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Join SE3 Labs as Head of Finance Build the financial infrastructure behind SE3's growth, with numbers the whole company can trust and use. About SE3 SE3 Labs builds spatial intelligence and autonomy software for unmanned systems. We combine 3D computer vision, state estimation and AI to help autonomous platforms perceive their surroundings, know where they are and operate when GPS and other sensors become unreliable. Defence is a core application of our work today. We are growing to a team of 100+ people. Join at a stage where you can shape our Finance team , help build the team and grow your responsibilities as the company expands. About the Role As Head of Finance, you'll own SE3's accounting, reporting, planning and financial controls, and build the systems that make accurate numbers easy to use. You'll work on-site in Munich with our founders and external accountants, and support financing and the development of our international finance function as we grow. What You'll Work On Accounting & Close: Own a reliable close and accurate accounting, working through the details with our external accountants and challenging them where needed. Reporting & Planning: Build reporting and planning that give the founders and leadership a clear view of the business. Controls & Audit: Set up financial controls, reconcile contracts, revenue and payments, and make SE3 audit-ready. Finance Systems: Build systems and automations that make accurate financial information easy to use. Financing: Support financing work as the company raises capital and grows. International Finance: Help develop the finance function as SE3 operates in more countries. Your Profile You take ownership of outcomes, work with exceptional drive and have a clear reason to build SE3. You combine strong analytical ability with sound accounting judgement. You can own a reliable close, work through the details and challenge external accountants. You're a hands-on systems builder and have improved how a finance function works. You speak fluent English; German is a plus. Given the nature of SE3's work in the defence sector, candidates must be eligible to work on defence-related projects and, where required, obtain the relevant security clearance. Especially Valued Bonus Skills Coding ability. Building finance workflows with automation or AI agents. Experience at a fast-growing startup or in venture capital. Experience with international entities. Perks & Benefits Real Ownership: Participate in SE3's growth through our employee participation programme Work Environment to Excel at: Find a high-quality and modern toolset, flat hierarchy and a skilled, driven team which will push the limits together with you AI-boosted workplace: We empower every employee with best-in-class AI tools and agents, giving you unlimited access to the latest advancements and a true productivity edge 31 Paid Days Off: 30 vacation days plus your birthday off Well-being Access: Free membership to gyms, yoga, and wellness through EGYM Wellpass Team Offsites: We go on 2 company retreats per year, our last ones were in Italy and Greece Mentorship: Work closely with experienced engineers and get paired with a professional mentor to support your growth Our Process Intro Call (30 min): Let's get to know each other. Case Study (90 min): We work through a realistic finance or systems problem together. Deep-Dive Interview (1 hr): We dive into the finance processes and systems you have built and how you make numbers reliable. Team Dinner / Lunch: Meet the team and see whether it is a strong fit on both sides. Equal Opportunity SE3 is an equal-opportunity employer committed to building a diverse and inclusive team. All qualified candidates will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected under applicable law. Find Jobs in Germany on Arbeitnow

Company Description We're Checkout.com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we're behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there's a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you've come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we're shaping the future of fintech – and we're just getting started. The Role As part of Checkout.com's #NextGen Early Careers Program, we are looking for an ambitious Finance Analyst Apprentice to join our fast-paced EU Finance department. Reporting directly to the Regional Finance Director, you will work alongside experienced professionals, gain hands-on experience, and join a global community with technical training, mentorship, and regular networking opportunities to accelerate your growth. Through a structured three-year program, you will balance real team deliverables with study towards your ACCA (Association of Chartered Certified Accountants) qualification, dedicating 20% of your time (around six hours per week) to your professional studies. Each placement will be supported by a dedicated Rotation Manager alongside guidance from senior Finance leadership. You will gain broad exposure across six core finance pillars: Financial Control and Revenue & Billing in year one; Tax and Treasury in year two; and Strategic Finance and Finance Transformation in year three. Depending on business and ACCA requirements, you may also gain exposure to adjacent areas such as Product Control, Procurement, or Internal Audit. How You'll Make An Impact Support