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ElevenLabs is an AI research and product company that has raised $781M and reached an $11B valuation. The company serves millions of users and thousands of businesses including Deutsche Telekom and Meta, with three main platforms: ElevenAgents (enterprise AI agents), ElevenCreative (multimodal content generation), and ElevenAPI (foundational AI audio models).
As a Deployment Strategist, you will work with a team of Forward Deployed Engineers, GTM professionals, and product engineers to deploy ElevenAgents—the company's enterprise AI platform—to solve complex customer problems. Your core mission is to synthesize customer insights into a deep understanding of their AI transformation goals, pain points, existing workflows, and where AI agents can deliver measurable impact.
Key responsibilities include:
- Meeting with strategic customers to understand their AI transformation goals and identify pain points in customer-facing and operational workflows
- Owning flagship deals end-to-end: from use-case identification through commercial structuring (including outcome-based pricing and implementation arrangements) to close
- Embedding deeply within strategic customers as a trusted partner, spending significant onsite time and owning delivery outcomes
- Collaborating with Forward Deployed Software Engineers to identify and implement high-impact use cases
- Guiding customers on best practices for deploying ElevenAgents, including agent design, orchestration, and production readiness
- Scoping applications in new industries and expanding AI solutions globally
- Presenting work and proposals to audiences from technical teams to C-suite executives
- Feeding field insights back to research teams to shape the product roadmap
- Building and delivering compelling demos of ElevenAgents and broader AI technology
- Working daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable outcomes
Required qualifications: 3+ years of customer-facing technical experience (enterprise preferred), product development and delivery background, commercial acumen for deal structuring and enterprise sales cycles, basic Python proficiency and API integration familiarity, excellent communication and problem-solving skills, proven ownership of complex ambiguous projects, adaptability across customer environments and industries, technical aptitude with LLMs and AI agent frameworks, and ability to map enterprise workflows to AI systems.
