Account Executive, Model AI API (Singapore)

Meta

Singapore

Presencial

SGD 150.000 - 190.000

Jornada completa

Hace 6 días
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Descripción de la vacante

Meta is seeking an Account Executive to help businesses build and scale AI-powered products using the Muse Spark AI API. You will own customer relationships from prospecting through conversion and expansion, partnering with Solutions Architects, Product, Marketing, and Engineering to drive adoption and sustained API consumption.

This role requires 8+ years in B2B technology sales, experience managing complex deals, and the ability to translate AI capabilities into business value for both

Formación

  • 8+ years of B2B technology sales experience selling enterprise software, cloud platforms, developer tools, or API-based products.
  • Experience owning a sales target and meeting or exceeding revenue or consumption goals through new customer acquisition and account expansion.
  • Experience managing sales cycles and complex agreements with multiple stakeholders, including executives, engineering, and procurement.
  • Experience translating technical capabilities into business value and presenting to both technical and non-technical audiences.
  • Experience partnering with Solutions Architects, Sales Engineers, or equivalent technical teams.
  • Experience developing account plans, managing pipeline, and using data to prioritize opportunities and assess risk.
  • Bachelor's degree or equivalent practical experience.
  • Experience adhering to responsible, ethical AI practices and integrating AI tools to improve research, outreach, and planning.
  • Experience converting pilots into paid deployments and expanding usage across workloads.

Responsabilidades

  • Own customer relationships from prospecting through commercial conversion and expansion.
  • Partner with cross-functional teams to guide model evaluations and move pilots to production.
  • Translate AI capabilities into measurable business value and drive adoption across workloads.
  • Build repeatable sales motions and account plans for enterprise AI products.

Conocimientos

B2B tech sales
Enterprise software
Sales target ownership
Stakeholder management
Technical storytelling
AI product knowledge
Cross-functional collaboration
Contract negotiations
Solution selling
Forecasting & pipeline management

Educación

Bachelor’s degree or equivalent

Descripción del empleo

Meta is seeking an Account Executive to help businesses build and scale AI-powered products with the Muse Spark AI API. You will work with AI-native companies, software providers, and enterprise customers to identify high-value use cases, guide model evaluations, and turn successful trials into paying customers and sustained API consumption.

This role combines enterprise sales expertise, technical fluency, and a builder mindset. You will own customer relationships from prospecting through commercial conversion and expansion, partnering with Solutions Architects, Partner Engineering, Product, Marketing, Engineering, Operations and other cross-functional teams to help customers move from evaluation to production. You will also bring customer insights back to Meta and help build a repeatable sales motion for a rapidly evolving AI market. We are looking for someone who can earn the trust of technical and business leaders, translate model capabilities into measurable business value, and deliver results in an environment where the playbook is still being built.

Qualifications & Experience
  • 8+ years of B2B technology sales experience, including selling enterprise software, cloud platforms, developer tools, or API-based products
  • Experience owning a sales target and meeting or exceeding revenue or consumption goals through new customer acquisition and account expansion
  • Experience managing sales cycles and complex agreements involving technical evaluation and multiple stakeholders, including executive sponsors, engineering teams, and procurement
  • Experience translating technical capabilities into business value and presenting to both technical and non-technical audiences
  • Experience partnering with Solutions Architects, Sales Engineers, or equivalent technical teams to advance customer evaluations and adoption
  • Experience developing account plans, managing and owning pipeline and forecasts, and using data to prioritize opportunities and assess risk
  • Bachelor's degree or equivalent practical experience
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience building sales playbooks for emerging products, collaborating across functions in ambiguous environments, and using AI tools to improve research, outreach, and account planning
  • Experience converting pilots into paid production deployments, expanding usage across workloads, and building customer-specific return-on-investment or total-cost-of-ownership analyses
  • Experience working with AI-native companies, independent software vendors, or enterprise teams integrating AI into customer-facing products or internal workflows
  • Experience selling generative AI, large language model APIs, AI infrastructure, or consumption-based cloud and developer platforms
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Understanding of LLM application patterns and evaluation trade-offs, including agents, retrieval-augmented generation, coding workflows, summarization, model routing, and token-based economics
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