Account executive for Model AI API

Meta; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Meta ищет менеджера по продажам решений для помощи бизнесу в создании и масштабировании AI‑производительных продуктов через Muse Spark AI API. Вы будете работать с AI‑native компаниями, софтверными провайдерами и enterprise‑клиентами, выявлять кейсы, направлять оценки моделей и превращать успешные пилоты в платящих клиентов и устойчивое потребление API.

Задачи включают разработку планов по территориям и аккаунтам, приоритетизацию возможностей на основе потребностей клиентов и производительности

Qualifications

• Опыт продаж решений в области AI/генеративного ИИ и API.
• Опыт работы с несколькими стейкхолдерами (исполнительные лица, инженеры, закупки).
• Опыт ведения планирования аккаунтов, прогнозирования и анализа данных.

Responsibilities

• Разрабатывать и реализовывать планы по территориям и аккаунтам для привлечения новых клиентов и расширения отношений.
• Вести цикл продаж от квалификации до коммерческого заключения и расширения.
• Достижение целей по выручке и потреблению API, с фокусом на внедрении AI в производство.
• Строить отношения с основателями, CTO и руководителями AI/инженерии.

Skills

8+ лет B2B продаж в технике

Владение целями продаж

Управление циклами продаж

Преобразование технических преимуществ

Сотрудничество с архитектами решений

Планирование аккаунтов и прогнозы

Продажи AI/генеративного AI

LLM-паттерны и экономика токенов

AI в продуктах/процессы клиентов

Пилоты → продакшн

Sales playbooks

Этичный подход к AI

Education

Бакалавр или эквивалент

Job description

Описание

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.

Задачи

• Develop and execute territory and account plans to acquire new customers and expand existing relationships.
• Prioritize opportunities based on customer needs, model fit, production readiness, and potential for paid API consumption
• Own the sales cycle from targeted outbound and inbound qualification through discovery, evaluation, commercial conversion, and expansion.
• Deliver against revenue and consumption goals, with a focus on customers putting AI into production
• Build relationships with founders, CTOs, AI and engineering leaders, product executives, and business decision-makers.
• Develop technical champions and executive sponsors, and align the stakeholders involved in a purchase
• Lead consultative discovery to understand customers' AI applications, model stack, workloads, buying process, and success criteria.
• Develop business cases that connect model quality, latency, throughput, and total cost of ownership to customer outcomes
• Partner with Solutions Architect and Partner Engineering to scope evaluations and proof-of-concept engagements.
• Establish joint action plans with measurable success criteria, milestones, owners, and a clear path to paid production usage
• Guide customers through approved commercial and onboarding paths. Coordinate with technical, operations, finance, and legal partners to address integration, billing, procurement, security, and data-handling questions, and elevate blockers to the appropriate owners
• Grow consumption by identifying additional workloads, applications, and teams within customer accounts.
• Partner with technical and customer-facing teams to support adoption and recognize usage trends that create expansion opportunities or signal risk
• Maintain accurate CRM records, pipeline reporting, and revenue and consumption forecasts.
• Quantify opportunity potential using customer workload assumptions, expected adoption, usage patterns, and commercial milestones
• Collaborate with Business Development and channel teams where relevant to customer needs and supported routes to market.
• Coordinate account ownership and handoffs, and engage the appropriate partners for strategic or distribution opportunities
• Capture customer feedback, evaluation outcomes, competitive insights, and adoption barriers to inform product priorities and go-to-market decisions.
• Turn customer learnings into reusable discovery guides, value propositions, evaluation playbooks, and enablement resources use AI tools and automation to improve sales productivity

Требования

• 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 selling generative AI, large language model APIs, AI infrastructure, or consumption-based cloud and developer platforms;
• Understanding of LLM application patterns and evaluation trade-offs, including agents, retrieval-augmented generation, coding workflows, summarization, model routing, and token-based economics;
• Experience working with AI-native companies, independent software vendors, or enterprise teams integrating AI into customer-facing products or internal workflows;
• 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 building sales playbooks for emerging products, collaborating across functions in ambiguous environments, and using AI tools to improve research, outreach, and account planning;
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements);
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews);
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Условия

In addition to base compensation, Meta offers benefits.