Resumo da vaga

Enterprise Account Executive

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Prospect and Generate Leads: Identify and target enterprise-level prospects in industries such as tech, finance, healthcare, and e-commerce. Leverage tools like LinkedIn, CRM systems (e.g., Salesforce), and industry events to build a robust pipeline
  • Build Strategic Relationships: Engage with C-level executives, CTOs, and AI decision-makers to understand their pain points and tailor OpenRouter solutions to meet their needs.
  • Drive Sales Cycles: Manage the full sales process from initial outreach to contract negotiation and closing, including demos, proposals, and ROI analyses.
  • Collaborate Cross-Functionally: Work closely with product, engineering, and customer success teams to ensure seamless implementation and customer satisfaction post-sale.
  • Achieve Targets: Meet or exceed quarterly and annual revenue quotas, with a focus on multi-year contracts and upsell opportunities.
  • Market Intelligence: Stay abreast of AI trends, competitive landscapes, and regulatory changes to inform sales strategies and provide feedback to the product team.
  • Travel: Attend industry conferences, client meetings, and networking events (up to 30% travel required).
  • 7+ years of B2B SaaS or platform sales experience, with a strong focus on enterprise accounts.
  • Proven track record closing six- and seven-figure enterprise deals.
  • Experience selling technical or infrastructure products (AI/ML platforms, developer tools, cloud, data, or APIs preferred).
  • Ability to sell to both technical buyers and executive decision-makers.
  • Comfort operating in ambiguity and helping customers define new categories or use cases.
  • Strong business acumen around pricing, contracts, and enterprise buying processes.
  • Highly self-directed, collaborative, and outcomes-oriented.
  • Experience selling AI, ML, or developer-first products.
  • Familiarity with LLM ecosystems (OpenAI, Anthropic, Google, open-source models).
  • Experience working with global or multi-region enterprise customers.
  • Prior startup or high-growth company experience.
  • Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs.
  • Sell a product with clear, tangible ROI: cost efficiency, scalability, flexibility, and innovation velocity.
  • High ownership and visibility with direct impact on company growth.
  • Competitive compensation, including base salary, commission, and equity.
  • Fully remote team with a strong culture of autonomy and trust.
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