Role Description Als Werkstudent:in (m/w/d) bist du Teil eines dynamischen Teams und verantwortest vielseitige Aufgaben für die Unterstützung unserer internen IT. - Administration und Weiterentwicklung unserer cloudbasierten Microsoft-365-Umgebung sowie angebundener SaaS-Anwendungen wie Miro und MOCO - First-Level-Support für unsere Mitarbeitenden bei Hard- und Softwareproblemen - Unterstützung bei operativen Aufgaben der Cybersecurity, z. B. Bedrohungsmonitoring, Patchmanagement und Pflege von Sicherheitsrichtlinien - Mitarbeit im Betrieb und der Einführung interner Eigenentwicklungen und Automatisierungen mit Microsoft Power Automate - Pflege und Weiterentwicklung unserer internen IT-Dokumentation Qualifications - Laufendes Studium der Informatik, Wirtschaftsinformatik oder eines vergleichbaren Studiengangs - Interesse an IT-Infrastruktur, Systemadministration und IT-Prozessen - Idealerweise erste Erfahrungen mit Windows, Microsoft 365 sowie Hard- und Software-Support - Strukturierte und sorgfältige Arbeitsweise sowie Freude daran, technische Probleme zu lösen - Selbstständigkeit, Teamgeist sowie eine hohe Motivation und Lernbereitschaft - Gute Deutschkenntnisse sowie grundlegende Englischkenntnisse Benefits - Spannende und aktuelle Themen mit direktem Bezug zur Praxis - Profitiere von unserer Start-up Atmosphäre: Ein lockeres, freundliches und offenes Arbeitsumfeld, in dem du etwas bewegen kannst - Nutze die flexiblen Arbeitszeiten und -orte für deine Study-Life-Balance - Entwickle dich in einem motivierten kompetenten Team mit flachen Hierarchien - Sammle relevante Praxiserfahrung für deinen Einstieg ins Berufsleben

• Lead AI enablement across the group • Conduct assessments: run structured assessments with each business team to map workflows, skills, and current AI usage before any enablement is planned. • Find and solve pain points: collect the team's real pain points and use cases, prioritize them, and turn them into concrete enablement plans, working AI skills, or recommendations for specialist tools. • Deliver concrete outcomes: ensure every workshop targets the team's own use cases and produces walk-away artifacts: working skills, prompts, and tools the team uses the next day. • Activate champions: identify champions inside each team, work with them 1:1, and make their results visible to client leadership so momentum is seen at the top. • Assess and track adoption KPIs: set realistic adoption targets per team, measure actual usage after each enablement cycle, and report progress transparently to the client and internally.

Title: (Databricks) AI Instructor Location: Amsterdam North Holland NL Job Description: About RevoData RevoData is a boutique Data & AI consultancy and proud Databricks Gold partner. We focus exclusively on Databricks, allowing us to go deep and do things properly. We help companies across Europe unlock the value in their data, helping them design and build scalable platforms that support real business use cases. We foster a no-ego, no-nonsense culture where collaboration, proactivity and knowledge sharing are part of everyday work. Sound like your kind of environment? Then keep scrolling! Requirements Training is a core part of RevoData's offering. As organizations move from experimenting with GenAI to putting it into production, they need people who can help their teams truly understand it. Whether companies are adopting Databricks AI for the first time, rolling out agents and analytics to their business users, or upskilling their teams in AI/BI, GenAI and Agent systems - our instructors play a crucial role in helping them succeed. As our AI Instructor, you will deliver high-quality Databricks AI trainings to data and business professionals across Europe, with a strong focus on virtual sessions. You'll guide learners through complex concepts - from AI/BI Dashboards and Genie (natural-language Text2SQL), to Knowledge Assistants, RAG, and multi-agent systems - in an engaging, structured way, and ensure every training, whether 4 hours or multi-day, is impactful and smooth from start to finish. Alongside teaching, you'll help strengthen and streamline how we run our training operations: coordinating schedules, improving processes, and working closely with our internal team and Databricks to continuously raise the bar. About You You have a passion for teaching and a natural ability to explain technical concepts clearly. You don't need to have been an ML engineer or data scientist, but you're comfortable with data and AI fundamentals, have basic programming capabilities, and learn new concepts quickly. You enjoy being in front of a group - virtual or in-person - and you know how to hold attention, adjust your communication style, and keep learners engaged even in the seventh hour of training. You're calm, patient, structured, and genuinely enjoy supporting