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Deployment Strategist – Argentina

AI Summary
The Deployment Strategist partners with enterprise customers to identify AI-agent use cases, shape commercial engagements, and drive deployments into production. The role combines strategic consulting, technical solution design, customer delivery, and business development for ElevenAgents. It requires customer-facing technical experience, basic Python and API integration capability, fluency in English and Spanish, and strong enterprise communication skills. The successful candidate will work autonomously across ambiguous customer environments while collaborating with engineers, GTM partners, research teams, and executive stakeholders. It is a remote-first Argentina role with regular travel to customer sites.
Remote from
Argentina
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
5 Dec 2026
Listing views
47
Application actions
1
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Opportunity details

About this role.

About ElevenLabs

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:

  • 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.

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

  • 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

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

  • 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.

  • 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.

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

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

What we offer

  • 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.

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

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

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

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

  • 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:

  • 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.

  • 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.

  • 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.

  • 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.

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

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

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

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

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

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

Requirements

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

  • Experience in product development, delivery, and change management

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

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

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

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

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

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

  • 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 Argentina, with a preference of Buenos Aires. 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.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

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

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a highly cross-functional, customer-facing role that requires translating ambiguous operational problems into deployable AI solutions and commercially viable engagements. It combines technical credibility, executive communication, enterprise sales judgment, and accountability for delivery outcomes.

Salary analysis

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

Estimated job median (per year)Market rate
$85,000
US market range (per year)$60k–$115k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. The yearly cadence and USD estimates are inferred from the full-time, customer-facing technical strategy scope and seniority of the role; these are non-verified market estimates for comparison only.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you identify and prioritize an AI-agent use case for an enterprise customer?

I would begin with stakeholder interviews and workflow observation to quantify pain points, volumes, failure modes, and desired business outcomes. I would prioritize opportunities with measurable value, feasible data and integration requirements, clear executive sponsorship, and a practical path to production.

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

I would focus on the business workflow, expected outcome, controls, and success metrics rather than model internals. I would use a simple before-and-after process view, explain escalation and monitoring mechanisms, and connect the deployment to metrics such as resolution time, conversion, cost reduction, or customer satisfaction.

How do you balance a customer's custom requirements with a scalable product approach?

I would separate requirements into core product capabilities, configurable implementation elements, and true custom work. I would validate value and repeatability before advocating custom development, set clear commercial and delivery expectations, and feed recurring customer insights back to product and research teams.

What would you do if a pilot is technically functional but adoption is lower than expected?

I would analyze usage data and gather feedback from end users and sponsors to identify workflow, trust, training, or integration barriers. Then I would revise the rollout plan, improve agent behavior and handoffs, define adoption milestones, and communicate a measurable recovery plan with the customer.

How have you used Python or APIs in a customer-facing technical role?

I would use Python and APIs to validate integrations, prototype workflows, inspect request and response data, and create demos that make solution feasibility tangible. In customer discussions, I would translate those technical details into implementation dependencies, risk mitigation steps, and production-readiness criteria.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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