Product Manager - Personalized Outfitting & Algorithms

Stitch Fix

40d

About The Position

We build systems that learn continuously from client behavior and feedback, enabling experiences that feel intuitive, expressive, and human. Outfitting is core to how Stitch Fix delivers value — and we’re entering the next chapter of what it can be. As our Product Manager for Personalized Outfitting & Algorithms, you’ll shape how we bring outfits to life, integrate generative and agentic AI capabilities into our algorithms, and redefine how clients experience style in a personalized, dynamic, and expressive way. You’ll lead the vision, strategy, and execution for the next generation of our outfitting platform — one that seamlessly combines human intuition, trend understanding, and machine learning. You’ll also guide the evolution of our client profile ecosystem, ensuring we continuously learn, adapt, and refine each client’s style story. You’ll lay the groundwork for a new generation of outfitting capabilities — from defining the product vision and roadmap, to shaping the platform and experiences, to helping build and scale the team around this space over time. We’re looking for a PM who thrives in ambiguous, 0→1 problem spaces and has experience shaping and growing teams as the product needs evolve.

Requirements

You have 5–8+ years of product management experience, including owning complex, cross‑functional problem spaces.
You possess a deep understanding of data analytics and experience collaborating with Data Science and Engineering teams on ML/AI-powered systems or recommendation platforms
You have experience building from scratch: defining new product areas, laying foundations, and helping shape teams.
You bring strong product judgment — knowing when to push bold bets and when to focus on reliability and scale.
You are an excellent communicator who can align diverse stakeholders around a clear vision.
You are skilled in prioritization and stakeholder management, comfortable navigating differing opinions, setting expectations, and ensuring alignment across teams.
You have a track record of driving meaningful business and customer outcomes (e.g., engagement, conversion, retention).
You’re comfortable navigating ambiguity, prioritizing effectively, and making thoughtful tradeoffs.
You’re energized by Stitch Fix’s mission to help people look and feel their best through personalized discovery.

Nice To Haves

experience in ecommerce, fashion, or marketplace products
early‑stage product development
working alongside applied AI teams.

Responsibilities

Shape a category‑defining product strategy at the intersection of fashion, personalization, and technology.
Build something foundational — setting direction not just for a roadmap, but for a team and capability over time.
Work on problems that blend creativity, taste, data, and human judgment.
Partner with talented cross‑functional teams to turn ambiguity into impact.
Define a bold, client‑centric vision for outfitting as a core shopping paradigm — positioning Stitch Fix at the forefront of the future of ecommerce and apparel discovery.
Build and own a multi‑year strategy and roadmap that connects personalization, inventory, style expertise, and client feedback into cohesive outfit experiences.
Identify where emerging capabilities (e.g., generative and agentic systems) meaningfully enhance creativity, speed, and relevance.
Lay the product and platform groundwork to modernize our outfitting platform architecture for speed, configurability, and creative range
Partner with leadership to identify team needs and shape operating models as the space grows.
Establish clear product principles, success metrics, and decision frameworks to guide the team as it scales.
Design low‑friction ways for clients to express and refine their style over time — reducing explicit inputs while increasing signal quality.
Ensure client preferences, feedback, and behaviors are reflected consistently across experiences.
Enable downstream systems to act on real‑time client signals to improve relevance, confidence, and delight.
Partner closely with Data Science and Engineering to turn personalization capabilities into intuitive product experiences.
Enable downstream algorithmic systems to act on real-time client signals for improved personalization accuracy.
Balance experimentation with systemization — knowing when to explore new ideas and when to operationalize what works.
Define and track success metrics tied to client engagement, conversion, retention, and long‑term trust.
Act as the connective tissue across Product, Design, Engineering, Data Science, Merchandising, Styling, and Creative.
Communicate complex concepts through simple, compelling narratives that rally teams around a shared vision.