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ElevenLabs is an AI research and product company that has raised $781M in funding with an $11B valuation. The company serves millions of users and thousands of businesses including Deutsche Telekom and Meta, offering three main platforms: ElevenAgents (enterprise AI agents), ElevenCreative (speech, music, image, and video generation), and ElevenAPI (AI audio foundational models).
As a Deployment Strategist, you will work with a team of Forward Deployed Engineers, Go-to-Market professionals, and Product Engineers to deploy ElevenAgents against complex customer problems. Your core mission is to synthesize customer insights into a cohesive understanding of their AI transformation goals, pain points, and the impact opportunities available.
Key responsibilities include: meeting with strategic customers to understand their AI transformation goals and identify pain points around customer-facing and operational workflows; owning flagship deals end-to-end from use case identification through commercial structuring (including outcome-based pricing) to close; embedding deeply within strategic customers as a trusted partner and owning delivery outcomes; identifying high-impact use cases and collaborating with engineers to implement them; guiding customers on best practices for deploying ElevenAgents; scoping applications in new industries; presenting results to technical and executive audiences; collaborating with research teams to inform product roadmap; building and delivering compelling product demos; and working daily with customer engineering and executive teams to ensure agents reach production and deliver measurable business outcomes.
You will need 3+ years of customer-facing technical experience (enterprise preferred), background in product development and delivery, commercial instinct for deal structuring and enterprise sales cycles, basic Python proficiency and API integration familiarity, excellent communication and problem-solving skills, proven ability to own complex ambiguous projects, adaptability across customer environments and industries, technical aptitude with LLMs and AI agent frameworks, and the ability to map enterprise workflows to AI systems.
