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DesignRush.com, a B2B Media Platform that drives brand discovery & growth, is seeking a Media Sales Representative. The site generates over 600,000 high‑intent B2B visitors monthly. We are looking for a Media Sales Representative with an established network of contacts across the media industry. The ideal candidate will have: • Proven experience in media sales or related industry, • Ability to leverage existing relationships to generate new business, • Ability to generate and close new leads Key Goals: • Own the results for brand exposure and media package sales, • Position DesignRush as the go-to media partner for top brand decision-makers, • Sell media and exposure packages, • Retain and upsell relationships This position offers a base salary and monthly bonuses. This is a full-time, remote work-from-home position. As our clients are US-based, this position requires candidates who can work until 5 pm EST. DesignRush is seeking to make IMMEDIATE hires. Responsibilities: • Generate qualified leads and close them on yearly retainers., • Own the full Brand sales cycle: prospecting, closing, relationship management, • Set monthly and quarterly sales targets and provide reports to the executive team, • Sell contributor columns, PR campaigns, newsletters, podcast features, digital PR, and social media exposure packages, • Build trusted partnerships with key clients, increasing retention and revenue over time, • Maintain pipeline activity in CRM, • Collaborate with marketing and Sales Ops team Requirements: • 7+ years of experience in media sales and a well-established network of industry contacts, with the ability to leverage relationships to drive business growth, • Proactive, analytical, tech-savvy, and has a growth mindset, • Must have exceptional English communication skills, both verbal and written, • Has a strong drive to help customers and enhance their experience, • Experienced in working within cross-functional teams and is a true team player, • Excellent organizational skills with proficiency in CRMs (HubSpot), • Establish a list of contacts within the media industry, • Must have a reliable computer and stable internet connection, • Able to work EST hours. Recruitment steps: • Apply via LinkedIn, • Receive a short questionnaire, • Send back answers + CV, • Recruiter Interview, • Have an interview with our Hiring Manager, • Get feedback We kindly ask for your CV and all correspondence to be in English.

In a few words Position: AI Product Manager for IA Labs Location: Madrid (Chamberí area). Want to know more? 👇 INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. Ready to be a #Challenger? What are we looking for? 🔎 We are the AI Labs team, the applied AI department at Insud Pharma. We are a team of 30 professionals (AI Engineers, Data Scientists, DevOps Engineers, and Product Managers) working across the full breadth of the company, building products, models, and analytical solutions that directly inform and shape decision-making. We are looking for an AI Product Manager who can bridge the gap between complex technical work and real business impact. You will own the end-to-end lifecycle of AI products—from identifying opportunities and framing problems, through prioritization and roadmap definition, to delivery and adoption across the organization. This includes both analytical/model-driven solutions and AI-powered software products and features. You will work closely with Data Scientists, AI Engineers, and Software Engineers to translate ambiguous business challenges into well-scoped, buildable solutions, and with stakeholders across the company to ensure those solutions actually get used. We are seeking someone who is genuinely curious about AI and its capabilities and limitations, rigorous enough to make sound prioritization calls under uncertainty, and independent enough to drive products forward while keeping cross-functional teams aligned and motivated. How the team works: AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work. We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. The challenge! • Collaborate with small, cross-functional teams. Each product is run by a small group — typically a Product Manager, a Data Scientist, AI or Software Engineers, and key stakeholders. Iteration is fast, feedback loops are short, and your contribution is visible from day one., • Identify and scope high-impact AI opportunities across diverse domains (commercial & sales, R&D, drug manufacturing, process optimization, clinical trials, and beyond), working closely with stakeholders to understand their needs and constraints., • Define product vision, roadmaps, and priorities, balancing technical feasibility, business value, and delivery timelines., • Translate ambiguous business problems into clear requirements and success criteria that Data Scientists, AI Engineers, and Software Engineers can act on., • Own delivery, breaking down work into clear, actionable