8 авг

product lead for enterprise beautytech

ориентир по рынку
вакансия зп не указана
в среднем 367 917 ₽
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описание

Haut.AI is a BeautyTech startup developing personalized skincare solutions by combining scientific research with artificial intelligence. The company serves the beauty and life-sciences markets and is backed by leading European VCs.

задачи

  • Own the PMF discovery cycle for Commerce through structured customer discovery with CMOs, R&D directors, and digital leads at CPG and life-sciences accounts;
  • Synthesize customer signals into hypotheses and stop initiatives that are not working;
  • Turn ambiguous enterprise-account problems into clear problem statements, prioritized experiments, and decisions;
  • Define and defend the product roadmap as explicit bets with hypotheses, timelines, and success metrics tied to company OKRs;
  • Write PRDs that Engineering and Data Science can act on and own the backlog end to end;
  • Partner with GTM on sales-led discovery, join enterprise calls, shape pricing and packaging signals, and connect deals with the roadmap;
  • Design and run live-product experiments, including A/B tests, staged rollouts, and feature flags;
  • Share experiment learnings across the company;
  • Work with Engineering, Design, and Data Science to ship iterative value while maintaining scientific rigor;
  • Lead the charge in revolutionizing skincare with AI.

требования

  • 7+ Years of experience in Product Management;
  • At least 2 years of experience in enterprise B2B SaaS with a sales-led motion and 6-figure ACVs;
  • Proven experience managing products for the US market;
  • Personally ran a PMF cycle on a live but ambiguous product, rather than only shipping features at a large organization;
  • Experience working with CMOs and R&D directors at CPG, beauty, life-sciences, or closely adjacent regulated companies;
  • Strong discovery and delivery skills, including PRDs, prioritization frameworks, outcome-based planning, and stakeholder alignment;
  • Analytical fluency in defining metrics, reading product analytics, and designing and interpreting experiments;
  • Impeccable written and verbal English;
  • Comfortable operating as a player-coach in a fast-moving, low-process environment;
  • Strong hands-on command of LLM/AI tooling and vibe-coding.

условия

  • No conditions specified

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