accurate, timely finance operations across your rotations, contributing to processes such as month-end close, reconciliations, journals and variance analysis. Help teams deliver invoicing, settlement, revenue recognition, tax compliance, cash management, budgeting and reporting activities. Prepare and review information carefully, including supporting audit, compliance and management reporting requirements. Work with colleagues across Finance to respond to queries, share information and deliver tasks to agreed deadlines. Look for practical ways to improve processes, documentation and the use of finance systems and data. Apply what you learn through ACCA study to real finance work, building technical, analytical and communication skills over time. Eligibility Requirements This role is offered as a government-funded Level 7 ACCA apprenticeship. Appointment is conditional on the successful candidate meeting the government's apprenticeship funding and eligibility requirements at the start of training, as confirmed by our approved training provider. Under current England funding rules, Level 7 funding is generally available to applicants aged 16–21, with limited exceptions for eligible applicants aged 22–24 who have an EHCP or have been, or are, in care. This role is offered as an early-careers opportunity and we are not able to offer this role on a privately funded basis. Further information about the Apprenticeship funding can be found here. Academic Qualifications: You will have either: A degree qualification OR You have completed a Level 4 AAT qualification before the September start date + 2 A Levels (or equivalent) and 3 GCSEs including a pass in English and Maths Visa sponsorship: We are unable to offer visa sponsorship for this role. What We're Looking For Academic Ambition: You are eager to begin your journey toward becoming a Chartered Accountant via the ACCA pathway. Analytical Mindset: You have a natural comfort with numbers and a high attention to detail. Resilience: The ability to work toward tight deadlines in a fast-paced, high-growth work environment. Tech Savvy: Proficiency in Excel or Google Sheets. Any prior exposure to accounting systems (like Workday) is a huge plus, but not a dealbreaker—we will train you! Communication: Excellent verbal and written communication skills and a "team player" attitude. Proficiency with Excel or Google Sheets; familiarity with finance systems such as Workday is helpful, but not essential. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you'll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It's a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you're ready to grow and make a difference, you'll be right at home here. It's important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it's like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com , follow us on LinkedIn and Instagram Find more English Speaking Jobs in United Kingdom on Arbeitnow

ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery's unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world's most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we're on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What's ahead — and why it's an exciting time to join the team: Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market. Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour. Sharing our work and learning from industry peers through challenges, conferences and publications. But it's not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. About the Team The Data Science team builds the AI models behind Beamery's Data Foundry, the common data and AI layer powering all Beamery products, and works hand in hand with the product teams to empower their features with AI (such as Talent Match and recommendations). At the heart of our work is the Beamery taxonomy, the language of work (skills, role titles and tasks) that every Beamery product speaks, built on more than a decade of research and kept current by the Taxonomist, our agentic system, so it reflects the real pulse of the job market. We combine LLMs, Transformers and embedding models with classic machine learning, always choosing the best balance between quality, latency and cost. We see ourselves as pioneers in AI for HR Tech: in 2026 the team finished 1st in the industry track and 2nd overall out of 40 teams at the ACM RecSys Challenge. About the Role You will join the team as a Senior Data Scientist and own our matching, recommendation and taxonomy mapping models, working closely with the product engineering teams that bring them to our customers. You will be responsible for the full cycle of your work, from defining how quality is measured and designing the models to running robust scientific experiments, tracking technical and business metrics, and writing and reviewing code. You will also advise the product teams on how to implement AI features with an evaluation-first mindset, and keep pushing the boundaries of Beamery's AI. Key Responsibilities Build, improve and own our matching and recommendation models (e.g. candidate to job matching, internal mobility recommendations etc.). Apply an evaluation-first mindset: build golden datasets from real recruiter and user decisions, define quality metrics, design and run robust scientific experiments, track and report both technical and business metrics (using LLM-as-a-judge and human