
1001 - 5000 employés
Fondée en 2010
💳 Fintech
🛍️ eCommerce
🤝 B2B
💰 Venture Round en 2021-05
Fintech • eCommerce • B2B
Stripe est une plateforme d'infrastructure financière pour les entreprises. Des millions d'entreprises - des plus grandes entreprises mondiales aux startups les plus ambitieuses - utilisent Stripe pour accepter les paiements, accroître leur chiffre d'affaires et accélérer de nouvelles opportunités commerciales. Basée à San Francisco et à Dublin, la société vise à augmenter le PIB de l'internet.
🕒 il y a 2 mois
🗣️🇺🇸🇬🇧 Anglais requis
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1001 - 5000 employés
Fondée en 2010
💳 Fintech
🛍️ eCommerce
🤝 B2B
💰 Venture Round en 2021-05
Fintech • eCommerce • B2B
Stripe est une plateforme d'infrastructure financière pour les entreprises. Des millions d'entreprises - des plus grandes entreprises mondiales aux startups les plus ambitieuses - utilisent Stripe pour accepter les paiements, accroître leur chiffre d'affaires et accélérer de nouvelles opportunités commerciales. Basée à San Francisco et à Dublin, la société vise à augmenter le PIB de l'internet.
• Partner with the engineering teams, including Core Infra, Developer Infra, Data Platform, and Service Platform, to ship functionality that delights users, has the right balance of impact vs engineering cost, and makes a measurable impact on the business • Establish system and design principles for how we build, buy, and operate Seller Systems — ensuring we select the right long-term solutions, not short-term patches. • Guide architecture and investment decisions, weighing trade-offs between build vs. buy, modernization vs. extension, and platform vs. point solution to maintain a cohesive, sustainable ecosystem. • Interact with external users and propose critical infrastructure abstractions that best serve them • Validate product ideas and prototypes with early adopters • Define key success metrics for developer products • Work on infrastructure, API, data models/pipelines roadmaps • Work on internal AI agents for specific functions such as Recruiting, Legal etc. to aid productivity and great customer experience
• 7+ years of progressive experience in Product Management, ideally within an enterprise or B2B setting. • Demonstrated success in defining, launching, and scaling complex products from ideation to general availability in an enterprise environment. • Proven ability to manage diverse stakeholders (Engineering, Design, Sales, Marketing, Executive Leadership) and drive cross-functional alignment on product vision and prioritization. • Exceptional ability to map, analyze, and refine Customer User Journeys (CUJs) to identify high-value pain points and opportunities for AI solution deployment. • Highly data-driven approach to prioritization and decision-making, including the ability to define key performance indicators (KPIs), create product impact dashboards, and synthesize data into actionable product requirements. • A track record of leveraging qualitative (customer interviews) and quantitative (product usage data) insights to validate assumptions and drive product strategy. • Excellent written and verbal communication skills, with the ability to articulate complex technical concepts and product strategies clearly to both technical and non-technical audiences. • Hands-on experience developing and launching AI/ML-powered products or features for internal or external customers. • Robust functional and technical understanding of Large Language Models (LLMs) and common AI-based workflows (e.g., retrieval-augmented generation, fine-tuning, prompt engineering). • Prior experience working directly with LLMs or launching conversational AI agents into production. • Technical background (e.g., Computer Science degree or equivalent practical experience) that allows for deep engagement with engineering teams on technical trade-offs and architectural decisions.
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development
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