Find Your Dream Career

The Team + The Role Pendo's Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. As a Senior Customer Engineer you will own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You will lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact will extend beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team. This role is based in our London office. What this looks like day-to-day New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and growth across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops. Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute at least one reusable framework, playbook, or process that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy. Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes. Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time. Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team. Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward. Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed. Who You Are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work. You're AI-curious - genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut. Must-haves Passion for working with customers and building strong and impactful customer relationships 5 to 8 years of experience in a customer-facing technical role such as Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture. Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations. Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements. Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs. Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization. Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation. Experience mentoring or coaching more junior technical team members. Nice-to-haves Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment. Hands-on experience with mobile app development, including Swift, Android, or React Native. Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation. Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team. About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: Pendo is a hybrid culture. In-office 3 days per week in London, UK Compensation: Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Benefits: Comprehensive, top-tier coverage (medical, dental, life) combined with pension match, equity, and high-value lifestyle perks. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: ----- All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. #LI-Hybrid Find more English Speaking Jobs in United Kingdom on Arbeitnow

Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved clothing and lifestyle items, giving each piece a second life – or even a third. The Vinted Group is made up of three business units that support this mission: Vinted Marketplace is Europe's leading platform for second-hand fashion and a go-to destination for all kinds of pre-loved items, with a growing range of categories. Our platform connects millions of members across 20+ markets, helping great items find a new life. Vinted Go enhances the shipping experience with a vast network of over 500,000 pick-up and drop-off points, partnering with more than 60 carriers across Europe, with added services like item verification for peace of mind on high-value pieces. Vinted Pay is the newest part of the Vinted Group, dedicated to bringing secure, reliable payments to buyers and sellers across Europe. Seamlessly integrated into the Vinted app, it helps keep every transaction safe, efficient, and easy for our members. Founded in 2008 in Lithuania, Vinted began as a way for friends to find new homes for clothes they no longer needed. In 2019, we became Lithuania's first unicorn! Today, our headquarters remain in Vilnius, and we've grown with offices across Europe, supported by a team of over 2,000 people. Information about the position Pricing & Services sub-domain is part of Vinted Marketplace and focuses on delivering the highest value to our members through pricing, escrow, visibility, and verification services. It shapes how integrated shipping and buyer protection, visibility, and verification services are offered to members, defining the eligibility and applicability of these services, as well as how they are sold and marketed, including branding, communication and pricing. The subdomain also plays a significant role in defining how Vinted invests into growing new markets and categories, ensuring that the investments are efficient. In this role, you'll join a cross-functional product team and collaborate closely with a Product Manager, Engineering Manager, Designer, and Engineers. You will contribute significantly to defining the strategy of the new monetization streams at Vinted, including their eligibility and pricing. You will also work with the team in developing experimentation plans to validate the strategic direction and measure business impact. This is a dynamic role requiring strategic thinking, strong problem-solving, and the ability to balance multiple tracks at once. You'll significantly contribute to shaping the strategy of future monetization of the marketplace, while supporting product changes that drive both member value and business impact. In this position, you'll Partner with your team and stakeholders at Vinted, to define strategy of the monetization streams, provide data-driven recommendations, as well as answer critical business questions. Develop experimentation plans that help the team to validate the strategic direction and understand business impact of implemented features, using statistical methods and visualisation tools. Define, implement, and monitor your team's key performance indicators, proactively flagging issues, running analyses and understanding root causes. Enable your team and direct stakeholders to independently leverage data for business insights via self-service dashboards. Contribute to a data-driven culture