feedback), and communicate results and metrics clearly to the product teams. Write clean and tested Python code using AI coding agents (such as Claude Code or Codex), and review code with care, both from your peers and from AI agents, so the team's codebase stays consistent, readable and safe. Follow recent research (e.g. LLMs, embeddings, recommender systems, explainability, model evaluation) and bring the most relevant ideas into our product roadmap. Document your work and present it clearly to product, engineering and business stakeholders, and contribute to the team's research visibility (such as challenges, conferences and publications). Required Skills and Experience A minimum of 2-4 years of experience as a Data Scientist, Senior Data Scientist (or a similar role) in an AI startup or an AI team, with a dynamic environment and a variety of use cases. Strong experience with recommender systems, search, ranking or matching (e.g. learning-to-rank, scoring models, Gradient Boosting Trees, embedding models). Fluency in evaluation: designing datasets and quality metrics (such as AUC, NDCG, precision and recall), and using LLM-as-a-judge and human feedback. A strong foundation in NLP and GenAI, including Transformers, LLMs and embedding models (training or fine-tuning them is a strong plus). High-quality software development skills in Python (clean design, testing, packaging, maintainable code etc.), practical knowledge of CI/CD, and hands-on experience with agentic coding, with the judgement to know when AI-generated code is right or wrong. The ability to simplify complex problems, to work with ambiguity, and to collaborate with data scientists, engineers, product managers and business stakeholders. A Master's degree or PhD, or equivalent experience, in Computer Science, Data Science, Mathematics or a related field. Nice to Have Experience with explainable or conversational recommendations. Experience in HR Tech, talent acquisition or workforce data. Publications, open-source contributions or strong results in ML challenges (e.g. RecSys, Kaggle). What We Offer The chance to own core AI models that are used by some of the world's most forward-thinking organisations. A team that publishes, competes and is recognised in the research community, while shipping real products. Work with the latest AI technologies and tools, including AI coding agents as part of the daily workflow. Close collaboration with experienced data scientists, QA, platform and product engineers. At this time, we are unable to provide Visa sponsorship for this role. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments. Find Jobs in United Kingdom on Arbeitnow

Few people get to build a bank from scratch. Even fewer get to build one at a moment when banking itself is being reinvented. The Dollar is the best product in the history of the world - there is infinite global demand. But International Fintechs and non-US banks are left with two unsatisfying options to access it: Either they build on legacy clearing banks that are slow and unreliable, or they interface with middleware providers that don't move and hold the dollars directly, but themselves rely on underlying legacy banks. Augustus collapses this stack by combining two things: A real, national bank charter (in organization), and Marble, our proprietary core banking system, built around intelligence, made of code. We are a group of operators, unicorn early employees, ex-founders and people who walked away from degrees because they believe this is an industry and career defining opportunity. We are backed with more than $200M from Peter Thiel's Valar Ventures, Tiger Global, Hummingbird, QED, Creandum, and the founders of Nubank, Ramp, Deel, Circle, Fluidstack, Fuse, and n8n. We are regulated in Europe and live with Euro and Stablecoin clearing today. Now, we are building the US team from the ground up, while continuing to grow rapidly in Europe. The Role You own Banking Experience: the accounts at the center of customer's relationship with the bank, and the API and dashboards they use to manage them. In this role you're responsible for redefining what beautiful software in banking looks like. You'll define account structures that give customers powerful building blocks for their products, and craft intuitive interfaces grounded in a deep understanding of their use cases and workflows. You report to Will, Head of Product, and work closely with Simon, our CTO. You're expected to operate with full autonomy on your team's roadmap, collaborating with design and engineering. Your First Six Months Months 1-2: Take over day-to-day ownership of the Banking Experience team - the roadmap, the ways of working, the hard decisions. Establish yourself with customers and how they use our accounts. You define and ship your first project. Months 3-4: Execution mode. You're unblocking engineering daily, making hard prioritization calls, and shipping your roadmap to customers. You're proactively raising the bar across accounts, API, and dashboard by feeding what you learn from customers into the product. Months 5-6: You're working with live customers on the products you've built. Deposits and number of account holders are scaling. You've moved from execution to platform mode - evolving the roadmap based on what our customers are building on top of Augustus. Who Will Thrive At Augustus We believe that throwing smart people with high