milestones and holding the bar on execution so products ship and reach adoption, not just get defined., • Drive the delivery of AI-powered software products and features, working together with Software Engineers to ensure models and analytical solutions are properly integrated into robust, usable applications., • Communicate progress, trade-offs, and results clearly to both technical and non-technical audiences, enabling informed, data-driven decisions at all levels of the organization. What do you need? • Experience managing or working closely with technical products, ideally involving data, analytics, AI/ML, or software components., • Proven ability to identify opportunities and frame problems from the ground up, and to translate them into clear prioritization and roadmap decisions., • Solid understanding of the AI/ML product lifecycle, including the ability to assess technical feasibility and constraints in collaboration with technical and engineering teams., • Strong stakeholder management skills, with the ability to align diverse interests and drive consensus across technical and business teams., • Proven ability to translate complex technical concepts into actionable plans for non-technical audiences., • Familiarity with agile methodologies and product management tools (e.g., Jira, Confluence, or similar)., • Good understanding of data science, machine learning, LLM’s and software development concepts (e.g., model evaluation, data pipelines, APIs, system architecture) is highly valued., • Experience working in regulated industries (pharma, healthcare, or similar) is a plus., • Proficient in Spanish and English in written and verbal communication. Our benefits! ⏰ Flexible start time from Monday to Friday 📜 Permanent contract. 🥼 Life and accident insurance. 🍽️ Ticket restaurant 💻 Training and language learning platform 💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions 🚕 Cabify transportation service for employee use 📈 Development plans, internal mobility policy. ⭐ Many more! 🔷 Do you think this offer is not for you? 🔷 Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting! #InsudPharma #Challenger #Insuder #InsudTalent COMMITMENT TO EQUAL OPPORTUNITIES The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

En Natulim estamos cambiando la forma de entender la limpieza.Ahora queremos llevar nuestro contenido al siguiente nivel.Buscamos a alguien que viva en TikTok, Instagram y YouTube, sepa qué hace que un vídeo enganche en los primeros segundos y disfrute editando hasta que cada detalle funcione.No b

DesignRush.com, a B2B Media Platform that drives brand discovery & growth, is seeking a Media Sales Representative. The site generates over 600,000 high‑intent B2B visitors monthly. We are looking for a Media Sales Representative with an established network of contacts across the media industry. The ideal candidate will have: • Proven experience in media sales or related industry, • Ability to leverage existing relationships to generate new business, • Ability to generate and close new leads Key Goals: • Own the results for brand exposure and media package sales, • Position DesignRush as the go-to media partner for top brand decision-makers, • Sell media and exposure packages, • Retain and upsell relationships This position offers a base salary and monthly bonuses. This is a full-time, remote work-from-home position. As our clients are US-based, this position requires candidates who can work until 5 pm EST. DesignRush is seeking to make IMMEDIATE hires. Responsibilities: • Generate qualified leads and close them on yearly retainers., • Own the full Brand sales cycle: prospecting, closing, relationship management, • Set monthly and quarterly sales targets and provide reports to the executive team, • Sell contributor columns, PR campaigns, newsletters, podcast features, digital PR, and social media exposure packages, • Build trusted partnerships with key clients, increasing retention and revenue over time, • Maintain pipeline activity in CRM, • Collaborate with marketing and Sales Ops team Requirements: • 7+ years of experience in media sales and a well-established network of industry contacts, with the ability to leverage relationships to drive business growth, • Proactive, analytical, tech-savvy, and has a growth mindset, • Must have exceptional English communication skills, both verbal and written, • Has a strong drive to help customers and enhance their experience, • Experienced in working within cross-functional teams and is a true team player, • Excellent organizational skills with proficiency in CRMs (HubSpot), • Establish a list of contacts within the media industry, • Must have a reliable computer and stable internet connection, • Able to work EST hours. Recruitment steps: • Apply via LinkedIn, • Receive a short questionnaire, • Send back answers + CV, • Recruiter Interview, • Have an interview with our Hiring Manager, • Get feedback We kindly ask for your CV and all correspondence to be in English.

