Manager, Data & AI Platform Engineering

About Stitch Fix, Inc.

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.

About The Role

We’re hiring a Manager, Data & AI Platform Engineering to lead the organization that manages Stitch Fix’s engineers on our core data, machine learning, and generative AI platforms. You will contribute towards delivering on the vision and drive the technical execution for the systems that make AI-powered, data-driven experiences possible across the company - enabling richer personalization, better decision-making, intelligent automation and, and enterprise-wide innovation.

You will help evolve our technical foundation to support next-gen AI use cases - unified signals, dynamic and context-aware models, semantic understanding, retrieval-based intelligence, and evolved ML workflows.

What You'll Do

• Lead in a player-coach capacity in 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.
• Contribute towards 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 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.
• Contribute towards improving 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.

What We're Looking For

Experience:

• 5+ years in software, data, ML, or platform engineering; 1+ years leading engineering individual contributors is a plus.
• Demonstrated success contributing towards large-scale data platforms, ML platforms, or AI/GenAI platforms in cloud environments.
• Experience delivering platform modernization, unification, and multi-year architectural transformation.

Technical Expertise:

• 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.
• Track record operating and evolving modern data infrastructure, including some of the following: distributed compute and storage technologies (Spark, Trino, Iceberg), real-time processing frameworks (Kafka/Flink), metadata / catalog systems, and Kubernetes-based orchestration.
• 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.

Leadership Skills:

• Strategic thinker able to align platform investments with business priorities and emerging AI opportunities.
• Potential to be a strong people leader with a track record of contributing to make inclusive, high-performing engineering teams.
• Excellent communicator who can influence both technical and business stakeholders across domains.

Why You'll Love Working at Stitch Fix

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

Compensation And Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. 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. Applicants should apply via our internal or external careers site.

Salary Range

$146,300—$195,000 USD

Key skills/competency

• Data Platform
• AI Platform
• ML Engineering
• Generative AI
• Cloud Environments
• Distributed Systems
• MLOps
• Data Governance
• APIs
• Spark