks (BigQuery, Snowflake, GCS/S3, Terraform)
  • Model serving tools (FastAPI, BentoML, Ray Serve)
  • Proficient in Python, SQL, and Git-based CI/CD
  • Familiarity with Kubernetes, Docker, and Terraform

Work Rights

Not specified

Tailored Resume

Cover Letter