Job Description
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The job is a remote job and is open to candidates in USA. Stitch Fix is the leading online personal styling service that helps people discover styles they love. The Product Manager for Outfitting & Evolved Algorithms will shape the outfitting platform, integrating AI capabilities to enhance personalized styling experiences. Responsibilities • Define and Drive the Outfitting Product Strategy • Develop a bold vision and roadmap for the future of outfitting — leveraging Stitch Fix’s unique strengths in personalization, inventory, and style expertise • Evolve our Outfitting Platform to incorporate generative and agentic AI capabilities across Merch, Style, and Trend, creating dynamic, client-relevant outfits at scale • Partner with Design, Data Science, and Engineering to modernize our outfitting platform architecture for speed, configurability, and creative range • Define success metrics that tie directly to client delight, engagement, and conversion • Lead Profile Evolution & Experience Integration • Design seamless, low-friction ways to update and evolve client preferences — reducing manual data capture and ensuring our models stay attuned to each client’s style • Partner with Onboarding, Vision AI, and CRM teams to connect data capture to client experiences, ensuring preferences, feedback, and outfits stay in sync • Enable downstream algorithmic systems to act on real-time client signals for improved personalization accuracy • Shape the Evolved Algos Product Strategy • Define the north star vision for how Stitch Fix’s next-generation algorithms evolve — blending classical ML with generative, agentic, and trend-aware systems • Translate the company’s Evolved Algos Charter into concrete product capabilities and executional priorities • Serve as a bridge between algorithmic innovation and client impact, ensuring the work translates into tangible business and user value • Collaborate Across the Ecosystem • Partner closely with Merchandising, Creative, and Styling to ensure our outfit generation systems reflect brand, aesthetic, and trend sensibility • Work with AI Platform, Engineering, and Data Science to deliver scalable infrastructure that powers millions of personalized outfit experiences • Act as the voice of the client and stylist, ensuring every algorithmic decision ladders up to better client outcomes Skills • 5-8 years of product management experience, with a strong focus on data science, machine learning, and recommendation systems • Deep understanding of data analytics and experience collaborating with Data Science and Engineering teams on ML/AI-powered systems or recommendation platforms • Strong product sense — know when to lean into experimentation and when to systematize • Excellent communicator who can rally diverse teams around a shared vision • Proven ability to translate complex algorithmic or ML concepts into simple, client-centric product narratives • Strategic thinker who can synthesize customer needs, industry trends, and company objectives to create a compelling vision and a long-term strategy for Outfitting and Algorithms • Repeated success in driving conversion, engagement, or retention by leading major product initiatives, driving cross-functional teams, and delivering meaningful customer value • Skilled in prioritization and stakeholder management, comfortable navigating differing opinions, setting expectations, and ensuring alignment across teams • Bonus points for experience in eCommerce recommendation systems • Early-stage product development • Obsessing over the cutting edge of Generative AI Benefits • Medical • Dental • Vision • Annual bonus • New hire and ongoing grants of restricted stock units Company Overview • Stitch Fix is a personal styling platform that delivers curated and personalized apparel and accessory items for women.
It was founded in 2011, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is Company H1B Sponsorship • Stitch Fix has a track record of offering H1B sponsorships, with 18 in 2025, 18 in 2024, 17 in 2023, 45 in 2022, 34 in 2021, 30 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job