Enterprise Account Executive, Retail Solutions

🕒 2 dias atrás

🦌 Connecticut, New Jersey, +2 estados a mais – Remoto

🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote

💵 $140.000 - $180.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💼 Executivo de Contas

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

UiPath

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2005

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

A UiPath é uma plataforma líder de automação empresarial, especializada em Automação Robótica de Processos (RPA) e Inteligência Artificial (IA) para simplificar tarefas repetitivas e elevar a eficiência operacional. Ao aproveitar tecnologias avançadas de IA, a UiPath permite que empresas de diversos setores automatizem seus fluxos de trabalho, para que possam focar em iniciativas mais estratégicas. Suas soluções capacitam as organizações a aumentar a produtividade, reduzir custos e transformar processos de negócios por meio de automação inteligente.

Descrição

• Bring new retail customers to UiPath and grow Retail Solutions revenue through net new logos • Find and develop new enterprise retail accounts across US retail • Run discovery to understand retailer problems and connect them to measurable business outcomes • Build pipeline through networking, cold calls, email, social selling, and events • Own the full consultative sales cycle from discovery and solution design through negotiation and close • Lead value-based selling around pricing, promotions, markdowns, inventory allocation, and replenishment • Create tailored solution frameworks connecting Peak AI capabilities to margin expansion, sell-through, inventory costs, and pricing discipline • Build and present ROI narratives and business cases to retail executives • Work with Solution Engineering and Data Insights to run pre-sales motions and co-create customer solutions • Partner with Marketing on retail-focused campaigns and qualify resulting leads • Structure and negotiate value-based enterprise agreements • Develop relationships with regional and global SIs and ecosystem partners • Maintain accurate weekly, monthly, and quarterly forecasts and manage complex, multi-stakeholder pipelines

🎯 Requisitos

• 3+ years of enterprise SaaS sales experience in complex, multi-stakeholder sales cycles, with an emphasis on the Retail industry • Consistent record of exceeding quota in new logo acquisition, particularly with mid-sized and large enterprises • Direct experience selling to retailers and understanding of retail merchandising, pricing strategy, margin drivers, and inventory management • Experience selling pricing, revenue optimization, inventory, supply chain, or related analytics/AI solutions • Ability and drive to create your own pipeline • Strong consultative selling skills, including discovery, problem framing, and value articulation • Ability to engage and influence senior executives and act as a trusted advisor • Training in customer-centric sales methodologies (MEDDPICC, Force Management, or similar) • Experience working with SI and partner networks during the sales cycle • Strong collaboration with Solution Engineering, Product, Marketing, Partners, and Customer Success • Willingness to travel up to 50% for prospect and customer meetings, partner engagements, and retail industry events • Authorization to work in the United States • Understanding of advanced analytics, machine learning, and/or AI, with ability to connect technical capabilities to financial results • Experience selling into retail pricing transformation, merchandising, or commercial excellence initiatives • Comfort leading ambiguous, discovery-driven sales cycles • Skill at turning data and insights into compelling business cases and executive narratives • Existing network across US retail merchandising, pricing, and planning leadership

🏖️ Benefícios

• Equity • Flexible work arrangements, varying by team and business needs • Reasonable accommodations for candidates on request