Careers at WON.ai

Sobre WON

WON rediseña cómo funciona un negocio: lo que sus clientes experimentan por fuera y cómo opera por dentro. Trabajamos con empresas de retail y consumo, travel, hospitality, financial services y portafolios de private equity.

Combinamos Experience Intelligence y Operational Intelligence. Este rol forma parte de Operational Intelligence y aplica ese enfoque a nuestra propia operación.

No buscamos a alguien para simplemente publicar contenido en redes. Buscamos a la persona que diseñará, operará y mejorará continuamente el AI-powered media engine de WON: un sistema que convierte conversaciones con founders, workshops, keynotes, podcasts, entrevistas y sesiones de estrategia en contenido de alta calidad para las principales plataformas.

Lo que harás

• Serás responsable del ciclo completo de producción: captura, intake, producción asistida por AI, revisión, publicación y organización de la biblioteca de contenido.
• Definirás el criterio editorial: qué momentos vale la pena convertir en contenido, qué assets se publican y cuál es el estándar de calidad.
• Coordinarás editores y recursos creativos, revisando cada asset antes de su publicación.
• Medirás velocidad de producción, turnaround time, calidad y el impacto del contenido en audiencia y pipeline.
• Trabajarás directamente con el equipo técnico para diseñar el tooling interno del pipeline: ingestión desde Zoom, Google Meet, Riverside, Loom y otras fuentes; identificación de momentos de alto valor; generación de titles, hooks, captions y variaciones por plataforma; edición, aprobación y scheduling.
• Crearás quality checks previos a publicación para mantener velocidad sin comprometer el punto de vista ni los estándares de WON.
• Mantendrás una lista priorizada de oportunidades de automatización, cuantificando el trabajo manual que cada una puede eliminar y convirtiéndolo en propuestas concretas para el equipo técnico.

Lo que buscamos

• Experiencia gestionando una operación de content o media end-to-end, in-house o en agencia, siendo responsable del pipeline completo y no únicamente de una etapa.
• Capacidad demostrada de systems thinking: procesos que hayas diseñado, documentado y mejorado de forma medible.
• Experiencia real utilizando AI en el trabajo diario y capacidad para explicar workflows que hayas rediseñado con AI y el impacto obtenido.
• Criterio editorial sólido, con capacidad para explicar por qué un momento, hook o cut funciona.
• Comodidad trabajando con alta autonomía y ambigüedad, creando estructura donde todavía no existe.
• Inglés escrito y hablado fluido, necesario para trabajar estrechamente con colegas técnicos y creativos internacionales.

Plus: experiencia práctica con OpusClip, Descript, Vizard, Submagic, CapCut o Canva; ClickUp, Slack y Google Workspace; publishing y scheduling a escala mediante Buffer, Metricool o herramientas similares; o experiencia especificando o desarrollando automatizaciones internas junto con un equipo de ingeniería.

Cómo mediremos el éxito

30 días: toda conversación relevante entra en un production pipeline estructurado.

60 días: la producción es predecible, medible y repetible, con volumen y turnaround time conocidos.

90 días: WON publica consistentemente más de 500 piezas de contenido de alta calidad al mes.

12 meses: una parte significativa del trabajo manual inicial funciona mediante AI-assisted workflows que hayas ayudado a diseñar.

La capacidad debe seguir mejorando con el tiempo: más rápida, autónoma y eficiente, sin depender de una sola persona para operar el sistema.

Cómo trabajamos

En WON usamos AI para eliminar fricción operativa, no para crear más. Si un sistema cuesta más de lo que ahorra, lo eliminamos.

No necesitas experiencia con cada herramienta. Buscamos capacidad para aprender rápidamente, buen criterio y la capacidad de construir sistemas que mejoren con el tiempo.

El proceso final puede incluir un paid project utilizando grabaciones reales de WON.

Compensación: USD $4,000–$5,500 mensuales + performance incentives vinculados a volumen de producción, calidad, hitos de automatización y crecimiento de audiencia.

Working arrangement: El rol comienza de forma remota. WON está explorando la posibilidad de construir un hub en Medellín a medida que el equipo crezca.

Este es un founding role. La capacidad de producción que construyas se convertirá en uno de los activos operativos duraderos de WON.

Si te interesa construir la capacidad que produce el trabajo —no solamente producir el trabajo— queremos conocerte.

