Enterprise AI API Solutions Executive

City of Westminster

On-site

GBP 90,000 - 150,000

Full time

6 days ago

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Job summary

Meta is seeking a Solution Sales Manager to help businesses build and scale AI-powered products using the Muse Spark AI API. You will drive enterprise deals, guide model evaluations, and convert trials into paying customers.

You will partner with Solutions Architects, Product, Marketing, and partner teams to move customers from evaluation to production, delivering measurable business value. You will own territory plans, build executive relationships, and grow API consumption, while navigating a

Qualifications

Experience owning a sales target and meeting or exceeding revenue or consumption goals through new customer acquisition and account expansion.
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.
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.

Responsibilities

Develop and execute territory and account plans to acquire new customers and expand existing relationships.
Own the sales cycle from outbound/inbound qualification through discovery, evaluation, conversion, and expansion.
Build relationships with founders, CTOs, AI/engineering leaders, and business decision-makers.
Lead consultative discovery to understand AI applications, model stack, workloads, and success criteria.
Partner with Solutions Architects to scope evaluations and POC engagements with clear success criteria.
Guide customers through approved commercial and onboarding paths, coordinating with stakeholders on procurement, security, and data handling.
Grow consumption by identifying additional workloads and teams within accounts.
Maintain CRM records, pipeline reporting, and revenue/consumption forecasts.
Collaborate with Business Development and channel teams for strategic opportunities.
Capture feedback and competitive insights to inform product priorities and go-to-market decisions.
Use AI tools to improve sales productivity.