DesignRush.com, a B2B Media Platform that drives brand discovery & growth, is seeking a Media Sales Representative. The site generates over 600,000 high‑intent B2B visitors monthly. We are looking for a Media Sales Representative with an established network of contacts across the media industry. The ideal candidate will have: • Proven experience in media sales or related industry, • Ability to leverage existing relationships to generate new business, • Ability to generate and close new leads Key Goals: • Own the results for brand exposure and media package sales, • Position DesignRush as the go-to media partner for top brand decision-makers, • Sell media and exposure packages, • Retain and upsell relationships This position offers a base salary and monthly bonuses. This is a full-time, remote work-from-home position. As our clients are US-based, this position requires candidates who can work until 5 pm EST. DesignRush is seeking to make IMMEDIATE hires. Responsibilities: • Generate qualified leads and close them on yearly retainers., • Own the full Brand sales cycle: prospecting, closing, relationship management, • Set monthly and quarterly sales targets and provide reports to the executive team, • Sell contributor columns, PR campaigns, newsletters, podcast features, digital PR, and social media exposure packages, • Build trusted partnerships with key clients, increasing retention and revenue over time, • Maintain pipeline activity in CRM, • Collaborate with marketing and Sales Ops team Requirements: • 7+ years of experience in media sales and a well-established network of industry contacts, with the ability to leverage relationships to drive business growth, • Proactive, analytical, tech-savvy, and has a growth mindset, • Must have exceptional English communication skills, both verbal and written, • Has a strong drive to help customers and enhance their experience, • Experienced in working within cross-functional teams and is a true team player, • Excellent organizational skills with proficiency in CRMs (HubSpot), • Establish a list of contacts within the media industry, • Must have a reliable computer and stable internet connection, • Able to work EST hours. Recruitment steps: • Apply via LinkedIn, • Receive a short questionnaire, • Send back answers + CV, • Recruiter Interview, • Have an interview with our Hiring Manager, • Get feedback We kindly ask for your CV and all correspondence to be in English.

In a few words Position: Data Engineer MLE Location: Madrid (Chamberí area). Want to know more? 👇 INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. Ready to be a #Challenger? What are we looking for? 🔎 We're AI Labs — the applied AI team at Insud Pharma. 30 people. AI Engineers, Data Scientists, DevOps Engineers, Product Managers building the systems that power how trials get designed, how patients get recruited, and how everything gets monitored once the trial is live. Clinical trials run on data. Bad pipelines, slow models, and infrastructure that breaks under pressure can cost months — or worse, the trial itself. We are seeking a highly skilled Data Engineer / Machine Learning Engineer to join our Applied AI Team. The ideal candidate combines strong software engineering foundations with hands-on experience in data pipelines and machine learning systems, and enjoys working at the intersection between data, models, and production systems. As a Data Engineer / MLE at AI Labs, you will work closely with data scientists, software engineers, and product owners to design, build, deploy, and operate end-to-end data and machine learning solutions across multiple business units — including Regulatory, Clinical Trials, R&D, Pharmacovigilance, and Drug Manufacturing. This role is critical to ensuring that AI models move reliably from experimentation to production, supported by scalable data pipelines, robust ML infrastructure, and strong engineering standards. How the team works: AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work. We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. The challenge! • Design, build, and maintain scalable data pipelines for data ingestion, transformation, and serving, supporting both analytics and machine learning use cases., • Develop and productionize machine learning pipelines, covering training, validation, deployment, and monitoring., • Collaborate closely with Data Scientists to translate notebooks and prototypes into robust, production-ready ML systems., • Implement model deployment patterns (batch, real-time, or hybrid) using APIs, scheduled jobs, or event-driven architectures., • Build and maintain feature pipelines and data abstractions that enable reproducible and reliable model behavior., • Ensure data quality, versioning, and traceability across datasets and models., • Optimize pipelines and ML workloads for performance, scalability, and cost efficiency., • Work with DevOps and Platform teams to deploy solutions using containerization and CI/CD best practices., • Contribute to defining data engineering and MLOps standards across AI Labs. Participate in code reviews, documentation, and mentoring to foster a culture of engineering excellence. What do you need? • Proficient in Spanish and English, written and verbal communication., • Strong proficiency in Python, including clean code practices, packaging, and modular design., • Solid understanding of software