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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, with investors including Andreessen Horowitz, ICONIQ Growth, and Sequoia.
As a Deployment Strategist, you will work within a team of Forward Deployed Engineers, Go-to-Market 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 cohesive 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 objectives and identify pain points around customer-facing and operational workflows powered by AI agents
- Owning flagship deals end-to-end: from use-case identification through commercial structuring (outcome-based pricing, licensing, implementation) to close
- Embedding deeply within strategic customer organizations as a trusted partner, spending meaningful time onsite and owning delivery outcomes
- Identifying high-impact use cases through close customer engagement and collaborating with Forward Deployed Software Engineers to implement solutions
- Guiding customers on deployment best practices for ElevenAgents, including agent design, orchestration, and production readiness
- Scoping potential applications across new industries and expanding AI solutions globally
- Presenting work results and future proposals to audiences ranging from technical teams to C-suite executives
- Collaborating with Research teams to feed field insights back into the platform and roadmap
- Building and delivering compelling demos of ElevenAgents and broader AI technology
- Working daily with customer engineering and executive teams to ensure agents reach production and deliver measurable business outcomes
Required qualifications: 3+ years of customer-facing technical experience (enterprise preferred); product development, delivery, and change management experience; commercial instinct for deal structuring and enterprise sales cycles; basic Python proficiency and API integration familiarity; excellent communication and problem-solving skills; proven track record owning complex, ambiguous projects; adaptability across customer environments and industries; technical aptitude with LLMs and AI agent frameworks; ability to map enterprise use cases to AI systems.