by promoting best practices in analytics and decision-making to make data count. Ensure new business initiatives have been reviewed through the eyes of a decision scientist and proven to be impactful. About you Experience in a Decision Science or Data Analytics role Good analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact Strong stakeholder management skills, ability to work with multiple stakeholders Experience with SQL and Python Knowledge of statistical methods, such as A/B testing, regression analysis, and other inferential techniques A proactive individual who thrives in a fast-paced, constantly evolving business environment Highly results-oriented and comfortable with iterative processes Strong communicator who can convincingly present results to both technical and non-technical audiences Fluent in English, both written and spoken Experience with BI tools (e.g., Looker, Tableau, Power BI) Work perks The opportunity to benefit from our share options programme 25 working days of holiday Access to all the tools & tech needed for work Home office support: we provide IT workstation equipment and a personal budget of up to €540 for home workplace furniture Private health insurance Digital mental and emotional health support and Employee Assistant Program (EAP) Frequent team-building events A personal monthly budget for shopping on Vinted The opportunity to spend up to 90 days per year - 21 of which can be spent working outside of the EU - on workation A dog-friendly office In Vilnius office: Gym & in-house meals at friendly prices In Kaunas office: a monthly lunch allowance, and a once-a-week provided in-house lunch and breakfast Working at Vinted Individual Learning Budget We invest in your professional growth! As part of our commitment to continuous learning, we offer an annual learning budget to support your personal and career development through courses, certifications, workshops and more. Hybrid Work We've adopted a hybrid workplace model where 2 days in office are recommended but not enforced. It's up to you and your team to decide on the exact days you'll spend working together in person. Equal Opportunity The Vinted Group is committed to building an inclusive workplace where people from all walks of life feel a sense of belonging. We welcome applications from people of all backgrounds, identities and life experiences. At Vinted, all applicants are treated fairly without regard to their race, age, religion or belief, sex, national origin, citizenship, gender identity, sexual orientation, disability, or any other protected characteristic. The annual gross salary range for this position is: €74.000 — €100.100 EUR Find more English Speaking Jobs in Germany on Arbeitnow

KI-Systeme bauen, integrieren und beim Mittelstand zum Laufen bringen. Du baust KI-Systeme, die wirklich laufen – RAG-Pipelines, Agenten, Automatisierungen. Und Du willst nicht im Backlog eines Produktteams verschwinden, sondern direkt beim Kunden sehen, was deine Lösung bewirkt. Als Forward Deployed AI Engineer bei Neurawork bist Du die technische Instanz in unseren Kundenprojekten im Mittelstand: Du verstehst die Prozesse des Kunden, entwirfst die Architektur, integrierst unsere Standardprodukte tief in seine Systemlandschaft und sorgst dafür, dass am Ende etwas produktiv läuft – nicht nur auf Folien existiert. Weil Du technisch weißt, wovon du sprichst, berätst du Kunden auf Augenhöhe – bis in die Geschäftsführung. Wir arbeiten nach unserem eigenen Operational-AI-Vorgehensmodell. Wir sind keine Automation-Agentur und keine Custom-Softwareentwickler: Wir setzen auf standardisierte Produkte als Hebel und passen sie bis zur vollständigen Integration an. Wir kreieren echten, messbaren Mehrwert – und stehen dafür ein. Aufgaben Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI, Automatisierung) in bestehende Systemlandschaften – Cloud oder lokal Technische Machbarkeit bewerten: Use Cases auf Umsetzbarkeit, Datenlage, Kosten und Grenzen prüfen und nach Wirkung priorisieren Enge Zusammenarbeit mit der Kunden-IT: Schnittstellen, Datenanbindung, Sicherheit, Betrieb Beratung mit technischer Substanz: Kunden von der Fachabteilung bis zur Geschäftsführung fundiert beraten – Roadmaps, die technisch tragen Mitgestaltung unserer Frameworks und Produkte: Erkenntnisse aus Projekten zurückspielen Wissenstransfer: Live-Sessions aus laufenden Projekten in unserer KI-Ausbildung mit anschließendem TÜV-SÜD Zertifikat und im KI- Business-Coaching Wie wir arbeiten Framework-driven statt ad hoc – und du gestaltest die Frameworks mit Standardprodukte als Hebel, Anpassungen bis zur Full-Integration selbstverständlich Wert statt Stunden – Ergebnisse statt Tagessätze Direkter Draht zum Founding-Team, keine Beratungspyramide Präsenz online wie offline; GF Christoph Knöll ist sichtbar in der DACH-KI-Szene (data:unplugged, TÜV SÜD, LinkedIn) Qualifikationen Was wir suchen Studium im MINT-Bereich (z. B. Informatik, Mathematik, Physik, Ingenieurwissenschaften) oder einen vergleichbar tiefen technischen Werdegang Selbst gebaute KI-Systeme: Du hast mindestens ein KI-System selbst konzipiert und umgesetzt – z. B. eine RAG-Pipeline, einen produktiven Agenten oder eine technisch verantwortete Automatisierung Tiefes technisches Verständnis von LLMs, Retrieval, Agentic AI, Cloud vs. lokalem Betrieb – inklusive der Grenzen Sicherer Umgang mit Code (z. B. Python), APIs und Datenanbindung 3+ Jahre Berufserfahrung in technischer Umsetzung (z. B. als Engineer, Data Scientist, Entwickler:in, technische:r Projektleiter:in); Kundenkontakt oder Beratungserfahrung ist ein Plus Freude daran, Technik verständlich zu erklären – idealerweise Erfahrung mit Workshops, Vorträgen oder Live-Sessions Verhandlungssicheres Deutsch, gutes Englisch Wohnsitz in Deutschland Nicht passend für dich, wenn … Du eine Zertifizierung ohne Track Record hast, Du lieber Strategien entwickelst, als