agency at big problems produces the best outcomes. We're building a modern correspondent bank, and we win by having a better team. The people who succeed here share the following traits: American Dream: You'd rather shoot for gold than settle for mediocrity. You pick the harder goal and stay optimistic when the odds are against you. If it feels easy, we aimed too low. Live Player: You don't need permission. You rebuild what's broken without being asked, challenge how things are done, and move before the perfect moment. Ever to Excel: You can't accept good enough and you take your work personally. When it matters, you do what it takes and keep raising the bar for yourself and your team. Genuine: You play for the company, not your title or turf. Low ego, low drama, no politics. You say it straight, also upwards and always assume good intent. This role is for you if: You want to spend time with customers to intimately understand and then innovate on their workflows. You're a structured and relentless problem solver. You combine first-principles thinking with deep domain knowledge to make complex processes simple. You have taste and care deeply about the quality of what you build. You leverage AI to push the boundaries of what a PM can do. You're excited about building a programmable bank and helping shape what that means. Hard Requirements Experience end-to-end owning and building banking, fintech, or developer platform products. Technical enough to spar on architectural decisions with engineers - you're comfortable in API design discussions, not just UI reviews. You have experience with control planes, dashboards, or console products at infrastructure, finance, or developer tools companies. You have strong opinions on information architecture and how to organize complex products so they feel simple Comfortable in customer-facing roles - you've pitched, demoed, and closed early adopters yourself. Based in New York or Berlin, or willing to relocate. Pay transparency Compensation packages at Augustus include base salary, equity, and benefits. New hire offers are made based on a candidate's experience, expertise and geographic location. The annual US base salary range for this role is $180,000-$230,000 + equity. What We Offer Career Growth: You will be given more responsibility and pushed to grow faster than ever before. Network: Your peers are brilliant, highly motivated people. These people will be foundational in your future opportunities. Real Participation: Employees are shareholders. You will think and act like an owner. Perks & Benefits: Relocation support, visa support, the latest Apple gear (MacBook + AirPods), lunch benefit, gym benefit, a beautiful office in the heart of the city, 4x on-/offsites per year, and an annual development budget. Additional to the global benefits above, we offer localized benefits such as comprehensive medical, dental, and vision insurance and a 401(k) retirement plan for our US team. Augustus is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Augustus will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Compensation: €90K – €120K • Offers Equity • €90K – €120K • Offers Equity Find more English Speaking Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Übernahme der fachlichen Verantwortung für die Betreuung und Entwicklung von Demonstratoren für unser Business Development Aktive Verfolgung aktueller Trends und Entwicklungen im Bereich Generative AI durch kontinuierliche Recherche und das Experimentieren mit neuen Tools Übernahme der Leitung oder auch Mitarbeit an Projekten mit Schwerpunkt auf dem technischen Steering - Besonderes Augenmerk liegt hier auf der Qualitätssicherung in den Bereichen Data Science und Prompt Engineering Konzeption und Umsetzung von internen Schulungen, um das Wissen im Team zu vertiefen und die kontinuierliche Weiterbildung innerhalb des Unternehmens zu fördern Aktive Teilnahme an relevanten Konferenzen sowie das Halten von Vorträgen, um das erlangte Wissen zu teilen und als Expert:in und Repräsentant:in unseres Unternehmens aufzutreten Unterstützung unseres Sales Teams bei der Kundenakquise durch überzeugende Präsentationen (Pitches) technischer Lösungen Skizzieren von Architekturbildern für Generative KI-Lösungen Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem naturwissenschaftlichen Studiengang Fließende Kommunikationsfähigkeit auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Erfahrung in der Entwicklung von Generative AI-Modellen und deren Anwendung in realen Projekten Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien Sehr gute Kenntnisse im Coding und Software Development (Python, object oriented), mit Cloud Technologien (Azure, AWS), in OpenAI API/ Aleph Alpha API und HuggingFace Idealerweise Erfahrungen im probabilistic modeling, text processing & NLP, transformer, conversational AI, stable diffusion, hardware accelerators, physical computing, operation of local (open source) foundation models & finetuning Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Eugenia Riger, Senior People Operations Manager Find Jobs in Germany on Arbeitnow

