
eCommerce • Retail • Artificial Intelligence
Stylitics is a company that specializes in providing advanced AI-driven solutions to inspire shoppers and enhance brand loyalty for retailers. They offer innovative services such as AI Styling, Visual Shopping, and personalized product recommendations that create inspirational commerce experiences. Their technology helps retailers deliver unique, engaging shopper journeys and stylish product bundling that boosts sales and customer loyalty. Stylitics partners with global retailers to elevate the shopper experience, facilitating personalized inspiration for millions of shoppers every month, and delivering significant ROI and increased conversion rates.
51 - 200 employees
Founded 2011
🛍️ eCommerce
🛒 Retail
🤖 Artificial Intelligence
💰 $80M Series C on 2022-03
November 10
🇺🇸 United States – Remote
💵 $150k - $180k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
✅ Product Manager
🦅 H1B Visa Sponsor

eCommerce • Retail • Artificial Intelligence
Stylitics is a company that specializes in providing advanced AI-driven solutions to inspire shoppers and enhance brand loyalty for retailers. They offer innovative services such as AI Styling, Visual Shopping, and personalized product recommendations that create inspirational commerce experiences. Their technology helps retailers deliver unique, engaging shopper journeys and stylish product bundling that boosts sales and customer loyalty. Stylitics partners with global retailers to elevate the shopper experience, facilitating personalized inspiration for millions of shoppers every month, and delivering significant ROI and increased conversion rates.
51 - 200 employees
Founded 2011
🛍️ eCommerce
🛒 Retail
🤖 Artificial Intelligence
💰 $80M Series C on 2022-03
• Define Product Vision & Strategy: Identify where AI can solve real user problems and craft a product vision that aligns with market needs and Stylitics’ goals. Decide how to measure success and handle uncertainty in model performance. • Engage with Clients and Shoppers: You will be interacting directly with senior executives at the worlds largest Brands and Retailers to pitch new products, explain operational details and answer tough questions that could range from technical to creative to legal. You will also be expected to build empathy for shopper behavior and UX patterns. • Own the Roadmap & Execution: Prioritize features, write clear product requirements, and drive delivery of AI products (image generation, video generation, attribution, etc.). Coordinate complex processes to balance speed, quality, and cost. • Collaborate Across Functions: Act as the translator between data scientists, engineers, designers, and business leaders. Ensure everyone understands technical constraints and business outcomes, and facilitate decisions around trade‑offs (accuracy vs. cost, automation vs. human review). • Ensure Data & Model Integrity: Work with engineering to define QA rubrics and metrics to ensure deliverables meet brand standards and deliver inclusive, photorealistic results. • Prototype & Iterate Quickly: Build scrappy MVPs, run A/B tests, and refine prompt engineering and context management for LLM integrations. Accept throwaway work to learn how to scale and improve. • Drive Go‑to‑Market Plans: Collaborate with marketing and sales to position the product, test pricing hypotheses, and craft a GTM strategy. Define value metrics like conversion lift, PDP engagement, and time‑to‑asset to anchor pricing models. • Measure & Learn: Define key performance indicators and monitor system behavior over time. Implement dashboards that track adoption, throughput, quality, and margin. Apply probabilistic thinking to handle the inherent uncertainty of AI systems
• 5+ years in product roles with at least one 0→1 product launch. Experience with AI/ML products or data‑driven systems is critical. • You can design experiments, evaluate model performance, and speak fluently about context engineering, RAG pipelines, and multimodal models. You don’t need to code daily, but you can dissect technical proposals and make informed trade‑offs. You have the capability to communicate clearly and quickly with rapid prototypes from tools such as V0, Figma Make or Cursor. • High velocity and bias toward action. You ship iteratively, balance perfection with speed, and take ownership from concept through launch and iteration. • Ability to translate technical details into business outcomes. Comfort managing stakeholders across engineering, design, operations, and client teams. • Strong analytical mindset; you design experiments, interpret results, and use data to influence decisions. Familiarity with SQL and schema design is a plus. • Deep empathy for retailers and shoppers; you ensure AI‑generated content reflects brand values and aesthetics.
• Lots of greenfield opportunities. You'll shape new products while also integrating with existing platform • Ownership and autonomy. You'll influence product direction and see your work in production quickly • Flexible remote-first culture with optional NYC office collaboration • Be part of defining how AI transforms fashion and e-commerce
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