selbst Hand an Systeme zu legen, Du noch kein KI-System selbst gebaut hast, das Du zeigen kannst. Benefits Was wir bieten Mandatsverantwortung ab dem ersten Projekt, ohne Layer über dir Fachlicher Austausch mit der KI-Elite in Deutschland - in unserem Team bist du immer am Zahn der Zeit Moderner Tech-Stack und Raum zur Vertestung Sichtbarkeit als Experte über unsere KI-Business-Coaching-Community und TÜV-SÜD-Kooperation Voll-remote möglich— Teamtage und Kundenworkshops vor Ort, üblicherweise 2-4 Tage/Monat im DACH-Raum Direkter Draht zur Geschäftsführung, kurze Entscheidungswege Marktgerechtes Gehalt bei schnellen Wachstumsmöglichkeiten Bewerbung: Bring Dein Projekt mit! Schick uns Deinen Lebenslauf und bring uns Dein Projekt mit ! Beschriebe uns in 3–5 Sätzen das KI-Projekt, das du uns im Zweitgespräch gerne zeigen würdest : Was löst es, wie ist es aufgebaut, welchen Teil hast du selbst umgesetzt? Ein Link zu GitHub, Demo-Video o. Ä. ist willkommen. Beruflich, privat oder Open Source – alles zählt, solange du es selbst umgesetzt hast. Vertrauliche Kundenprojekte gern anonymisiert oder mit Beispieldaten Wir freuen uns darauf, Dich und Dein Projekt kennenzulernen! Find Jobs in Germany on Arbeitnow

🚀 We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or UK Remote | 💰 £150,000 - £200, 000 + Equity + Benefits About our Data Discipline We have a strong culture of data-driven decision making across the whole company. Data is central to how we understand our customers, shape our products, manage risk and grow Monzo sustainably. We believe in empowering teams with high-quality, trusted data and self-serve analytics, while creating space for Data practitioners to focus on the highest-impact questions, opportunities and decisions. Our Data discipline is centralised, but deeply embedded in Monzo's product areas. Data Scientists, Analytics Engineers, Machine Learning Engineers and Analysts work in cross-functional squads alongside Engineers, Designers, Product Managers, Marketers and other specialists. This means Data is not a downstream service: we help shape strategy, challenge thinking, build the data foundations teams need to move quickly, and share accountability for customer and commercial outcomes. Our Payments team ⭐ At Monzo, payments are more than just moving money from A to B. They are a core part of how customers experience trust, speed, and financial control every day. As a Data Director in Payments, you would help shape seamless local payment experiences, ensuring customers can pay and get paid reliably while continuing to modernise the infrastructure that powers millions of transactions behind the scenes. The role also sits at the intersection of Monzo's broader ambition to build truly borderless banking and expand into new markets. That means designing products and payment capabilities that work effortlessly across geographies, currencies, and customer needs, while helping Monzo scale into new markets with the same simplicity and transparency that defines the brand today. You'll partner closely with Product, Engineering, and Design to help shape Monzo's payments strategy to make Monzo's global ambitions a reality, enabling revenue and customer growth with a resilient, self-serve banking platform. To succeed, you should be excited about solving tough, ambiguous business problems with analytical rigour, commercial viability and execution effectiveness Your day-to-day Establish yourself as a trusted member of the Payments Leadership team, enabling better decisions across Payments and the wider Data Discipline Co-drive Payments strategy and product decisions with Product and Engineering, bringing Data into discovery early to shape priorities and challenge thinking Identify untapped opportunities for commercial optimisation, including across pricing, commercialisation, investment and customer growth Set the data strategy for Payments, including the operating model, team priorities, architecture, technical debt and key metrics and drivers Translate between technical, product and commercial perspectives to help teams make clear, high-impact decisions Develop and scale a high-performing team of data professionals sharing accountability for product and business outcomes. You should apply if: What we're doing here at Monzo excites you! You have experience driving payments innovation and product strategy forward in a fast-growing business You combine deep Data expertise with strong product and commercial judgement. You can move comfortably from detailed metrics or architecture discussions to customer strategy, pricing and business outcomes You are an empathetic people leader who can build trust quickly, raise the performance bar and retain excellent talent You have experience growing and leading a full stack data team, including individual contributors and managers across Data Science, Analytics Engineering, Machine Learning Engineering and Analytics You have experience collaborating with senior cross-functional stakeholders across Product, Engineering, Design, Marketing and risk/control functions The Interview Process After an informal ~30 min recruiter call, our interview process involves 2 main stages. We promise not to ask you any brain teasers or trick questions! Initial Call (1 hour) You'll meet with one of our senior data leaders. Loop Stage - This is one stage with 4 interviews (totalling 4 hours) split between a collaboration with one of our engineers on a technical exercise, as well as behavioural and leadership interviews. You can have this all in one day or split these across multiple days, whichever your prefer. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on ----- How we work 💻: Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You'll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨ Work the way that works for you with Monzo! 💼 What's in it for you 💰Base salary £150, 000 - £200, 000 + Equity + Benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences #LI-AL1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊 Find more English Speaking Jobs in United Kingdom on Arbeitnow

