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Content Creator

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We are looking for content writer to help us tell amazing stories about how to use data in the real world with Graphext. Madrid and/or full Remote.

What is this role all about?

We believe that the best marketing is a great product that is so good, that people need to tell everyone about it when they try it for the first time: word of mouth.

During many years, we haven’t hired a single person for a marketing role because we wanted to focus on making the product great. We recently launched a freemium version of Graphext so anyone can register and try the product independently. We are starting to feel comfortable reaching way more people from those that organically met us (around 100 people a day visit our website organically) by word of mouth and reading our content in social media, primarily in Spanish for now. This also made 80% of the people visiting our website come from Spain (where we are originally from). It's time to make the world know what we are doing (in English).

We also believe the second-best way of doing marketing is education. Buyers now prefer to self-educate. 3 of 4 business software buyers would rather self-educate than learn about a product from a salesperson.  Our potential customers are curious and creative minds. They love learning about new things. So that's why we want to bet on high-quality content in multiple forms:

This diagram represents the multiple platforms where we are currently posting content to drive traffic to sign up for Graphext, try the product, and eventually pay for a pro account if they are happy with the solution. 💫

These are some of the principles we want to follow:

  • Quality over Quantity. The internet is already full of content. We compete for attention with pages like Towardsdatascience, but especially against Youtubers, Netflix, and even WhatsApp memes, if the content is bad, nobody will read it, and our brand will be irrelevant.
  • Be succinct. Every single word counts. We can totally write long pieces (like this job offer) but every paragraph has to say something relevant. Twitter threads are a good way to encapsulate as much meaning as possible.
  • Images and Videos over text. The ratio images vs text should be high (not like this job offer)
  • Use the language and style of every platform. The same way you speak differently to your parents than to your friends, Twitter and LinkedIn have different audiences, their language and technicality should change.

This Pricenomics content marketing handbook is gold.

We don't expect you to create all this content alone. You will create content, but a big part of your mission is to encourage our team to participate in creating this content, and you will find external collaborators: users that already use the product, customers, influencers, journalists... and you can also count on the design team to help you elaborating this content.

We really admire the way NotionFigma, or Webflow are building communities of enthusiastic users around their products. We would like to become the data analytics tool in this new generation of SaaS tools. 

What we are expecting from you

📊 Data Science Skills

Genuine Curiosity for data analytics - We expect you to be very motivated about the possibilities data is bringing to the world, even if you have all the other skills we are listing below, if you are not passionate about this, we won't succeed.

Data Science Knowledge - You will need to understand a lot of concepts in this field. If you have already studied or learned on your own about data analytics and can even program in Python or R, that's fantastic; otherwise, if you have the motivation, you learn them with us.

🕸 Networking Skills

Knowledge of Existing Data Media - You will be in charge of distributing our content, teach Graphext, reach out to influencers or reporters. If you already know key opinion leaders in this field and publications in this area, that's another extra point.

🗣 Communication Skills

English - As mentioned before, one of our main objectives is to reach an international audience; we expect you to have fluid English if you speak Spanish even better, but for this role, English is more important.

Creativity to generate ideas for content - Even though we have tons of ideas about what to publish, there are probably many other ideas way better we are missing. It will also be your responsibility to prioritize these ideas.

Writing Skills - Clear writing means clear thinking.

Audiovisual Skills - We want to bet a lot for audiovisual content (YouTube videos, streaming on Twitch, maybe podcasts..) I love these Webflow video tutorials for instance.

Extra points if you...

  • You have experience with SEO and SEM.
  • You have experience with BI tools like Tableau, and Power BI...
  • Knowledge about no-code tools such as Notion, Webflow, Airtable, Zapier, Integromat...
  • You have experience using CRMs like Hubspot.
  • You have a bachelor's degree or master's or any other educational background that proves you are hard-working, patient, and smart enough! (You can also be all these things without one, but it might save some time for us to test it)
  • Previous experience in start-up environments.

About your teammates

You will mainly work with Victoriano, CEO, and co-founder, who is also the person that currently does most of these tasks in Graphext. He is excited to finally hire someone to take this to the next level.

