Who We Are

Build. Scale. Sustain.

PALO IT is a integral technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

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- We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

- We are robust and resilient (100% independent and 0 debt)

- We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

- We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

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- We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot

- The quality consistently exceeds the output of our best traditional engineering teams

- A product repository houses all product artefacts, giving AI full project context for higher-quality generation

- A library of rules and prompts defines coding standards, design principles, and security guidelines

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches,



while raising the bar for engineering excellence.

Your Role

As a Lead Content Ops & Conversational AI, you will define and scale the Content Operations practice, transforming content into a strategic, reusable, and AI-powered infrastructure across all customer touchpoints.

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- Define and implement the Content Ops model, including governance, voice & tone frameworks, and content standards

- Design and scale omnichannel conversational systems (chatbots, voice, messaging, email, in-product experiences)

- Build and manage modular, reusable conversational flows aligned with user journeys and business goals

- Establish semantic QA frameworks to ensure consistency, accuracy, and brand alignment across channels

- Design and optimize end-to-end content workflows, integrating Product, Marketing, CX, and Engineering

- Define and manage tooling architecture, including conversational platforms and content automation tools

- Leverage AI/NLP and LLMs to design, generate, and optimize conversational experiences

- Train, fine-tune, and evaluate language models and conversational systems

- Integrate platforms such as Voiceflow, Dialogflow, Rasa, ChatGPT, Braze, Twilio, Sendgrid

- Define and track OKRs and KPIs,



including comprehension rates, resolution rates, engagement, and conversion

- Drive content personalization and automation strategies at scale

- Act as a strategic bridge between Product, Marketing, Data, and Engineering teams

- Influence stakeholders and scale adoption of Content Ops practices across the organization

Who You Are

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- Proven experience in Content Ops, Conversational Design, or CX/UX Writing at scale

- Strong experience designing conversational experiences across multiple channels

- Hands-on experience with NLP, LLMs, or AI-driven content systems

- Experience with conversational tools such as Voiceflow, Dialogflow, Rasa, or similar

- Familiarity with CRM/engagement platforms (Braze, Twilio, Sendgrid)

- Strong understanding of content lifecycle, governance, and modular content systems

- Experience defining voice & tone systems and content guidelines

Soft Skills

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- Strong strategic communication and storytelling mindset

- High level of empathy and user-centric thinking

- Ability to facilitate cross-functional collaboration

- Strong systems thinking applied to content ecosystems

- Comfortable making decisions in complex and ambiguous environments

AI-Native Engineering (Core Expectation)

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- Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:

- Code scaffolding and refactoring

- Code generation and optimisation

- Test-cases and docu

📌 AI First Content Strategist (Ciudad de México)
🏢 Solicitud de empleo para AI First Content Strategist en PALO IT
📍 Ciudad de México