others in their learning journey. You don't need extremely deep Databricks or GenAI expertise on day one - we'll give you dedicated time in your first months to learn, get certified, and ramp up before delivering your first training. What You'll Do - Deliver engaging Databricks AI trainings - primarily virtual and in English - covering AI/BI Dashboards and Genie (Text2SQL), Knowledge Assistants and RAG, Vector Search, Supervisor / Multi-Agent systems, and applied GenAI on the Databricks Data Intelligence Platform. - In a smaller portion of your time, also deliver trainings on BI and Data Engineering topics as demand requires. - Ensure smooth training operations: coordinating schedules, preparing materials, managing the training Slack channels, and handling last-minute requests when they arise. - Guide learners through complex technical topics in a structured, clear and approachable way, adjusting your style to the needs of the group. - Collaborate closely with our instructors and Databricks to strengthen our training program and maintain high delivery standards. - Take ownership of improving how training is organised - from spotting inefficiencies to proposing and implementing better ways of working. - Play a key role in growing our virtual training capacity, helping RevoData meet increasing demand while ensuring consistency and quality. What You Bring - A strong motivation to teach and a genuine interest in being a full-time instructor, not someone who wants to teach on the side. - Solid presentation skills - you can explain technical concepts clearly to different audiences and maintain confidence and kindness throughout. - Experience working with data or AI in some capacity, combined with programming skills (Python and SQL). - A fast-learning, analytical mindset that helps you pick up new tools and concepts quickly. - Patience, empathy, and the ability to remain calm and supportive even when asked the same question multiple times. - A proactive, organised way of working and the confidence to take ownership of processes, structure, and scheduling. - Teaching, mentoring or coaching experience is a plus but not required; what matters is your motivation and ability to deliver training with clarity and energy. - Proficiency in English is essential; an additional language is also required - French, Italian, Dutch, Portuguese, German or Spanish. - Willingness to travel approximately 20% of the time, mainly within the EU. - A PhD, or experience in research or academia, is a plus. - Databricks experience is a plus. Benefits - Tech Playground: Love experimenting? So do we. Play around with Databricks AI/BI, Genie, Agent Bricks, Vector Search, Terraform, Terragrunt, Asset Bundles, CI/CD, monitoring & alerting tools, Cursor and more. - Unlimited Learning: Take advantage of our partner academies, weekly workshops, and lunch & learns. - Fun Clubs: Join our climbing club, padel club, Dutch club or start your own club! - Work-Life Balance: We trust you to get the job done — whether you're an early bird or a night owl. Our hybrid set up includes Wednesdays at our HQ in NDSM, typically two days at the client's office and the rest is up to you: work from home or join us at the office. - Wellbeing Budget: €75 net wellbeing budget to spend however you like — some recent spends have included gym memberships, bouldering shoes, a Calm-app subscription or a trip to the hairdresser! - Allowances: Every month work from home, travel & internet/phone allowance. - Additional Perks: Pension plan, lunch at the office, quarterly events, workation option & a pet-friendly office in the heart of NDSM! We'd Love to Meet You! If you resonate with our technology, culture, and vision, we're excited to meet you! Apply directly through this vacancy, our website, or connect with me on LinkedIn. We appreciate a CV that goes beyond your experience — a picture of your pet, a podcast you're currently enjoying or a fun fact are always welcome! We value getting to know you better, and our final interview takes place in person at our Amsterdam office. Please note, we do not cover interview travel costs or relocation expenses and cannot provide visa sponsorships as we are not registered as a referee employer. Candidates who already have the right to work in the Netherlands or elsewhere in the EU and are open to relocating are welcome to apply. Additional Info RevoData has been growing rapidly and we're looking to expand our team now — if you're ready to hit the ground running, we'd love to hear from you! We are open to hiring at Medior, Senior & Principal level for this position. Our Medior annual salary range is €50,000–€65,000, Senior €65,000–€90,000 & Principal €90,000–€110,000. Your level will be determined throughout our interview process, and we'll discuss the corresponding salary band with you as part of those conversations.