You will also be very close to the business team, led by Andrés and the our data scientists (Alex)

We are now around 20 people in the team that you will also meet and interact with, most of them developers.

Sobre Graphext

Somos un equipo de 20 personas con oficina en pleno centro de Madrid (Calle Arlabán 7). Nos dedicamos a hacer un producto de software para que la gente que ha estudiado ADE, Económicas, Biología, Caminos o Periodismo... puedan hacer análisis avanzado de datos. Para aquellos a los que Excel y los dashboards se les quedan cortos y tal.

Con Graphext intentamos que esos analistas, consigan hacer cosas m√°s "predictivas" y ‚Äúpreescriptivas‚ÄĚ para sacar conclusiones de los datos como si hubieran estudiado Matem√°ticas, F√≠sica o Inform√°tica y supieran escribir c√≥digo en Python o R... para m√°s de 50 casos de uso que vamos encontrando. Desde desarrollar f√°rmacos nuevos, a entender por qu√© se producen ciertos cr√≠menes o por qu√© se van los empleados de una empresa.

Creemos que las herramientas que hay ahora mismo en el mercado limitan o impiden que muchos de estos analistas las pueda usar porque: necesitas saber programar, no te guían prácticamente nada para descubrir qué funciones de limpieza de datos, enriquecimiento o algoritmia puedes usar para resolver determinados problemas de negocio, son muy poco interactivas y lentas (human in the loop), y sólo te dejan trabajar con datos estructurados (numéricos y categóricos) y se olvidan de todo lo que hoy día con machine learning se puede sacar de információn desesctructurada (textos e imágenes).

Cómo es el producto

En nuestro canal de Youtube encontrarás vídeos más explícitos: como este ejemplo o este otro de tipos de análisis que se pueden hacer.

En nuestro Twitter y blog también solemos poner más ejemplos regularmente de análisis que vamos haciendo.

¬ŅPor qu√© hac√©is este producto?

Es una larga historia que puedes escuchar un podcast de 45 minutos donde nuestros inversores nos entrevistan.

¬ŅEs una empresa seria?

Empezamos hace m√°s de 6 a√Īos, pero no fue hasta hace 3 y medio que recibimos una inversi√≥n relevante de nuestro principal inversor KFund. En total hemos levantado 3M de financiaci√≥n.

Adem√°s de la inversi√≥n recibida para crear el producto de la nada, vamos a√Īadiendo clientes nuevos mes a mes.

Dónde y cuándo

Nuestras oficinas est√°n en pleno centro de Madrid, en la Calle Arlab√°n 7 concretamente. Puedes ver fotos en nuestro Instagram.

Actualmente todo el equipo, dada la situación, está trabajando plenamente en remoto.

En la vieja o nueva normalidad somos muy flexibles con c√≥mo repartes tus horas de trabajo. Pensamos que vernos en persona a menudo tiene mucho valor. No todos los d√≠as, pero s√≠ a menudo. Por eso puedes quedarte a trabajar en casa varios d√≠as a la semana sin problema, pero esperamos verte por la oficina tambi√©n durante la semana. Somos un equipo peque√Īo y las relaciones de confianza que se generan o la capacidad de pensar en cosas creativas fuera del roadmap, de momento, pensamos que funcionan mejor en persona que a trav√©s de una videollamada.

Lo mismo con tus d√≠as de vacaciones. Puedes repartirlos a lo largo del a√Īo con toda la flexibilidad, coordinandote un poco antes con tus compa√Īeros.