engineering principles (OOP, SOLID, testing, version control)., • Hands-on experience building data pipelines (ETL / ELT) using Python-based frameworks or custom solutions., • Experience working with machine learning workflows, including model training, evaluation, and deployment., • Familiarity with REST APIs and service-based architectures (FastAPI, Flask, or similar)., • Strong experience with Git and collaborative development workflows., • Experience with containerization (Docker) and cloud environments (AWS or Azure)., • Experience with MLOps practices (model versioning, monitoring, drift detection, retraining strategies)., • Familiarity with orchestration tools (e.g., Airflow, Prefect, Dagster)., • Experience with data storage systems (SQL / NoSQL databases, data lakes, object storage)., • Exposure to streaming or event-driven architectures., • Experience deploying or operating ML systems in regulated or high-reliability environments., • Familiarity with ML frameworks and scientific libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow)., • Interest in applied AI topics such as NLP, LLM-based systems, or scientific computing. Our benefits! ⏰ Flexible start time from Monday to Friday 📜 Permanent contract. 🥼 Life and accident insurance. 🍽️ Ticket restaurant 💻 Training and language learning platform 💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions 🚕 Cabify transportation service for employee use 📈 Development plans, internal mobility policy. ⭐ Many more! What will the Selection process be like? 🕵️ ➡️ Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels. ➡️ Prepare well! We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test. ➡️ Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process. 🔷 Do you think this offer is not for you? 🔷 Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting! #InsudPharma #Challenger #Insuder #InsudTalent COMMITMENT TO EQUAL OPPORTUNITIES The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

In a few words Position: Data Engineer MLE Location: Madrid (Chamberí area). Want to know more? 👇 INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. Ready to be a #Challenger? What are we looking for? 🔎 We're AI Labs — the applied AI team at Insud Pharma. 30 people. AI Engineers, Data Scientists, DevOps Engineers, Product Managers building the systems that power how trials get designed, how patients get recruited, and how everything gets monitored once the trial is live. Clinical trials run on data. Bad pipelines, slow models, and infrastructure that breaks under pressure can cost months — or worse, the trial itself. We are seeking a highly skilled Data Engineer / Machine Learning Engineer to join our Applied AI Team. The ideal candidate combines strong software engineering foundations with hands-on experience in data pipelines and machine learning systems, and enjoys working at the intersection between data, models, and production systems. As a Data Engineer / MLE at AI Labs, you will work closely with data scientists, software engineers, and product owners to design, build, deploy, and operate end-to-end data and machine learning solutions across multiple business units — including Regulatory, Clinical Trials, R&D, Pharmacovigilance, and Drug Manufacturing. This role is critical to ensuring that AI models move reliably from experimentation to production, supported by scalable data pipelines, robust ML infrastructure, and strong engineering standards. How the team works: AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work. We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. The challenge! • Design, build, and maintain scalable data pipelines for data ingestion, transformation, and serving, supporting both analytics and machine learning use cases., • Develop and productionize machine learning pipelines, covering training, validation, deployment, and monitoring., • Collaborate closely with Data Scientists to translate notebooks and prototypes into robust, production-ready ML systems., • Implement model deployment patterns (batch, real-time, or hybrid) using APIs, scheduled jobs, or event-driven architectures., • Build and maintain feature pipelines and data abstractions that enable reproducible and reliable model behavior., • Ensure data quality, versioning, and traceability across datasets and models., • Optimize pipelines and ML workloads for performance, scalability, and cost efficiency., • Work with DevOps and Platform teams to deploy solutions using containerization and CI/CD best practices., • Contribute to defining data engineering and MLOps standards across AI Labs. Participate in code reviews, documentation, and mentoring to foster a culture of engineering excellence. What do you need? • Proficient in Spanish and English, written and verbal communication., • Strong proficiency in Python, including clean code practices, packaging, and modular design., • Solid understanding of software engineering principles (OOP, SOLID, testing, version control)., • Hands-on experience building data pipelines (ETL / ELT) using Python-based frameworks or custom solutions., • Experience working with machine learning workflows, including model training, evaluation, and deployment., • Familiarity with REST APIs and service-based architectures (FastAPI, Flask, or similar)., • Strong experience with Git and collaborative development workflows., • Experience with containerization (Docker) and cloud environments (AWS or Azure)., • Experience with MLOps practices (model versioning, monitoring, drift detection, retraining strategies)., • Familiarity with orchestration tools (e.g., Airflow, Prefect, Dagster)., • Experience with data storage systems (SQL / NoSQL databases, data lakes, object storage)., • Exposure to streaming or event-driven architectures., • Experience deploying or operating ML systems in regulated or high-reliability environments., • Familiarity with ML frameworks and scientific libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow)., • Interest in applied AI topics such as NLP, LLM-based systems, or scientific computing. Our benefits! ⏰ Flexible start time from Monday to Friday 📜 Permanent contract. 