Stitch Fix

Director, Data – AI Platform Engineering

Stitch Fix

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $170,300 - $284,000 per year

Job Level

Lead

Tech Stack

CloudDistributed SystemsKafkaKubernetesPyTorchRaySpark

About the role

  • Lead the strategy and execution for Stitch Fix’s next-gen Data, ML, and GenAI platforms - building a unified, secure and scalable architecture for semantic search, retrieval-based intelligence, multi-model orchestration, and agent automation, while operationalizing GenAI through safe, performant, and production-ready systems that power real-world client and employee experiences.
  • Drive modernization of data and ML foundations to support unified signals, adaptive models, experimentation velocity, and scalable AI/ML workloads.
  • Provide foundational APIs, SDKs, frameworks, and self-service tools that make it easy for data scientists, ML engineers, analysts, and application teams to build and deploy AI solutions quickly, safely, and at scale.
  • Partner with Data Science, Engineering, and Product teams to translate Data/ML/GenAI platform capabilities into production-grade features and intelligent experiences that deliver measurable business value.
  • Drive responsible, enterprise-wide AI and data adoption by creating reusable templates, documentation, and enablement programs, and by partnering closely with technology and business teams to identify and prioritize high-impact opportunities for personalization, automation, and intelligence.
  • Establish strong governance practices including data contracts, lineage, metric definitions, access policies, and responsible AI guardrails - for trust, safety, and compliance.
  • Ensure operational excellence through platform reliability, performance, observability, cost efficiency, and simplification of legacy systems.
  • Lead and develop high-performing engineering teams fostering a culture of clarity, excellence, and trust.
  • Balance speed of innovation with platform stability, ensuring engineering efforts are tightly aligned to business priorities and long-term client value.

Requirements

  • 10+ years in software, data, ML, or platform engineering; 5+ years leading engineering managers or multi-team platform groups.
  • Demonstrated success owning large-scale data platforms, ML platforms, or AI/GenAI platforms in cloud environments.
  • Experience driving platform modernization, unification, and multi-year architectural transformation.
  • Strong software engineering foundation, with experience designing and building large-scale distributed systems and resilient, high-quality APIs and services using modern programming languages and cloud-native architectures.
  • Strong track record operating and evolving modern data infrastructure, including distributed compute and storage technologies (Spark, Trino, Iceberg), real-time processing frameworks (Kafka/Flink), metadata / catalog systems, and Kubernetes-based orchestration.
  • Deep expertise across the ML lifecycle - feature engineering, training pipelines, model deployment and serving, monitoring, validation, fine-tuning, and MLOps best practices.
  • Proven capability in building self-service platform abstractions and tooling that enable teams to develop, experiment, and deploy data and ML products efficiently.
  • Experience with modern GenAI architectures - semantic retrieval, knowledge-grounded indexing, LLM orchestration, agent workflows, and evaluation frameworks.
  • Familiarity with modern ML frameworks like PyTorch and Ray is a plus.
  • Strategic thinker able to align platform investments with business priorities and emerging AI opportunities.
  • Strong people leader with a track record of building inclusive, high-performing engineering teams.
  • Excellent communicator who can influence both technical and business stakeholders at all levels.
Benefits
  • This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance.
  • In addition, the position is eligible for medical, dental, vision, and other benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringmachine learningplatform engineeringcloud environmentsdistributed systemsAPIsdata infrastructureMLOpsGenAI architecturesmodern programming languages
Soft skills
leadershipstrategic thinkingcommunicationteam buildinginfluencecollaborationoperational excellenceinnovationtrustclarity