Virtusan is a Swiss based health coaching platform for sleep, stress and recovery that works with any wearable, including our own smart ring. We're hiring our first AI Tech Lead to build the intelligence behind our coach: turning biometric and behavioural signals into personalised programmes that help people sleep better and stress less. You'll be the technical authority for AI across engineering; you make the calls on architecture and approach, set the standards others build to and stay hand-on in the code. What you'll be doing 1) Signal interpretation: Turn wearable and in-app data into recovery, stress and sleep insights, using personal baselines and trend detection. 2) Multi-device data: Normalise metrics across vendors, weight sources by reliability, and handle missing data and device switches. 3) Recommendation engine: Personalise protocol sequences by dose and timing with classical ML (e.g. contextual bandits, sequential recommenders or RL). 4) Feedback loops: Learn from real user behaviour and biometric responses which protocols work, and for whom. 5) Evaluation: Offline metrics, online experiments and production monitoring for every model and LLM feature. 6) AI platform: Own the roadmap, training and serving pipelines, data quality and architecture on our Python and Azure stack. 7) Technical leadership: Make and own the key architecture and modelling decisions, and write them down (RFCs, ADRs etc.) so the team can build them. 8) Privacy: Make secure handling of sensitive health data part of the design from the start. 9) Collaboration: Help product, design and marketing shape AI features and understand what the models can and can't do. Hands on: This is a builder role. You'll be prototyping, evaluating and taking code through to production. Requirements 6+ years in ML/AI engineering incl. 2+ years in a lead role, with at least one product taken from zero to production Python, FastAPI and production MLOps on Azure or another major cloud Time series, recommender systems, causal/uplift methods and strong statistics A/B testing, model evaluation and production monitoring LLMs and LangGraph (or similar) on Azure OpenAI, and knowing when not to use them Experience as a tech lead or staff engineer, making technical decisions that a team of engineers followed. Privacy-aware handling of health data Based in Europe and fluent in English Nice to have: bandits, RL or off-policy evaluation; health or wearable data; literature mining; AI in engineering workflows (coding agents, AI-assisted testing, CI). Application process Instead of a cover letter, please send us the answers to 2 of the following 3 questions together with your CV. 1) Tell us about an ML product you took from zero to production. What did you own, and what changed because of it? 2) You have a recommendation engine and want to know whether a protocol actually improves users' sleep. How would you measure that? 3) Tell us about a technical decision you made for a team that others disagreed with. How did you get alignment, and how did it turn out? Find more English Speaking Jobs in Germany on Arbeitnow

Seeq builds advanced analytics software that unlocks insights from industrial process data—empowering companies in sectors like pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company since our founding, we're built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement. Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You'll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. Key Duties & Responsibilities: As a key customer-facing team member, you will participate in the following activities: Customer Technical Adoption Serve as the customer's trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer's critical business workflows and objectives. Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer's high value use case. Upskill Seeq's partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. Product Expertise Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap. Ability to assess and position Seeq's benefits relative to competitive products in the marketplace or in the customer's ecosystem. Work with the product team to design, implement, and test new functionalities that meet customer needs. Industry Expertise Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy. Requirements Bachelor's degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered. Minimum of 5-7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields. Deep technical expertise in one or more industrial process manufacturing verticals and a sound understanding of broad market drivers and business priorities. Examples of industrial process industries are chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc. Empathy with and experience in the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, BI tools, or otherwise. Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams. Effective and influential technical communicator. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. Able to communicate with subject matter experts, managers, directors, and C-level audiences. Creative ability to develop and propose technical solutions leveraging the latest features and capabilities in the software and broader technology landscape. Programming experience in Python and/or other programming languages is a plus. Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives. Prior experience using Seeq is highly preferred. Python programming skills is a plus. Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.). Benefits Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments. We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability. We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers' expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work. The Perks of Working at Seeq Competitive salary €111,000 - 129,000 depending on experience. Variable bonus Benefits: Unlimited PTO Generous home office allowance The best co-workers (we've analyzed the data, so we know it's true.) Pet-friendly workspace (your dog will be so happy to have you home) You love your job! Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas Find Jobs in France on Arbeitnow

