Location
London

Hours
Full Time

Salary
Negotiable

About the Role
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.

Key responsibilities include developing and executing territory and account plans to acquire new customers and expand existing relationships; prioritizing opportunities based on customer needs, model fit, production readiness, and potential for paid API consumption; owning the sales cycle from targeted outbound and inbound qualification through discovery, evaluation, commercial conversion, and expansion; and delivering against revenue and consumption goals with a focus on customers putting AI into production.

You will build relationships with founders, CTOs, AI and engineering leaders, product executives, and business decision-makers; develop technical champions and executive sponsors; lead consultative discovery to understand customers' AI applications, model stack, workloads, buying process, and success criteria; and develop business cases connecting model quality, latency, throughput, and total cost of ownership to customer outcomes.

Partnering with Solutions Architects and Partner Engineering, you will 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. You will 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 escalate blockers as needed.

Additional responsibilities include growing consumption by identifying additional workloads, applications, and teams within customer accounts; supporting adoption and recognizing usage trends that create expansion opportunities or signal risk; maintaining accurate CRM records, pipeline reporting, and revenue and consumption forecasts; collaborating with Business Development and channel teams; and capturing customer feedback, evaluation outcomes, competitive insights, and adoption barriers to inform product priorities and go-to-market decisions.

You will turn customer learnings into reusable discovery guides, value propositions, evaluation playbooks, and enablement resources, and use AI tools and automation to improve sales productivity.

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
- 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

About you
You are a trusted advisor who can earn the confidence 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. You have a builder mindset, thrive in ambiguity, and are motivated by driving adoption and expansion of cutting-edge AI technologies. You are collaborative, data-driven, and passionate about AI and its potential to transform businesses.

Qualifications
Bachelor's degree or equivalent practical experience.