Title: Head of Optimisation Location: New York, United States Job Description: Who we are Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information-services company powered by digital innovation, analytical rigour and evidence-based insight. Across our three businesses -The Economist, Economist Enterprise and Economist Education - we deliver trusted analysis and insights to individuals and organisations in more than 170 countries. United by a shared purpose to drive progress, we empower decision-makers to make sense of change and chart a course through an increasingly complex world. As a colleague, you will be part of a culture that values ideas, encourages ownership and holds itself to high standards. We invest in people who are curious, thoughtful and adaptable, whether they are launching new products, reporting on global events or harnessing emerging technologies such as AI to improve how we work. Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised. Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact. The Economist is seeking a visionary Head of Optimization to lead our organic growth strategy across three critical pillars: Search Engine Optimization (SEO), App Store Optimization (ASO), and AI Optimization (AIO). As consumption habits shift from traditional keyword searches to conversational AI and mobile-first platforms, this role will ensure our world-class journalism remains highly visible, authoritative, and easily discoverable. You will lead a cross-functional squad of technical specialists, data analysts, and content strategists to drive high-intent subscriber acquisition, app downloads, and brand authority across all digital discovery engines. Key Responsibilities - AI Optimization (AIO) & Generative Search Strategy - LLM Footprint Management: Monitor, measure, and optimize how major Large Language Models (LLMs) like ChatGPT, Claude, Gemini, and Perplexity cite, synthesize, and recommend The Economist. - Publisher Graph Authority: Manage relationships between our paywalled content and AI web-crawlers, balancing data protection with visibility in AI Overviews and answer engines. - Citation & Entity Mapping: Ensure our data, charts, and deep-dives are properly structured to serve as the foundational truth data for AI agents. - Search Engine Optimization (SEO) & Editorial Collaboration - Subscription Growth: Optimize the digital journey for premium paywalled content, maximizing organic traffic to subscriber acquisition landers. - Newsroom Integration: Partner with the editorial team to implement real-time SEO best practices for evergreen analysis and multimedia content without compromising editorial integrity. - Technical SEO Excellence: Work with product and editorial to optimise site architecture, internal linking, core web vitals, and structured schema implementation to facilitate fast crawling and indexing. - App Store Optimization (ASO) & Mobile Growth - App Acquisition: Own the organic download strategy for The Economist app on the Apple App Store and Google Play Store. - Visual & Metadata Testing: Run relentless A/B testing on app store icons, preview videos, screenshots, and localized descriptions to maximize view-to-install conversion rates. - App Store Discovery Algorithms: Adapt mobile strategies to increasingly personalized and AI-driven app store recommendation systems. - Conversion Rate and Lifetime Value Optimisation (CRO) - Manage a cross-functional team responsible for our conversion rate optimisation (CRO) and testing programme - Ensure our customer journeys convert efficiently and effectively across regions and channels - Own and manage the testing and experimentation roadmap to drive continuous performance improvement Experience & Requirements - Experience: 7+ years of digital optimization experience, with at least 3 years in a leadership role within a premium B2C subscription, digital media, or publisher environment. - Technical Proficiency: Deep understanding of web rendering, API access controls, paywall-friendly indexing, and schema markup. - AI Tooling Literacy: Proven experience tracking visibility inside conversational engines using modern AI-tracking metrics and rank trackers. - Analytical Mindset: Expert-level capability with tools like Google Analytics 4, Search Console, Looker Studio, and enterprise ASO tools (e.g., AppTweak, Sensor Tower). The expected base salary for this position is $105,000 - $140,000 base plus a performance related bonus. It is not typical for offers to be made at or near the top of the range. Rather, salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. #LI-Hybrid Working Arrangements The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required. AI usage for your application We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications. What we offer Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.