You will: Advanced Analytics: Develop innovative measurement and analytical approaches that build an understanding of performance and customers, embedding these learnings into day-to-day decision-making across the organisation. Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights. Strategic Influence: Influence both strategic and tactical decision-making among leadership and cross-functional teams through strong communication and by proactively identifying opportunities for improvement. Data Infrastructure: Act as the primary partner for central Analytics & Data Engineering teams to implement reliable and scalable data pipelines that manage and transform essential information. Commercial Modeling: Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity. Insight Integration: Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows. Data Culture: Proactively build and nurture a culture of data-driven decision-making by coaching and supporting teams to increase their data literacy and confidence. Mentorship: Support and mentor other analysts in the team to help them develop their skills and deliver high-quality results. You have: 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product. A strong understanding of statistical analysis and experiment design. A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential. Expert skills in SQL and databases, able to write structured and efficient queries on large data sets. Experience with dbt is a strong plus, along with Python or R and Github. Development experience with BI platforms such as Looker, Tableau, Power BI. Experience with Looker and LookML in particular is strongly preferred. A strong and confident communication style, with good knowledge of data visualisation and storytelling. A high degree of curiosity, comfortable gathering and analysing large amounts of data across a variety of business dimensions. The role will be London-based, with the candidate ideally based in/around London or able to come to the office on a regular basis. Benefits: We offer comprehensive medical, dental, vision and Mental health support to all eligible employees. Company RSUs (Restricted Stock Units). Gopuff employee rewards (including some great brand partnership deals). Annual performance appraisal and bonus. Find Jobs in United Kingdom on Arbeitnow

About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact. We're trusted by more than 12,000 companies worldwide, including Bolt, GoCardless, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem . Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit www.perk.com to learn more. The Opportunity: We are building a new team of Data Product Partners to bridge the gap between business needs and complex data systems, ensuring our data assets are trustworthy, discoverable, impactful and truly solve user problems. As a Senior Data Product Partner (DPP) , you will be the driving force behind the impact of our data team with the Perk business. You will move fluently between business and data worlds, making critical decisions rooted in both user needs and technical reality. Your goal is to move beyond simply providing solutions to proving demonstrable business impact. Role Title: Senior Data Product Partner Reporting To: Manager, Data Product Partner Core Mandate: Be the primary data consultant, fixer, strategist, and relationship manager for a specific business domain (e.g. Customer Care, Finance, Marketing, Revenue, Spend & Control, Travel) We are open to either Regular or Senior profiles What You'll Do: Relationship Management and Strategy Develop Business Data Strategy: Collaborate with business leaders to define how data can drive their strategic goals, solve critical challenges, and uncover new opportunities Identify and Qualify Value: Proactively identify high-impact use cases and data initiatives that will generate maximum measurable value (e.g., revenue increase, cost reduction, efficiency gain) for the partner business unit Act as the primary translator across all disciplines, explaining the same concept differently to different data team roles and executives Proactively manage expectations and define the appropriate scope and flexible roadmaps Develop Product Sense for Data, anticipating common data quality issues, recognising when simpler solutions are better, and strategically saying "no" to requests that compromise our aligned vision Publicise and amplify the work that has been done to drive adoption of and learning from our solutions Coach teams to be able to self serve their own preliminary investigations Demand Shaping and Portfolio Management Focus on defining what to build and why (Data Product Partner) rather than how (AE/ DA/ DE/ DS/ DG). Ensuring that we built the right thing - vs the Data Team Lead owning did we build the thing right While the Data teams own the timeline estimates, the DPP defines the urgency, the required business target date and the prioritisation, which then influences how the Craft team approaches the estimate Shape and Prioritise Demand: Work with business stakeholders to clarify their data needs, translating vague requests into well-defined, measurable projects and technical data requirements that can be handed over to the Data Teams Manage the Business Unit's Data Portfolio: Oversee the pipeline of data projects, data products and initiatives relevant to their business unit, ensuring alignment with capacity and strategic priorities. Work closely with Data teams to evaluate technical tradeoffs with potential business impact Conduct Value Realisation Tracking: Continuously monitor and report on the actual business outcomes and ROI delivered by completed data projects and