Enterprise Services Manager, Professional Services Sales

🕒 il y a 21 jours

☕ Washington – Distant

☕ Washington – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🤑 Commercial

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Stripe

Site WebLinkedInTous les Emplois

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.

Description

• Own Professional Services bookings, pipeline creation, qualification, and forecasting across assigned strategic enterprise accounts. • Partner with Account Executives and Solutions Architects on account plans and services strategy. • Engage in complex opportunities to shape customer value propositions and implementation paths. • Build forecasts, close plans, and stakeholder maps for complex sales cycles. • Identify follow-on advisory, implementation, and transformation opportunities. • Lead executive discovery sessions, assessments, and workshops. • Understand customer objectives, technical architecture, operating model, and implementation constraints. • Translate requirements into services approaches covering scope, assumptions, dependencies, milestones, risks, success measures, and activation plans. • Create proposals, pricing approaches, and Statements of Work. • Lead commercial negotiations with customers, procurement, legal, and internal partners. • Manage scope, resourcing, dependencies, implementation risk, and expectations before delivery. • Prepare delivery teams for kickoff and maintain continuity through early delivery. • Partner with Customer Success, Delivery, and Support to drive activation, adoption, and expansion. • Surface enterprise customer insights to Product and Engineering. • Contribute to repeatable sales plays, service offerings, tools, and best practices. • Use AI-enabled tools responsibly for account research, solutioning, documentation, forecasting, and delivery visibility.

🎯 Exigences

• 5+ years of experience selling Professional Services, consulting, implementation, managed services, or complex technology solutions to enterprise customers. • A track record of originating, shaping, and closing sizable services or transformation engagements. • Experience owning a services sales cycle from discovery through proposal, SOW development, negotiation, contract signature, and delivery handoff. • Experience leading executive-level discovery, workshops, assessments, or business-case conversations. • Ability to understand complex business and technical requirements and translate them into an executable services approach. • Experience partnering effectively with Account Executives, Solutions Architects, delivery teams, Product, Engineering, and external partners. • Strong commercial judgment across scope, pricing, assumptions, dependencies, risks, resourcing, and customer expectations. • Working knowledge of APIs, integrations, cloud-based platforms, data flows, and enterprise implementation considerations. • Ability to manage competing priorities, navigate ambiguity, and maintain a rigorous pipeline and forecast. • Comfortable discussing AI-related impacts on data readiness, integrations, security, privacy, governance, adoption, and implementation sequencing. • Preferred: Experience in payments, fintech, financial infrastructure, billing, marketplaces, money movement, fraud, risk, or digital commerce. • Preferred: Experience selling to senior product, engineering, finance, operations, security, or technology leaders. • Preferred: Experience with enterprise integrations, cloud adoption, APIs, platform implementations, data modernization, or digital transformation programs. • Preferred: Experience selling packaged, phased, outcome-oriented, or partner-delivered services. • Preferred: Familiarity with AI-enabled software or automation. • Preferred: Experience in a high-growth technology company, cloud provider, enterprise SaaS company, consulting firm, or systems integrator.