Bei FlixTrain gestaltest du die Zukunft der Mobilität aktiv mit. Wir bieten dir nicht nur sichere Arbeitsplätze sowie attraktive Zusatzleistungen, sondern auch ein dynamisches, internationales Umfeld, in dem deine Ideen echten Einfluss haben. FlixTrain hat es sich zum Ziel gesetzt, Zugreisen in Deutschland besser, umweltfreundlicher und barrierefreier zu gestalten. Wir wachsen rasant und damit auch unser Anspruch, jede Entscheidung datenbasiert zu treffen. Deshalb bauen wir etwas Neues auf: ein eigenes, zentrales Data-Analytics-Team bei FlixTrain. Du gehörst zu den ersten Mitarbeitern dieses Teams - das bedeutet echte Verantwortung, echten Einfluss und die Chance, unsere Arbeit mit Daten vom ersten Tag an mitzugestalten. Gemeinsam mit einem erfahrenen Analysten entwickeln Sie unsere Standards und arbeiten eng mit unseren operativen Abteilungen zusammen, um operative Daten in Dashboards, Erkenntnisse und Entscheidungen zu übersetzen, die das Unternehmen voranbringen. Über die Rolle Gemeinsam mit unseren Fachbereichen entwickelst du End-to-End-Analytics-Lösungen mit Power BI, Snowflake, Python und Git und schaffst damit die Grundlage für datenbasierte Entscheidungen Als Ansprechpartner für den Datenbereich Operations übersetzt du komplexe Fragestellungen in aussagekräftige Analysen, Dashboards und Handlungsempfehlungen und unterstützt in der Aufbauphase des Teams auch weitere Unternehmensbereiche Datenpipelines und Reporting-Prozesse entwickelst und automatisierst du kontinuierlich weiter und integrierst externe Datenquellen in unser Data Warehouse In enger Zusammenarbeit mit unseren Data- und Engineering-Teams verantwortest du den gesamten Lifecycle deiner Analytics-Lösungen – von der Datenmodellierung über Testing und Visualisierung bis hin zum produktiven Betrieb Durch hohe Qualitätsstandards, saubere Dokumentation und verlässliche KPI-Modelle sorgst du dafür, dass unsere Datenprodukte als "Single Source of Truth" genutzt werden können Über Dich Erfolgreich abgeschlossenes Studium im Bereich Wirtschaftsinformatik, Informatik, Data Science, Mathematik oder Statistik oder eine vergleichbare Qualifikation Mindestens zwei Jahre Berufserfahrung als Data Analyst, Business Analyst, Analytics Engineer oder in einer vergleichbaren analytischen Rolle Sehr gute Kenntnisse in SQL, Python und Git sowie Erfahrung in der Erstellung von Dashboards und Reports mit Power BI Analytisches Denkvermögen, ein gutes Verständnis für Business-Zusammenhänge sowie eine strukturierte und eigenverantwortliche Arbeitsweise zeichnen dich aus Sehr gute Deutsch - und Englischkenntnisse ( mind. C1-Niveau ) sowie Freude an der Zusammenarbeit mit unterschiedlichen Stakeholdern Bei uns zählt der Blick auf das Ganze – auch wenn du nicht alle Anforderungen zu 100 % erfüllst, aber dennoch glaubst, etwas bewegen zu können, freuen wir uns auf deine Bewerbung! Was Wir Bieten Reisevorteile: 12 kostenlose Flix-Gutscheine + 12 Rabattgutscheine für Freunde & Familie. Arbeiten von Überall: Je nach Rolle kannst du bis zu 60 Tage pro Jahr von einem anderen Standort aus arbeiten. Hybrides Arbeitsmodell: Wir sind ein Unternehmen mit Bürokultur, bieten jedoch Flexibilität, um Arbeit und Leben in Einklang zu bringen. Gesundheits- und Wohlfühlangebote: Zugang zu vertraulichen Einzelberatungen, Kursen und Stressbewältigungsmaßnahmen – für dich und bis zu vier Familienangehörige. Lernen & Entwicklung: Nutze Sprachkurse, Schulungen und Experten-Sessions, um deine Fähigkeiten auszubauen. Mentoring-Programm: Vernetze dich mit erfahrenen Kollegen, um Einblicke zu gewinnen und deine Karriere zu beschleunigen. Warum Teil von Flix werden? Bei Flix konzentrieren wir uns darauf, Reisen einfach, sicher und erschwinglich zu gestalten – sowohl für unsere Passagiere als auch für unsere Mitarbeiter. Hier geht es schnell voran, und es gibt viel Raum, etwas zu bewegen. Wir wachsen und entwickeln uns täglich weiter und suchen Menschen, die bereit sind, sich einzubringen und die Art und Weise, wie wir arbeiten, mitzugestalten. Wenn du einen Job suchst, in dem du wachsen und etwas bewirken kannst, dann bist du bei FlixTrain genau richtig. Hier kannst du Teil eines Teams werden, in dem dein Beitrag zählt und du deine Reise selbst gestalten kannst! Find Jobs in Germany on Arbeitnow