🥼 Life and accident insurance. 🍽️ Ticket restaurant 💻 Training and language learning platform 💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions 🚕 Cabify transportation service for employee use 📈 Development plans, internal mobility policy. ⭐ Many more! What will the Selection process be like? 🕵️ ➡️ Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels. ➡️ Prepare well! We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test. ➡️ Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process. 🔷 Do you think this offer is not for you? 🔷 Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting! #InsudPharma #Challenger #Insuder #InsudTalent COMMITMENT TO EQUAL OPPORTUNITIES The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

In a few words Position: AI Product Manager for IA Labs Location: Madrid (Chamberí area). Want to know more? 👇 INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. Ready to be a #Challenger? What are we looking for? 🔎 We are the AI Labs team, the applied AI department at Insud Pharma. We are a team of 30 professionals (AI Engineers, Data Scientists, DevOps Engineers, and Product Managers) working across the full breadth of the company, building products, models, and analytical solutions that directly inform and shape decision-making. We are looking for an AI Product Manager who can bridge the gap between complex technical work and real business impact. You will own the end-to-end lifecycle of AI products—from identifying opportunities and framing problems, through prioritization and roadmap definition, to delivery and adoption across the organization. This includes both analytical/model-driven solutions and AI-powered software products and features. You will work closely with Data Scientists, AI Engineers, and Software Engineers to translate ambiguous business challenges into well-scoped, buildable solutions, and with stakeholders across the company to ensure those solutions actually get used. We are seeking someone who is genuinely curious about AI and its capabilities and limitations, rigorous enough to make sound prioritization calls under uncertainty, and independent enough to drive products forward while keeping cross-functional teams aligned and motivated. How the team works: AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work. We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. The challenge! • Collaborate with small, cross-functional teams. Each product is run by a small group — typically a Product Manager, a Data Scientist, AI or Software Engineers, and key stakeholders. Iteration is fast, feedback loops are short, and your contribution is visible from day one., • Identify and scope high-impact AI opportunities across diverse domains (commercial & sales, R&D, drug manufacturing, process optimization, clinical trials, and beyond), working closely with stakeholders to understand their needs and constraints., • Define product vision, roadmaps, and priorities, balancing technical feasibility, business value, and delivery timelines., • Translate ambiguous business problems into clear requirements and success criteria that Data Scientists, AI Engineers, and Software Engineers can act on., • Own delivery, breaking down work into clear, actionable milestones and holding the bar on execution so products ship and reach adoption, not just get defined., • Drive the delivery of AI-powered software products and features, working together with Software Engineers to ensure models and analytical solutions are properly integrated into robust, usable applications., • Communicate progress, trade-offs, and results clearly to both technical and non-technical audiences, enabling informed, data-driven decisions at all levels of the organization. What do you need? • Experience managing or working closely with technical products, ideally involving data, analytics, AI/ML, or software components., • Proven ability to identify opportunities and frame problems from the ground up, and to translate them into clear prioritization and roadmap decisions., • Solid understanding of the AI/ML product lifecycle, including the ability to assess technical feasibility and constraints in collaboration with technical and engineering teams., • Strong stakeholder management skills, with the ability to align diverse interests and drive consensus across technical and business teams., • Proven ability to translate complex technical concepts into actionable plans for non-technical audiences., • Familiarity with agile methodologies and product management tools (e.g., Jira, Confluence, or similar)., • Good understanding of data science, machine learning, LLM’s and software development concepts (e.g., model evaluation, data pipelines, APIs, system architecture) is highly valued., • Experience working in regulated industries (pharma, healthcare, or similar) is a plus., • Proficient in Spanish and English in written and verbal communication. Our benefits! ⏰ Flexible start time from Monday to Friday 📜 Permanent contract. 