[Hiring] Director, Data & AI/ML Platform Engineering @Stitch Fix

Role Description

At Stitch Fix, data and AI are not supporting functions - they are the product. Every styling recommendation, merchandising decision, inventory bet, and client interaction is shaped by the platforms this role leads.

We are looking for a Director of Data & AI/ML Platform Engineering to lead the engineering organization responsible for three interconnected platform areas:

• The enterprise data platform that ingests, stores, and makes data queryable at scale.
• The machine learning platform that enables data scientists and engineers to build, train, and serve models in production.
• The generative AI platform that provides the runtime, routing, and integration infrastructure for AI agents and LLM-powered applications across the company.

This is a product leadership role as much as it is an engineering leadership role. Your users span the full range of the company - from engineers and data scientists building models and AI applications, to analysts and business partners across every function who are running self-serve analytics, investigating data, and building AI-assisted workflows to do their work.

Your job is to understand what each of these user groups needs, set a compelling product vision for each platform area, and drive execution all the way through - from roadmap through adoption.

You will make the consequential architectural decisions that shape how the company builds with data and AI for years. You will own the modernization agenda, manage the trade-offs between speed and stability, and communicate both the strategy and the stakes to stakeholders from engineering peers to the executive team.

Responsibilities

• Data infrastructure at scale: The systems that ingest, store, and make data accessible across the company.
• Machine learning platform: The infrastructure that enables data scientists and engineers to build, experiment, and serve models in production at speed.
• Generative AI platform: The platform that enables teams across the company to build, deploy, and govern AI agents and GenAI-powered applications.
• The next generation of personalization and decisioning: Foundational platform work behind the company's highest-priority strategic initiatives.

Qualifications

• 10+ years in software, data, or ML/AI platform engineering.
• 5+ years leading engineering managers or multi-team platform organizations.
• Track record of owning and evolving production-grade platform systems at scale.
• History of making and landing consequential architectural decisions in complex, high-availability environments.

Requirements

• Hands-on experience with distributed compute and storage (Spark, Trino/Presto, Apache Iceberg or Delta Lake).
• Experience with event streaming (Kafka, Flink) and workflow orchestration (Airflow).
• Knowledge of feature engineering and feature stores, model training pipelines, and model deployment and serving.
• Experience with LLM orchestration frameworks and agent architectures.
• Experience building internal developer platforms (IDPs) and self-service tooling.
• Distributed systems design and cloud infrastructure at scale (AWS preferred).

Benefits

• Competitive salary, benefits, and equity.
• Eligible for an annual bonus and ongoing grants of restricted stock units.
• Medical, dental, vision, and other benefits.

Salary Range

$213,000 — $284,000 USD