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This is a critical-delivery role responsible for engineering and operating vendor applications end to end within an on-premises OpenShift platform, directly supporting the enterprise's AI monitoring, controls, and governance commitments. You will develop and integrate application components, deploy and scale containerized services, and provide the production support that keeps these services reliable, performant, and audit-ready. The domain is AI Agent operations. The applications you support deliver guardrails and observability for LLM powered systems across the enterprise, enabling the model observability, traceability, and evaluation needed to meet risk management, compliance, and regulatory expectations. Because this capability underpins key delivery milestones, the role demands strong engineering discipline, sound operational judgment, and a sense of urgency. The ideal engineer learns new tools and environments quickly, brings a pragmatic build-and-operate mindset, and can lead cross-functional initiatives without formal authority. Responsibilities: Own delivery of critical vendor applications from build through production support in a fully on-premises OpenShift environment, meeting committed milestones and quality expectations. Build and maintain APIs and integrations connecting vendor guardrail and observability platforms to enterprise AI Agent solutions. Establish and manage workflows that monitor performance, safety, latency, throughput, quality, and guardrail effectiveness in support of AI risk and control objectives. Implement and maintain model evaluation frameworks using LLM-as-a-Judge and specialized language models. Develop observability dashboards and alerting using Grafana or similar tools, producing audit-friendly evidence and traceability. Troubleshoot production issues and improve scalability, resilience, and operational efficiency to sustain availability for critical business services. Contribute to evaluation methodologies and guardrail controls for agentic and multi-step AI systems. Lead and mentor engineers, establish development standards, and drive process improvements across cross-functional delivery. Provide input into financial planning, budget tracking, forecasting, and management of supported applications and services. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, MIS, a related field, or equivalent practical experience. 13+ years of software engineering experience designing, building, and scaling production applications. Strong proficiency in Python, including common data and ML libraries. Hands-on experience deploying and operating containerized workloads on OpenShift or Kubernetes. Proven experience taking LLM- or RAG-based applications into production and maintaining them at scale. Experience building APIs and integrating third-party platforms. Working experience with AI Agents development, including OpenAI APIs and LangChain. Practical understanding of inference performance optimization. Experience applying guardrails, observability, and model-based evaluation to AI applications. Experience delivering within Agile and Agile-at-scale environments against firm timelines. Proven ability to influence outcomes and meet delivery commitments in a matrixed organization without direct authority. Strong problem-solving, communication, and stakeholder management skills. Desired Qualifications: Experience delivering technology solutions within a large, complex, highly regulated enterprise, preferably financial services. Fast learner able to ramp quickly on new technologies and tools. Experience with annotation pipelines, feedback loops, fine-tuning, and model alignment techniques. Familiarity with prompt versioning and lifecycle management. Experience with vendor-provided guardrail and observability platforms such as Galileo, LangSmith, and Splunk. Working knowledge of additional AI Agents frameworks such as LlamaIndex or Haystack. Familiarity with evaluation and guardrails for agentic, multi-step AI workflows. Collaborative and self-directed work style supporting engineering teams. Skills: Automation Influence Result Orientation Stakeholder Management Technical Strategy Development Application Development Architecture Business Acumen Risk Management Solution Design Agile Practices Analytical Thinking Collaboration Data Management Solution Delivery Process Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101), US - NJ - Pennington - 1600 American Blvd - Hopewell Bldg 6 (NJ2600), US - VA - Richmond - 8011 VILLA PARK DR - VILLA PARK OPS CENTER BLDG B (VA2125) Pay and benefits information Pay range $122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

For a renowned Swiss bank in Zurich, we are looking for an experienced business analyst. You analyse processes, data flows and systems in customer and contract management or in real estate management, and derive target pictures and decision bases from them. Your tasks Analyse and document processes, data flows, systems and responsibilities end to end Create the as-is analysis, derive the target picture and to-be processes, define data ownership Assess optimisation potential in data storage and the system landscape Create business cases, effort estimates and risk analyses Moderate workshops and present results at management level Your profile German at C2 level, the project language is German. Understanding of Swiss German is expected Several years as a business analyst or data analyst in banking or comparable industries Process and data analysis with BPMN, UML and visualisation tools Understanding of IT architecture, system landscapes, interfaces and data flows Confident use of Excel, PowerPoint, Jira and Confluence Nice to have Customer and contract management, Siebel CRM Practical experience with AI tools in business analysis Power BI or Tableau, basic knowledge of CAFM and ERP Find more English Speaking Jobs in Switzerland on Arbeitnow