products Ad-Hoc Analysis, Triage & Intake Management The Data Product Partner is the first line of response for data questions from the business and plays a critical role in determining the right level of effort and ownership Conduct initial ad-hoc analysis where appropriate, including lightweight SQL queries, exploratory analysis in Looker as well as quick validations, sanity checks, and hypothesis testing Use this initial analysis to answer simple, time-sensitive business questions directly, clarify the underlying problem and assess feasibility, data quality, and potential impact Triage and prioritise ad-hoc requests by determining whether the request can be resolved quickly vs. requires deeper analytical or engineering work. Escalate and hand over well-defined requests to Data Analytics, Analytics Engineering, Data Engineering, Data Science or Data Governance when needed. Provide clear context, urgency, and success criteria to downstream teams Actively identify recurring ad-hoc requests that indicate a gap in existing dashboards or data products, a need for improved data quality, documentation, or enablement or an opportunity to convert reactive work into scalable data products Consultation and Enablement Provide Data Consulting: Offer expert advice to business stakeholders on data availability, appropriate methodologies, and the interpretation of data insights Drive Data Literacy and Adoption: Champion the use of data tools and insights within the business unit, coaching teams on how to effectively integrate data into their daily decision-making processes Proactively surface observations, trends, or risks as nuggets of insight Bridge the Data-to-Action Gap: Ensure that insights are clearly communicated, translated and embedded into concrete business actions and process changes Ensure that the pain points of Data Quality gaps are identified and prioritised within the Data Team AI at Perk AI is embedded in how we work across every function. The tools you'll use day-to-day are AI-enabled so you can move faster and spend more time on the work that matters. In practice, that means using AI to research and prioritise accounts, draft and refine outreach, handle customer interactions more effectively, synthesise information, and cut through shadow work - the invisible tasks that pull people away from the work only they can do - so you can focus on relationships and outcomes. How We Work At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We're an equal opportunity employer, which means you're welcome at Perk regardless of how you look, where you're from, or anything else that makes you, well, you. Protect Yourself from Recruitment Scams All official communication from Perk will always come from email addresses ending in @ perk.com or @ externalperk.com , our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security [at] perk .com , and we will confirm whether it is legitimate. #LI-Hybrid Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Us: Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming. Betty Canada is a scale up company accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we've set a new standard in the industry. Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players' safety and enjoyment above everything else. Our Values: We are honest - we value honesty in all aspects. Bring the Olives - we offer premium customer experience. Think Big - we believe in always striving for more. Key Responsibilities : Collaborate with cross-functional teams, including Engineering, and business stakeholders, to define and understand data requirements. Develop and maintain scalable data pipelines for loading data from different sources into the DWH. Optimize and fine-tune existing data processes for improved performance. Collaborate with infrastructure teams to implement scalable and secure data platform. Create and maintain reports for regulatory requirements and internal business needs. Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities. Mentor junior colleagues, providing guidance in data engineering best practices. Requirements: Bachelor's degree in Computer Science, Data Science, or a related field. 3+ years of experience in a data warehouse engineering or related role. Experience with cloud data warehousing technologies, such as Amazon Redshift, Snowflake, or Google BigQuery. Good programming skills in Python. Proficiency with SQL and data modelling. Experience with pipeline orchestration tools (e.g., Airflow, Dagster). Understanding of CI/CD principles and experience implementing automated deployment processes. Excellent analytical and problem-solving skills. Strong communication and teamwork skills. Fluency in English. Nice to have: Experience with DBT. Experience with stream processing frameworks (e.g., Apache Kafka). Experience with containerization technologies (e.g., Docker , Kubernetes). Experience with data visualization tools (e.g., Looker, Tableau, Power BI). What we offer: Competitive salary Premium Health insurance Career and skills development opportunities Fun and collaborative team environment New modern office space Find Jobs in United Kingdom on Arbeitnow

