Who We Are
Build. Scale. Sustain.

PALO IT is a general 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.

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:

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.

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

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

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)

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 documentation generation

Build applications through AI-driven development practices , including:

AI-assisted debugging and troubleshooting

Intelligent code completion and pattern recognition

Automated documentation generation

Apply prompt engineering best practices for reliable, repeatable engineering outcomes.

Validate GenAI output (determinism checks, guardrails, fallback logic).

More About PALO IT
We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

Become a climate net-zero company

Deliver projects with a positive impact

Train 100% of our workforce on impact

Achieve B Corp certification across all offices

Continuously measure & improve employee happiness

What We Offer

Stimulating working environments

Unique career path

International mobility

Internal R&D; projects

Knowledge sharing

Personalized training

Entrepreneurship & intrapreneurship

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