🥼 Life and accident insurance. 🍽️ Ticket restaurant 💻 Training and language learning platform 💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions 🚕 Cabify transportation service for employee use 📈 Development plans, internal mobility policy. ⭐ Many more! 🔷 Do you think this offer is not for you? 🔷 Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting! #InsudPharma #Challenger #Insuder #InsudTalent COMMITMENT TO EQUAL OPPORTUNITIES The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

In a few words Position: Data Engineer MLE Location: Madrid (Chamberí area). Want to know more? 👇 INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. Ready to be a #Challenger? What are we looking for? 🔎 We're AI Labs — the applied AI team at Insud Pharma. 30 people. AI Engineers, Data Scientists, DevOps Engineers, Product Managers building the systems that power how trials get designed, how patients get recruited, and how everything gets monitored once the trial is live. Clinical trials run on data. Bad pipelines, slow models, and infrastructure that breaks under pressure can cost months — or worse, the trial itself. We are seeking a highly skilled Data Engineer / Machine Learning Engineer to join our Applied AI Team. The ideal candidate combines strong software engineering foundations with hands-on experience in data pipelines and machine learning systems, and enjoys working at the intersection between data, models, and production systems. As a Data Engineer / MLE at AI Labs, you will work closely with data scientists, software engineers, and product owners to design, build, deploy, and operate end-to-end data and machine learning solutions across multiple business units — including Regulatory, Clinical Trials, R&D, Pharmacovigilance, and Drug Manufacturing. This role is critical to ensuring that AI models move reliably from experimentation to production, supported by scalable data pipelines, robust ML infrastructure, and strong engineering standards. How the team works: AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work. We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. The challenge! • Design, build, and maintain scalable data pipelines for data ingestion, transformation, and serving, supporting both analytics and machine learning use cases., • Develop and productionize machine learning pipelines, covering training, validation, deployment, and monitoring., • Collaborate closely with Data Scientists to translate notebooks and prototypes into robust, production-ready ML systems., • Implement model deployment patterns (batch, real-time, or hybrid) using APIs, scheduled jobs, or event-driven architectures., • Build and maintain feature pipelines and data abstractions that enable reproducible and reliable model behavior., • Ensure data quality, versioning, and traceability across datasets and models., • Optimize pipelines and ML workloads for performance, scalability, and cost efficiency., • Work with DevOps and Platform teams to deploy solutions using containerization and CI/CD best practices., • Contribute to defining data engineering and MLOps standards across AI Labs. Participate in code reviews, documentation, and mentoring to foster a culture of engineering excellence. What do you need? • Proficient in Spanish and English, written and verbal communication., • Strong proficiency in Python, including clean code practices, packaging, and modular design., • Solid understanding of software engineering principles (OOP, SOLID, testing, version control)., • Hands-on experience building data pipelines (ETL / ELT) using Python-based frameworks or custom solutions., • Experience working with machine learning workflows, including model training, evaluation, and deployment., • Familiarity with REST APIs and service-based architectures (FastAPI, Flask, or similar)., • Strong experience with Git and collaborative development workflows., • Experience with containerization (Docker) and cloud environments (AWS or Azure)., • Experience with MLOps practices (model versioning, monitoring, drift detection, retraining strategies)., • Familiarity with orchestration tools (e.g., Airflow, Prefect, Dagster)., • Experience with data storage systems (SQL / NoSQL databases, data lakes, object storage)., • Exposure to streaming or event-driven architectures., • Experience deploying or operating ML systems in regulated or high-reliability environments., • Familiarity with ML frameworks and scientific libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow)., • Interest in applied AI topics such as NLP, LLM-based systems, or scientific computing. Our benefits! ⏰ Flexible start time from Monday to Friday 📜 Permanent contract. 🥼 Life and accident insurance. 🍽️ Ticket restaurant 💻 Training and language learning platform 💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions 🚕 Cabify transportation service for employee use 📈 Development plans, internal mobility policy. ⭐ Many more! What will the Selection process be like? 🕵️ ➡️ Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels. ➡️ Prepare well! We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test. ➡️ Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process. 🔷 Do you think this offer is not for you? 🔷 Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting! #InsudPharma #Challenger #Insuder #InsudTalent COMMITMENT TO EQUAL OPPORTUNITIES The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