Con qué valores

  • Tenemos una cultura basada en la responsabilidad, somos pocos y no queremos tener m√°s capitanes que marineros, as√≠ que contratamos gente de la que esperamos poder confiar sin tener que estar supervisando constantemente, con una motivaci√≥n instr√≠nsica por seguir creciendo profesionalmente.
  • Nos gusta la honestidad y transparencia. Creemos que casi todos los problemas gordos empiezan como maletendidos peque√Īos que suelen tener que ver con cierta falta de confianza que nace de no tener informaci√≥n suficiente.
  • Procuramos crear un ambiente donde la gente pueda hablar libremente, ser aut√©ntica y emp√°tica al mismo tiempo con todos los compa√Īeros del equipo.
  • Tratamos de tener las m√≠nimas reuniones posibles.
  • Aunque somos una startup, entendemos que para ganar de verdad, esta va a ser una carrera larga y cuidamos de que nadie se queme. Si un d√≠a echas m√°s horas de lo normal porque ten√≠as flow (estabas inspirado) y quer√≠as acabar algo o hab√≠a un fuego que apagar, trabajar√°s menos horas al d√≠a siguiente. No te vamos a tener d√≠as o semanas esprintando.
  • Esperemos que entiendas y hables ingl√©s. No tiene que ser perfecto, pero s√≠ suficiente para poder comunicarte. Por tu posici√≥n en el equipo, de momento, te relacionaras casi siempre con gente que hable espa√Īol, pero somos una empresa con mentalidad global. Casi todas las comunicaciones externas e internas de la empresa se hacen en ingl√©s, porque hacemos un producto para cualquier persona del mundo. Adem√°s tenemos miembros en el equipo que son extranjeros, que no necesariamente necesitan saber hablar espa√Īol, y esperamos que con los a√Īos sigamos sumando extranjeros al equipo.

Why do we do Graphext?

We develop software for people who studied business, economics, biology, psychology, engineering, or journalism... and that now call themselves data scientists. Graphext enables them to do advanced data analytics without knowing how to write code for those creative people that find Excel and current business intelligence tools (like Tableau or Power BI) too limited.

We allow them to run analyses that are more "predictive" and "prescriptive" than descriptive, with the same power of analysis as if they had studied Maths or Computer Science and knew how to write code in Python or R... for more than 50 different use cases that we have identified so far... from developing new drugs, to understand why some crimes are growing o why the employees of a company are leaving.

Current data science tools demand learning to code in Python or R (which takes years until someone is fluid enough). These tools don't guide you either. Don't help you discover what methods and techniques are appropriate for different kinds of analysis (data cleaning, enrichment, modeling) to solve many business problems. These tools aren't very interactive (you need a quick feedback loop to understand what you are doing), and you can only work with structured data (numerical and categorical data). They miss all the possibilities we now have to analyze texts and images thanks to AI's latest advancements.

We highly value candidates who register for a free account and try Graphext before the first interview, and come with questions.

What does the product look like?

On our Youtube channel, you will find more detailed videos.

We also regularly post more examples on our Twitter and Blog.

How is this company doing?

The two co-founders, Victoriano and Miguel, spent the first years building another product that inspired them to later, in 2017, raise money from venture capital ( Kfund is our main investor ) to build Graphext. Up to this date, the company has received over 3M euros in funding.

At the same time, we also keep growing our revenue as we sign more and more customers every month.

Where, when, and how

  • We do have a very nice office in central Madrid, plenty of light, two terraces, and a BBQ :) If you happen to live in Madrid, you can come anytime. We are a global remote company by default, and we usually bring to Madrid all the people working remotely once a quarter for an entire week.
  • We are really flexible about how you administrate your time.
  • Really flexible about your vacations too. Just coordination with the rest of the team is required.
  • You will choose the machine which you would like to work on. Most of us are using Macbook Pro or MacBook Air. You will decide if you prefer Windows rather than macOS.

Our core values

  • Our culture is based on responsibility. We are still a small company, and we don't want to have more managers and individual contributors, so we focus on hiring people we expect to trust without supervising all the time, with a high intrinsic motivation to keep growing as a professional.
  • We like honesty and transparency. We believe most big issues arise as small misunderstandings and lack of communication erode trust for not having enough information to understand decisions.
  • We really do our best to create an environment where people can speak freely, being authentic and empathic at the same time with all their peers.
  • We try to have as few meetings as possible.
  • Even though we are a startup, we play a long game, and we care to avoid burnout. If you want or need to work many hours one day because you had flow, you were inspired, or there was an emergency, you will work less the following day. You are not gonna be sprinting for weeks.
  • We have a global mindset. Even though most team members are Spanish, we are open to hiring anybody from anywhere. We make sure people are comfortable communicating in English. Everything is documented and reported in English.

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