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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. This role combines enterprise sales expertise, technical fluency, and a builder mindset, focusing on guiding customers from evaluation to production and bringing customer insights back to Meta.

Responsibilities

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 Architects 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 escalate 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.

Requirements

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.

Skills

Selling enterprise software
Selling cloud platforms
Selling developer tools
Selling API-based products
Sales target ownership
Revenue goal achievement
Consumption goal achievement
New customer acquisition
Account expansion
Sales cycle management
Complex agreement management
Technical evaluation
Stakeholder management
Executive sponsorship
Engineering team collaboration
Procurement collaboration
Translating technical capabilities into business value
Presenting to technical audiences
Presenting to non-technical audiences
Partnering with Solutions Architects
Partnering with Sales Engineers
Developing account plans
Pipeline management
Forecast management
Data utilization for prioritization
Data utilization for risk assessment
Selling generative AI
Selling large language model APIs
Selling AI infrastructure
Selling consumption-based cloud platforms
Selling consumption-based developer platforms
Understanding of LLM application patterns
Understanding of LLM evaluation trade-offs
Working with AI-native companies
Working with independent software vendors
Working with enterprise teams integrating AI
Converting pilots into paid production deployments
Expanding usage across workloads
Building customer-specific ROI analyses
Building customer-specific TCO analyses
Building sales playbooks for emerging products
Cross-functional collaboration in ambiguous environments
Using AI tools to improve research
Using AI tools to improve outreach
Using AI tools to improve account planning
Integrating AI tools to optimize workflows
Integrating AI tools to redesign workflows
Driving measurable impact with AI tools
Adhering to responsible AI practices
Implementing ethical AI practices
AI risk assessment
AI bias mitigation
AI quality reviews
AI accuracy reviews
Ongoing AI skill development
Prompt engineering
Context engineering
Agent orchestration
Staying current with emerging AI technologies

Experience Level

8+ years of B2B technology sales experience

Education Level

Bachelor's degree or equivalent practical experience

About the Company

Meta is seeking a Solution Sales Manager to help businesses build and scale AI-powered products with the Muse Spark AI API.