VP of Product

about us Brightpath Technologies is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for VP of Product to contribute to the development and enhancement of our AI-driven skin analysis products. job description What You'll Do: Own the PMF discovery cycle for Commerce: run structured customer discovery with CMOs, R&D directors and digital leads at CPG and life-sciences accounts; synthesize signal into hypotheses; kill what isn't working. Turn ambiguity into clarity — take fuzzy problems from key enterprise accounts and come back with a crisp problem statement, a prioritized experiment and a decision. 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; own the backlog end to end. Partner with GTM on sales-led discovery: join enterprise calls, shape pricing and packaging signals, build the feedback loop between deals and the roadmap. Design and run experiments on live product — A/B tests, staged rollouts, feature flags — and socialize learnings across the company. Work tightly with Engineering, Design, Data Science to ship iterative value without losing scientific rigor. What will help you thrive in this role: 7+ years in Product Management, with at least 2 years in enterprise B2B SaaS — sales-led motion, 6-figure ACVs. You've personally run a PMF cycle on a product that was already live but fuzzy — not just shipped features at a large org. You've sat in rooms with CMOs and R&D directors at CPG, beauty, or life-sciences companies (or closely adjacent regulated verticals) and understand how those buyers think and decide. Strong discovery and delivery fundamentals: PRDs, prioritization frameworks, outcome-based planning, stakeholder alignment. Analytical fluency: defining metrics, reading product analytics, 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, vibe-coding. why us? Competitive compensation based on experience and skills. Fully remote, with flexibility across EU and UK time zones Paid time off and a company-issued laptop Collaborative, genuinely supportive team that ships Direct impact on product and company growth Room to grow at the intersection of AI, science, and beauty Originally posted on Himalayas