In a few words Position: AI Product Manager for IA Labs Location: Madrid (Chamberí area). Want to know more? 👇 INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health. The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development. Ready to be a #Challenger? What are we looking for? 🔎 We are the AI Labs team, the applied AI department at Insud Pharma. We are a team of 30 professionals (AI Engineers, Data Scientists, DevOps Engineers, and Product Managers) working across the full breadth of the company, building products, models, and analytical solutions that directly inform and shape decision-making. We are looking for an AI Product Manager who can bridge the gap between complex technical work and real business impact. You will own the end-to-end lifecycle of AI products—from identifying opportunities and framing problems, through prioritization and roadmap definition, to delivery and adoption across the organization. This includes both analytical/model-driven solutions and AI-powered software products and features. You will work closely with Data Scientists, AI Engineers, and Software Engineers to translate ambiguous business challenges into well-scoped, buildable solutions, and with stakeholders across the company to ensure those solutions actually get used. We are seeking someone who is genuinely curious about AI and its capabilities and limitations, rigorous enough to make sound prioritization calls under uncertainty, and independent enough to drive products forward while keeping cross-functional teams aligned and motivated. How the team works: AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. You will work alongside Data Scientists, AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work. We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city. The challenge! • Collaborate with small, cross-functional teams. Each product is run by a small group — typically a Product Manager, a Data Scientist, AI or Software Engineers, and key stakeholders. Iteration is fast, feedback loops are short, and your contribution is visible from day one., • Identify and scope high-impact AI opportunities across diverse domains (commercial & sales, R&D, drug manufacturing, process optimization, clinical trials, and beyond), working closely with stakeholders to understand their needs and constraints., • Define product vision, roadmaps, and priorities, balancing technical feasibility, business value, and delivery timelines., • Translate ambiguous business problems into clear requirements and success criteria that Data Scientists, AI Engineers, and Software Engineers can act on., • Own delivery, breaking down work into clear, actionable milestones and holding the bar on execution so products ship and reach adoption, not just get defined., • Drive the delivery of AI-powered software products and features, working together with Software Engineers to ensure models and analytical solutions are properly integrated into robust, usable applications., • Communicate progress, trade-offs, and results clearly to both technical and non-technical audiences, enabling informed, data-driven decisions at all levels of the organization. What do you need? • Experience managing or working closely with technical products, ideally involving data, analytics, AI/ML, or software components., • Proven ability to identify opportunities and frame problems from the ground up, and to translate them into clear prioritization and roadmap decisions., • Solid understanding of the AI/ML product lifecycle, including the ability to assess technical feasibility and constraints in collaboration with technical and engineering teams., • Strong stakeholder management skills, with the ability to align diverse interests and drive consensus across technical and business teams., • Proven ability to translate complex technical concepts into actionable plans for non-technical audiences., • Familiarity with agile methodologies and product management tools (e.g., Jira, Confluence, or similar)., • Good understanding of data science, machine learning, LLM’s and software development concepts (e.g., model evaluation, data pipelines, APIs, system architecture) is highly valued., • Experience working in regulated industries (pharma, healthcare, or similar) is a plus., • Proficient in Spanish and English in written and verbal communication. Our benefits! ⏰ Flexible start time from Monday to Friday 📜 Permanent contract. 🥼 Life and accident insurance. 🍽️ Ticket restaurant 💻 Training and language learning platform 💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions 🚕 Cabify transportation service for employee use 📈 Development plans, internal mobility policy. ⭐ Many more! 🔷 Do you think this offer is not for you? 🔷 Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting! #InsudPharma #Challenger #Insuder #InsudTalent COMMITMENT TO EQUAL OPPORTUNITIES The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.

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