Account Executive, Model AI API

Meta is seeking a Solution Sales Manager 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.

• 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
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience converting pilots into paid production deployments, expanding usage across workloads, and building customer-specific return-on-investment or total-cost-of-ownership analyses
• 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
• Experience selling generative AI, large language model APIs, AI infrastructure, or consumption-based cloud and developer platforms
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience working with AI-native companies, independent software vendors, or enterprise teams integrating AI into customer-facing products or internal workflows
• Experience building sales playbooks for emerging products, collaborating across functions in ambiguous environments, and using AI tools to improve research, outreach, and account planning