Du möchtest eine AI Plattform entwickeln, die täglich von 1.500 Mitarbeitenden genutzt wird? Du verbindest Cloud Engineering mit Softwareentwicklung und hast Lust, neue AI Technologien in zuverlässige Lösungen zu überführen? Dann könnte diese Position als AI Platform Engineer genau die richtige Herausforderung für dich sein. Unser Kunde ist eine schnell wachsende, börsennotierte Unternehmensgruppe mit aktuell rund 55 Softwareunternehmen im Portfolio. Diese sind auf hochspezialisierte B2B-Softwarelösungen ausgerichtet – vielfach in sicherheitskritischen, öffentlichen oder infrastrukturellen Anwendungsbereichen. Deine Benefits Remote First: Bis zu 95 % Remote Arbeit mit mindestens einem Tag pro Monat im Büro in Köln Flexibles Arbeiten: Hohe Eigenverantwortung bei der Gestaltung deines Arbeitsalltags. Arbeitskultur: Modern, kurze Entscheidungswege und ein sehr ambitioniertes Team Direkter Impact: Deine Arbeit beeinflusst eine AI Plattform, die im gesamten Unternehmensportfolio eingesetzt wird & du arbeitest direkt mit dem C-Level zusammen Attraktive Vergütung mit festem Grundgehalt und erfolgsabhängigem Anteil Deine Aufgaben Im Mittelpunkt steht die Weiterentwicklung des internen AI Hub auf Basis von Open WebUI. Die Plattform wird für verschiedene Portfolionternehmen bereitgestellt und laufend um neue Funktionen, Integrationen und technische Möglichkeiten erweitert. Platform Engineering: Entwicklung neuer Integrationen, Container Images und Deployment Lösungen AI Integrationen: Pflege und Ausbau des Katalogs aus Tools, Skills, Agents und Integrationen AI Evaluation: Weiterentwicklung des Evaluationssystems zur Messung und Verbesserung von AI Agents Infrastructure as Code: Automatisierung und Weiterentwicklung der Cloud Infrastruktur Release Management: Prüfung neuer Versionen, Bewertung technischer Änderungen und Veröffentlichung stabiler Releases Cloud Infrastruktur: Betreuung gemeinsamer Komponenten wie Application Gateway, WAF, TLS, Redis, DNS und Netzwerkverbindungen Security: Umsetzung von Security Patches und Weiterentwicklung sicherer Plattformstrukturen Monitoring: Überwachung von Verfügbarkeit, Versionen, Deployments und Cloud Kosten über alle Instanzen hinweg Enablement: Erstellung technischer Dokumentationen, Onboarding und Aufbau von Preflight Checks und Guardrails Dein Profil als AI Platform Engineer Min. 2 Jahre Erfahrung in Platform Engineering, DevOps, SRE oder Cloud Operations mit Verantwortung für Produktivsysteme AI-native – du verfügst über praktische Erfahrung mit LLMs und bereits umgesetzten AI Lösungen Praxiserfahrung mit Azure oder AWS Infrastructure as Code – unter anderem Erfahrung mit Bicep, Terraform, CDK oder CloudFormation Sicherer Umgang mit Linux, Docker, Git und CI/CD Erfahrung mit PostgreSQL sowie OAuth, SSO oder Entra ID Gute Python Kenntnisse über klassische Skripte hinaus Selbstständig, strukturiert und lösungsorientiert mit Freude an technischen Herausforderungen Verhandlungssichere Deutsch- & Englischkenntnisse Nice to have: Erfahrung mit internen Plattformen sowie in Multi Tenant oder Multi Customer Cloud Umgebungen Berührungspunkte mit LLM Frameworks, Agents, MCP oder RAG Erfahrung mit Open Source Projekten Französischkenntnisse Klingt nach genau der Herausforderung, die du suchst? Dann freuen wir uns auf deine Bewerbung und geben dir in einem ersten 10 minütigen Call gerne weitere Einblicke in Unternehmen, Team und Position. Find Jobs in Germany on Arbeitnow

About The Role At thinkcell, we are continuously improving how professionals create business presentations by introducing smarter automation and assistance features into our product. In this role, you will help turn new ideas and early AI-driven concepts into reliable features used by more than 1.3 million users worldwide. You will build production-ready systems that connect modern backend services with intuitive user interfaces. In this role, you will work closely with both C++ engineers developing the core product and AI engineers exploring new automation capabilities, helping bring new functionality from concept into everyday product usage. This role is ideal for engineers who enjoy building clean, scalable systems, care deeply about code quality, and are motivated by shipping impactful features in a highly collaborative engineering environment. What you will do Build and maintain production-ready backend and full-stack features using TypeScript Integrate AI-powered functionality into the thinkcell product, such as text editing assistance and automated slide creation Work closely with C++ engineers and AI engineers to translate ideas and prototypes into robust product features Contribute to a strong engineering culture with rigorous code reviews and high standards for code quality You will be great for this position if you have A degree in computer science, mathematics, physics, or a similar technical field Relevant experience as a backend or full-stack engineer Strong experience with TypeScript and Node.js in production environments Curiosity about AI technologies and interest in integrating them into real-world products Experience with Python or C++ is a plus What We Offer Brilliant Team: Work with international colleagues with strong academic and professional experience Work–life balance: Flexible working hours and an environment that respects your time and focus. Stable Environment: Join a market leader with a reliable product. Direct Exposure to C-level Competitive salary & Relocation Support to Berlin Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we're a diverse team of over 240 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can't wait to see what you'll bring to the team! Find Jobs in Germany on Arbeitnow

About Alpas Alpas is a Y Combinator portfolio company building agentic sourcing technology for direct procurement. Our AI agents find, qualify and enrich suppliers so procurement teams reach objectives such as cost reduction, risk mitigation, resilience and innovation. We are based in Berlin, Prenzlauer Berg, and work hybrid. The role You join our Engineering team as a senior individual contributor and report directly to the CTO. We work in small, cross-functional product teams without middle management; you own your projects end to end, from design to production operation. Your mission: Enable fully-automated supplier analysis at stellar quality. Your responsibilities Design, build and operate production AI agents with LangGraph, including agentic workflow patterns (planning, tool use, reflection, human-in-the-loop) Build NLP and RAG pipelines (vector databases, retrieval strategies, evaluation) that