WON redesigns how a business works: what its customers experience on the outside, and how its operation runs on the inside. We do that for retail and consumer brands, travel, hospitality, financial services, and private equity portfolios. We are not a consultancy that separates the thinking from the doing, and we are not a platform company with something to sell you. Those two halves are our two disciplines: Experience Intelligence and Operational Intelligence.

The firm is built around senior practitioners. The people you meet are the people doing the work, and the people who find the opportunity stay to design it, build it, and optimize it. AI gives exceptional people extraordinary leverage. It increases capacity; it does not replace judgment.

This role sits in Operational Intelligence, the discipline that gets inside the workflows running a business and rebuilds how they work. We sell a program, not a point solution. We come into a business across a defined set of areas, often led by customer experience, marketing operations, and forecasting and inventory, benchmark how the business performs in each, and use the gap against that benchmark to show where the opportunity actually is. Then we execute across those areas over the life of the engagement. Your accounts today are retail and consumer brands with potential to expand.

This role reports to the AI Practices Lead. You are the primary point of contact on your accounts and run them independently, with the Practices Lead joining when a conversation is notable or a decision calls for it.

What You’ll Own

• Your accounts end to end: you are the primary point of contact, you set the direction, and the AI Practices Lead steps in when a conversation is notable rather than as a matter of course
• Running the program rather than a point solution. Clients buy a long-term engagement across our areas, not the one tool they got excited about, and expansion comes from delivering, reassessing what the business needs, and moving into the next area
• Discovery led by those areas rather than by whatever the client raises first: benchmark how the business performs in each, and stay embedded through recurring touchpoints and their internal channels so you see the opportunity before they package it for you
• The business case behind everything you scope: what it should move, by how much, what it costs us to deliver, and how we will know
• Specifications precise enough for a specialist engineer or analyst to deliver against, direction of that delivery across concurrent projects, and adoption once it lands, because a system nobody uses is indistinguishable from a system nobody built
• Quality and profitability on your accounts, and what becomes repeatable: which parts of a solution turn into a defined offering with known effort and margin, and which stay bespoke

How Success Is Measured

• Clients buy the program rather than the one tool they got excited about, and treat you as an operational and AI partner instead of a vendor contact
• Work expands past the project that opened the account, because you found the next thing before the client thought to ask
• Contractors execute from your direction without a second discovery pass or a rewrite of the spec
• What you scope moves a number the business already tracks, and stays in use after launch
• Several accounts run at once without quality, client trust, or margin slipping, and the AI Practices Lead is no longer the default path for discovery and scoping

What You’ll Bring

• Startup experience, built or operated, and real comfort creating the playbook while delivering the work
• Client-facing experience with the maturity to lead an executive conversation, tell a client something they are paying not to hear, and pull the conversation back to the business problem when they jump straight to the tactical
• Deeply AI-native rather than a casual user, with AI-enabled tools, products, custom agents, or workflows you have actually built. The bar is materially above vibe coding, and we will ask you to demo and walk us through an Applied AI case study project
• Enough technical and analytical fluency to reason through agent systems, data connections, backend architectures, APIs, and implementation tradeoffs, even though you will not be the primary engineer. SQL/Python experience is valuable
• You can read a P&L, explain how a Shopify or e-commerce business actually makes money, and build financial models

Bonus points: time inside a consumer or e-commerce brand on the operator side; published writing or talks on applied AI

How We Work

• We don’t start by asking where AI can be deployed. We start with where value is being left in the business, and we build systems that make the business healthier rather than tools that make one team’s day slightly nicer
• Insight has to become a shipped system. We work inside our clients’ businesses, not adjacent to them, and strategy that stops at the recommendation is half a job
• You own the whole arc: the relationship, the discovery, the business case, the direction of delivery, and the number at the end, with specialists on tap so your scope is not capped by what you can personally build
• An early hire into the practice, so you shape the offering rather than inherit one, and saying no is part of that. A client asking for the wrong thing is a conversation, not an order
• Probably not the right environment if you want a fixed scope, a predictable week, or distance from the outcome

If you want to write the recommendation and hand it off, this probably isn’t for you. If you want to own the client, find the thing that is actually broken in their business, direct the people who fix it, and be held accountable for whether anything changed, we’d love to meet you.