At Graphext, we are pioneering the future of AI-powered data transformation and analytics, helping businesses leverage their data to drive smarter decisions and optimize revenue operations. We believe in unlocking the potential of data to improve customer acquisition, retention, and overall business performance. To achieve this, we need passionate individuals to join us in transforming revenue operations with cutting-edge AI technology.
The Role:
As a Management Consultant at Graphext, you will play a key role in transforming revenue operations (RevOps) by leveraging AI-driven insights to enhance customer acquisition, engagement, and retention strategies. You will take ownership of the entire customer journey, from identifying strategic goals to driving measurable value across industries. Beyond driving adoption of Graphext’s platform, you will also be responsible for the delivery and project management of the services we offer to our clients. This role offers a unique opportunity to be the first member of a new services team that you will be in charge of growing and leading, ensuring we deliver exceptional value to our clients. You will work closely with our Data Science, Sales, and Product teams to ensure seamless execution and innovation across our service offerings.
The work you’ll do:
Identify & Frame Value
- Discover and translate customers' strategic priorities into impactful AI and data-driven use cases, with a focus on optimizing revenue operations.
- Develop demos and business cases that highlight the value of AI in improving lead scoring, reducing churn, and driving better customer outcomes.
- Lead Value Assessments and communicate strategic roadmaps to C-level executives, showcasing how Graphext can enable business transformation.
Realize Value
- Conduct business value workshops to identify opportunities for process optimization and data-driven enhancements within RevOps.
- Use Graphext’s platform to recommend and implement improvement measures for lead scoring, churn reduction, and other core revenue processes.
- Lead the delivery and execution of services, ensuring timely implementation and meeting client expectations.
- Present results and realized value to senior management and executives, demonstrating the business impact of the implemented changes.
Scale Value
- Oversee the end-to-end customer value journey, focusing on driving adoption, expansion, and renewal strategies to embed Graphext’s platform into the client’s revenue operations.
- Manage the successful delivery of services, ensuring that projects are delivered on time, within scope, and with high quality.
- Collaborate with our Data Science, Sales, and Product teams to develop new use cases, improve service delivery, and drive innovation in our offerings.
- Create a roadmap for continuous improvement in lead management, churn prediction, and customer retention using Graphext’s AI-driven insights.
- Lead and grow the services team, recruiting new members and shaping the team’s vision as the business scales.
The qualifications you need:
- Customer Value Focus: Proven experience in roles focused on securing business value through data analysis, process improvement, or SaaS/Software deployments, preferably in RevOps or customer-facing roles.
- RevOps Expertise: Valuable experience in projects combining churn prediction or lead scoring models, and understanding how to apply AI to optimize the full revenue lifecycle.
- Project Management & Service Delivery: Demonstrated ability to manage the delivery of client services, ensuring projects are completed on time and exceed client expectations. Experience managing project timelines, scopes, and expectations in complex environments.
- Team Leadership: Proven experience in leading or growing teams, with a focus on mentoring and developing talent.
- Strategic Stakeholder Management: Strong communication skills in English and Spanish, with experience in preparing and presenting roadmaps and results to senior stakeholders.
- Tech-Savvy: Experience with business software, SaaS applications (e.g., CRM, ERP), and familiarity with data analytics tools (Python, SQL, BI Tools, Dashboards).
- Process Optimization: Expertise in identifying use cases for process optimization and guiding clients through successful change initiatives.
- Industry Knowledge: A solid understanding of the RevOps domain and how AI can be used to drive business growth, improve forecasting, and enhance customer engagement strategies.
- Education: Degree in Business, Technology, Engineering, or related fields.
What Graphext Can Offer You:
- The opportunity to work with cutting-edge AI-driven data transformation technology in a high-growth industry.
- Investment in your professional development with continuous learning opportunities, mentorship, and clear career paths.
- Competitive compensation with equity options, generous leave policies, and insurance.
- A dynamic, collaborative work environment with a team of experts to learn from and grow with.
- The chance to be a key player in growing and leading a new services team, shaping its vision, and driving client success.
About Us:
Graphext is helping businesses transform their revenue operations using advanced AI and data analytics. We work with companies across various industries to optimize customer acquisition, retention, and growth strategies by providing actionable insights. Our platform empowers organizations to predict churn, score leads effectively, and make data-driven decisions that drive revenue. With our AI-driven technology, we help clients unlock measurable value and accelerate business growth.
In June 2023, we raised $4.6 million in a seed funding round led by Hoxton Ventures, bringing our total seed funding to $7 million.
This investment is aimed at further accelerating our growth, including the continued development of our technological offerings and expanding our team.
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 más "predictivas" y “preescriptivas” para sacar conclusiones de los datos como si hubieran estudiado Matemáticas, Física o Informática y supieran escribir código en Python o R... para más de 50 casos de uso que vamos encontrando. Desde desarrollar fármacos nuevos, a entender por qué se producen ciertos crímenes o por qué 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.
¿Por qué hacéis este producto?
Es una larga historia que puedes escuchar un podcast de 45 minutos donde nuestros inversores nos entrevistan.
¿Es una empresa seria?
Victoriano y Miguel, empezaron a trabajar juntos en otra aplicación de análisis de datos ya en 2014, pero no fue hasta 2017 que la idea de Graphext tomó forma. Recientemente hemos levantado una ronda de $4.7M (en total hemos levantado más de $7M durante estos años) de inversores internacionales y de muchos de los mejores business angels técnicos de España.
Además de la inversión recibida para crear el producto de la nada, vamos añadiendo clientes nuevos mes a mes.
Dónde y cuándo
Nuestras oficinas están en pleno centro de Madrid, en la Calle Arlabán 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 cómo repartes tus horas de trabajo. Pensamos que vernos en persona a menudo tiene mucho valor. No todos los días, pero sí a menudo. Por eso puedes quedarte a trabajar en casa varios días a la semana sin problema, pero esperamos verte por la oficina también durante la semana. Somos un equipo pequeño 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 través de una videollamada.
Lo mismo con tus días de vacaciones. Puedes repartirlos a lo largo del año con toda la flexibilidad, coordinandote un poco antes con tus compañeros.
Con qué valores
- Tenemos una cultura basada en la responsabilidad, somos pocos y no queremos tener más capitanes que marineros, así que contratamos gente de la que esperamos poder confiar sin tener que estar supervisando constantemente, con una motivación instrínsica por seguir creciendo profesionalmente.
- Nos gusta la honestidad y transparencia. Creemos que casi todos los problemas gordos empiezan como maletendidos pequeños que suelen tener que ver con cierta falta de confianza que nace de no tener información suficiente.
- Procuramos crear un ambiente donde la gente pueda hablar libremente, ser auténtica y empática al mismo tiempo con todos los compañeros del equipo.
- Tratamos de tener las mínimas 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 día echas más horas de lo normal porque tenías flow (estabas inspirado) y querías acabar algo o había un fuego que apagar, trabajarás menos horas al día siguiente. No te vamos a tener días o semanas esprintando.
- Esperemos que entiendas y hables inglés. No tiene que ser perfecto, pero sí suficiente para poder comunicarte. Por tu posición en el equipo, de momento, te relacionaras casi siempre con gente que hable español, pero somos una empresa con mentalidad global. Casi todas las comunicaciones externas e internas de la empresa se hacen en inglés, porque hacemos un producto para cualquier persona del mundo. Además tenemos miembros en el equipo que son extranjeros, que no necesariamente necesitan saber hablar español, y esperamos que con los años 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 start Graphext. Recently, we raised a $4.7M round (we have raised more than $7M during these years) from international investors and many of Spain's top technical business angels.
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.
