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# Deployment Strategist – Mexico

AI Summary The Deployment Strategist will partner with enterprise customers to identify high-impact AI-agent use cases and guide ElevenAgents deployments into production. The role combines consultative discovery, solution design, commercial deal support, technical prototyping, and delivery ownership. It requires close collaboration with customer engineering and executive teams as well as internal forward-deployed engineers, product teams, and GTM partners. The successful candidate will translate ambiguous operational workflows into measurable AI transformation initiatives while presenting clearly to both technical and C-suite stakeholders. The position is remote within Mexico and requires regular travel to customer sites.[Apply for this job](#job-application)[View company](https://jobicy.com/company/elevenlabs.md)ShareRemote from[Mexico](https://jobicy.com/job-region/mexico.md)SalaryUndisclosedDepartment[Business Development](https://jobicy.com/categories/business.md)EmploymentFull TimeExperienceDirectorPublished8 Nov 2026Apply before8 Dec 2026Listing views47Application actions2Application toolkit

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Opportunity details

## About this role.

### About [ElevenLabs](https://jobicy.com/company/elevenlabs.md)

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses – from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world’s most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We’ve raised $781M in funding and our last valuation was $22B – multiples of 11, always.

We have expanded from voice into three main platforms:

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ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

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ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

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ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team – builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

### How we work

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High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

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Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

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AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

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Excellence everywhere: Everything we do should match the quality of our AI models.

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Global team: We prioritize your talent, not your location.

### What we offer

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Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

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Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact – beyond your immediate role and responsibilities.

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Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.

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Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.

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Annual team offsite: Each year, we bring your entire team together in a new location – past offsites have included Croatia, Italy and Cancún

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Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

### About the role

As a Deployment Strategist, you’ll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be.

No two days are the same, but as a Deployment Strategist you can expect to:

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Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents.

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Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close.

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Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team.

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Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life.

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Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact.

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Scope out potential applications in new industries and expand our AI solutions across different sectors globally.

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Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.

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Collaborate with our Research teams to feed field insights back into ElevenLabs’ platform and models, helping shape the roadmap.

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Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers.

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Collaborate daily with customers’ engineering and executive teams to ensure agents reach production and deliver measurable business outcomes.

Requirements

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3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred.

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Experience in product development, delivery, and change management

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Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners.

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Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams.

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Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions.

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A proven track record of taking ownership of complex, ambiguous projects and delivering results.

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Adaptability to work across different customer environments, industries, and technical use cases.

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Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks.

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Ability to creatively map enterprise use cases and workflows to AI systems

### Location

This role is remote-first, so it can be executed from anywhere in Mexico, with a preference of Mexico City. Expect regular travel for customer onsite. Fluency in English and Spanish and a deep understanding of the regional and cultural nuances is required.

#LI-Remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Show more

[Apply now >](https://jobicy.com/jobs/159769-deployment-strategist-mexico.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a highly cross-functional, customer-facing role that demands commercial judgment, technical fluency, and ownership of ambiguous enterprise deployments. The strategist must move quickly between executive conversations, technical prototypes, implementation delivery, and measurable business outcomes.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$85,000US market range (per year)$60k–$115k0$126.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary is disclosed. The annual figures are estimated USD market compensation for a Mexico-based, mid-level to senior technical deployment and enterprise AI strategy role; the yearly cadence is inferred from the full-time professional role context.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Enterprise customer engagement](https://jobicy.com/jobs?search_keywords=Enterprise%20customer%20engagement.md)[AI agent deployment](https://jobicy.com/jobs?search_keywords=AI%20agent%20deployment.md)[Solution consulting](https://jobicy.com/jobs?search_keywords=Solution%20consulting.md)[Technical discovery](https://jobicy.com/jobs?search_keywords=Technical%20discovery.md)[Change management](https://jobicy.com/jobs?search_keywords=Change%20management.md)[Enterprise sales cycles](https://jobicy.com/jobs?search_keywords=Enterprise%20sales%20cycles.md)[Commercial deal structuring](https://jobicy.com/jobs?search_keywords=Commercial%20deal%20structuring.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[API integration](https://jobicy.com/jobs?search_keywords=API%20integration.md)[LLM frameworks](https://jobicy.com/jobs?search_keywords=LLM%20frameworks.md)[Workflow analysis](https://jobicy.com/jobs?search_keywords=Workflow%20analysis.md)[Executive presentations](https://jobicy.com/jobs?search_keywords=Executive%20presentations.md)[Product delivery](https://jobicy.com/jobs?search_keywords=Product%20delivery.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Spanish-English communication](https://jobicy.com/jobs?search_keywords=Spanish-English%20communication.md)

Sample interview questionsHow would you identify and prioritize an AI-agent use case for a new enterprise customer?I would begin with structured discovery across business sponsors, frontline users, and technical stakeholders to map workflows, pain points, existing metrics, and constraints. I would prioritize opportunities by expected business impact, implementation feasibility, data and integration readiness, adoption risk, and time to value. I would then align on a narrow pilot with clear success metrics before expanding to a broader deployment.

Describe how you would explain a complex AI-agent architecture to a non-technical executive audience.

I would start with the business outcome, such as reducing handling time or improving conversion, rather than the underlying model. I would use a simple workflow diagram to show what the agent does, where human oversight remains, and how performance will be measured. I would address reliability, security, and rollout controls in plain language, reserving technical detail for the engineering team.

How would you work with a customer whose desired AI use case is not yet technically feasible?

I would validate the underlying business problem and explain the specific feasibility constraints transparently, such as data quality, integration limitations, or reliability requirements. Rather than stopping at no, I would propose a phased alternative that captures value sooner, potentially with narrower scope, human review, or a different workflow. I would document the longer-term requirements and feed relevant insights back to product and research teams.

What is your approach to taking an AI-agent deployment from prototype to production?

I would define production criteria early, including integrations, security review, testing scenarios, monitoring, escalation paths, ownership, and measurable KPIs. I would partner with customer engineers and internal forward-deployed engineers to iterate against real workflows, validate agent behavior, and establish operational readiness. After launch, I would review adoption and outcome data regularly to improve the deployment and identify expansion opportunities.

How would you handle a commercial conversation while preserving trust as a strategic customer partner?

I would ground the discussion in the customer’s agreed business outcomes and make the value model transparent. I would collaborate with GTM partners on pricing and terms while ensuring the proposed scope, implementation responsibilities, and success measures are realistic. Clear communication about trade-offs and mutual commitments helps maintain trust while moving the deal forward.

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