feed the agents Integrate agents reliably with our backend services (Python, FastAPI, Pub/Sub, GCP) and keep agent-to-agent and agent-to-backend interfaces scalable Own MLOps for agentic workloads: CI/CD, monitoring, evaluation pipelines, cost control and inference efficiency Set and meet quality targets (for example under 1% failure rate for the search agent) and benchmark models and approaches Keep the codebase healthy and share knowledge across the team through reviews and documentation What we are looking for If you match most of these requirements and not all of them, you should still apply. At least 5 years of professional experience as an AI, ML, MLOps or backend engineer (working-student time does not count) Hands-on experience shipping LLM-based or agentic systems to production, not only prototypes Degree in computer science, AI or a closely related field, or equivalent practical background Strong Python and software-engineering practices (testing, CI/CD, Docker, cloud; GCP preferred) Experience with LangGraph or comparable agent frameworks, vector databases and evaluation of LLM systems Fluent English (C1); based in the EU, able to work hybrid from Berlin PyTorch and NLP model training, Kubernetes, Terraform, Argo Experience with procurement, supply chain or B2B data products Your benefits Work on an AI-core product, develop cutting-edge ML models and NLP systems for automating the supplier search that drive innovation and deliver real impact High ownership and responsibility to manage your own projects See your work deliver immediate results for stakeholders and collaborate closely with our Product team Work in a fast-paced environment with challenging tasks (zero-boredom-guarantee) Rapid development with a steep learning curve Awesome team events and an inclusive company culture with a diverse team A hybrid work environment and a nice office in Berlin, Prenzlauer Berg Honest, fast, and open collaboration as well as strong communication skills We hire you because you are the subject-matter expert in your fields, we appreciate being challenged Ability and willingness to commit to goals and tangible impact Resourceful self-starters who hold themselves to high standards, have attention to detail, are intrinsically motivated & eager to learn on a daily basis Proactive hands-on working style with passion for customer-facing tasks Team members who are excited about our mission & tech Find Jobs in Germany on Arbeitnow

As a System Test Engineer (m/f/d), you will play a key role in ensuring the quality, reliability, and operational performance of our unmanned systems (aircraft, vehicle).You will develop a deep understanding of our products, their system & software architecture, hardware components, interfaces, and operational use cases. Based on system and software requirements, you will define effective verification strategies, specify test cases, and execute tests across different test environments (simulation and hardware-in-the-loop setups). This position combines analytical system thinking, hands-on testing, and test automation. You will work closely with software, systems, hardware, simulation, and flight-test teams to identify risks, uncover defects, and provide objective evidence that our products meet their intended requirements. By continuously improving our verification methods, test coverage, and automation, you will contribute directly to the safety, reliability, and successful release of our next-generation unmanned aircraft systems. What is your Day to Day Mission: Develop a test strategy to validate our entire software stack for unmanned systems (vertical take-off and landing aircraft (VTOL), unmanned ground vehicle). Understand the architecture, functionality, interfaces, and operational behavior of our unmanned systems. Evaluate and develop AI-powered testing solutions, including AI agent-based systems, to automate test implementation, improve test generation, and increase the efficiency of our verification processes. Create new end-to-end integration tests. Review, challenge, and optimize existing test cases. Proactively expand test coverage in a structured way to identify and push system limits. Develop an automated test framework that enables developers to continuously extend the test suite. Execute functional, integration, regression, robustness, and end-to-end system tests in SIL, HIL, and real-system environments. Work closely with software developers, systems engineers, hardware engineers, simulation teams, flight-test teams, and product stakeholders. What you bring to the team: A successfully completed degree in electrical engineering, computer science, or a comparable qualification (e.g., ISTQB certification) 3+ years of experience in system / software testing or working in similar role Experience analyzing system and software requirements and deriving traceable verification artefacts using requirements management tools Strong understanding of complex system architectures and experience executing and troubleshooting end-to-end tests across software and hardware components Practical experience in building hardware/software-in-the-loop setups, from concept to implementation Interest or experience in AI-assisted test specification / software development, Large Language Models (LLMs), or AI agent frameworks applied to software testing and automation is a strong plus. Proficiency in developing, optimizing and maintaining automated test cases using Python or a comparable language Hands-on experience with Robot test automation framework Experience with CI/CD tools (ideally GitHub) and Docker Experience with DO-178C is advantageous Strong written and verbal English communication skills Proactive, organized and a team player mindset Ability to balance multiple assignments Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don't meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Why Quantum-Systems: We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus. We are industry pioneers who are ambitious, bold, and visionary. We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data. We promise to be your runway for individual and professional growth. Our benefits: Company pension scheme: We support you so that you can already make provisions for later. Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance. Mobile Work: If things get a little busy in the office, you have the option to work remotely one flexible day per week to create the right balance. Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities — and of course, we subsidize the membership. Bike-Leasing: We support you in staying environmentally mobile and healthy. Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia. Employee events: We not only want to grow together, but also celebrate our successes together. Lunch-Card: Be powerful with delicious energy, daily lunch budget is sponsored. Company Shuttle: Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday. About us: Quantum Systems is a leading European deep-tech company for unmanned systems across air, land and maritime domains. We develop and scale integrated hardware, software and AI-powered solutions for mission-critical operations. By combining autonomous platforms with intelligent software and AI, Quantum Systems enables customers to operate, understand and act across domains. Our commitment: We are an open-minded company that not only values diversity, but actively promotes it. Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success. At our company, every voice is heard and every perspective is valued. We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential. Find Jobs in Germany on Arbeitnow

Software Engineering Intern - Fullstack (x/f/m) Set a new pulse for healthcare! We are looking for a Software Engineering Intern to join the Engineering team. Your mission will be to build innovative products and features that improve the daily lives of care teams and patients. You will work in a feature team developing solutions that directly impact healthcare professionals and patients across Europe, contributing to our Operating System powered by AI to manage all clinical and administrative activities. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: Build and own features alongside experienced engineers — from design and development to testing and shipping — with a direct impact on real users Collaborate with engineers, product managers, and designers to solve complex technical challenges and build scalable, secure, and user-friendly healthcare tools Write clean, efficient code following industry best practices in design, testing, and peer review Solve real-world problems that directly enhance patient care and improve doctor-patient relationships Explore new tools and technologies, including AI and distributed systems, as part of your continuous growth Contribute to a culture of learning and collaboration by sharing knowledge and engaging actively with your team Who you are Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: You love problem-solving and are driven by curiosity — you're not afraid to dive into complex issues and find creative solutions You thrive in a collaborative environment and enjoy working with cross-functional teams, sharing knowledge, and learning from your peers You have a passion for technology and product development, and always keep the user experience in mind You are comfortable coding, with the help of AI agents like Claude Code, in multiple languages and eager to learn our tech stack You are in your final year of a degree in Software Engineering, Computer Science, or a related field and looking for a 6-month full-time internship Eager to learn and work in a team of builders You are fluent in English It would be fantastic if you: Have experience with web development or building products in a fast-paced environment Have worked on side projects or contributed to open-source communities Are familiar with AI-assisted coding tools and eager to integrate them into your daily workflow. Life at Doctolib Tech Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here . Want to learn more about our tech culture and environment? Visit the Doctolib Tech site . What we offer Tech masterclasses throughout the internship Free breakfast at the office Access to the best AI tools for coding and development, along with dedicated training Discounted membership to Urban Sports Club Meal vouchers worth €8.50 per day, with €4.50 covered by Doctolib 50% reimbursement of public transportation subscriptions Comprehensive health insurance, fully covered by Doctolib for employees and their children under the basic plan Free mental health and personalised coaching programme with our partner, Moka.care A comprehensive three-month onboarding programme, including Doctolib Academy and various training courses in languages, soft skills, and technical skills A works council subsidy providing partial reimbursement for sports or leisure activity memberships For employees with disabilities or caregiving responsibilities, a support package including adapted remote-working arrangements, paid authorised leave for medical appointments, and enhanced psychological support Our interview process Coding Game (1h) Recruiter Interview (30 minutes) Feature Building Interview (1h) Behavioral Interview (1h) Job details Internship (6 months) Paris (Levallois) Hybrid work setup (up to 2 remote days per week) Start date: March 2027 We welcome everyone At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! Your data privacy All information provided is processed by Doctolib for application management. For data processing details, click here: Germany | France | Italy | Netherlands . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find Jobs in France on Arbeitnow