As a leading ad tech company, we help publishers thrive in an increasingly challenging and complex digital world dominated by GAFAs. Our unique AI-based SaaS platform offers a range of products that help publishers optimize their revenue and operational efficiency. Over 100 prestigious customers in 20 countries, including industry leaders such as Microsoft, Dotdash Meredith, and Tripadvisor, use our solutions daily. Tasks Are you a full-stack developer who loves delivering features from end to end? Would you like to work in a start-up environment for the leader in Adtech analytics, using cutting-edge tools like Claude Code to accelerate your workflow? If you enjoy working on problems involving large amounts of data, are curious, passionate, and care about delivering quality user experiences, join our team of talented developers. As part of the BUILD team, you'll be responsible for developing features across our products' full stack — from API design to user interface — with complete autonomy. No more silos: you own your features from start to finish. You will participate in technical design workshops, propose improvements, and work closely with the Product team daily, as well as with our data engineers and data scientists. Mission Deliver end-to-end features, from API design (Ruby on Rails) to user interface implementation (React), ensuring a seamless user experience. Collaborate closely with the Product team to understand requirements, propose solutions, and iterate on feedback. Optimize existing application code to improve performance and maintainability. Take the initiative to improve our architecture, design, and development workflows. Our stack 200+ AWS instances (EC2, S3, SQS, Cognito) 10 TB+ of data ingested every day Backend: Ruby on Rails, Grape API, Sidekiq, Python, Scala Frontend: React, TypeScript, Tailwind CSS, shadcn/ui Databases: MySQL, MongoDB, Snowflake, Redis, Elasticache Testing: RSpec, Jest, Cypress DevOps: Git, GitHub, GitHub A Requirements Core Skills AI-Assisted Development Experience with AI-assisted development tools (Claude Code, GitHub Copilot, or similar): code generation, refactoring, debugging, and codebase exploration. Ability to craft effective prompts and leverage AI tools to accelerate delivery while maintaining code quality. Backend (Ruby on Rails) Design, development, and maintenance of Ruby on Rails applications and RESTful APIs (including Grape). Strong focus on clean architecture, scalable patterns, performance, and performance. Experience with testing (RSpec), code reviews, continuous integration, and technical documentation. Frontend (React) Development of modern web interfaces in React with TypeScript and JSX. Experience with state management (Redux, Zustand) and component-driven architecture. Proficiency with Tailwind CSS and component libraries such as shadcn/ui. Strong UX sensitivity and attention to user experience. Experience setting up and maintaining tests (Jest, React Testing Library, Cypress), and contributing to long-term maintainability Data & Storage Strong SQL skills with experience writing complex analytical queries. Familiarity with Snowflake is a plus but not required. Experience with environments mixing SQL (MySQL) and NoSQL (MongoDB/Mongoid), and performance/caching tools such as Redis and Elasticache. Quality & Delivery Strong engineering discipline: automation and tooling with GitHub, CI/CD (GitHub Actions), testing, linting (ESLint), and structured review processes. Experience working with cloud and scalable environments (AWS). About you You have 3+ years of experience with Ruby on Rails and React with TypeScript. You're pragmatic and autonomous, able to take a feature from design to production. You have strong SQL skills and experience with complex analytical queries (Snowflake is a plus) You're comfortable working with REST APIs and distributed systems You embrace modern development practices: testing, code reviews, CI/CD You have strong communication skills and enjoy working closely with Product teams You care about user experience and pay attention to detail You are fluent in English. Proficiency in French is an asset You are based in the CET/CEST timezone ± 2h (for team collaboration) Benefits Full remote Macbook provide Ready to join us? If you're passionate about building quality software, excited about leveraging AI tools to boost your productivity, and want to work with a talented team on challenging ad tech problems, we'd love to hear from you! At Adomik, we embrace modern development practices – including AI-assisted coding with tools like Claude Code – to help our developers focus on what matters most: solving complex problems and delivering value to our users. Our recruitment process: Technical assessment (coding challenge) Team interviews (2) Final discussion and offer The process takes a few weeks. Apply now with your CV – we're looking forward to meeting you! Find Jobs in France on Arbeitnow

Wir suchen Verstärkung für die Entwicklung, den Betrieb und die Optimierung moderner Datenplattformen. In dieser Position entwickelst du End-to-End-Datenlösungen mit Azure und Databricks und arbeitest eng mit Data Engineers, Analytics-Teams und Fachbereichen zusammen. Aufgaben Du entwickelst, betreibst und optimierst moderne Datenplattformen auf Azure und Databricks. Du konzipierst und implementierst skalierbare ETL- und ELT-Pipelines sowie Data-Lake- und Lakehouse-Architekturen. Du entwickelst bestehende Datenlösungen weiter und bindest Quellsysteme an. Du stellst Datenqualität, Performance und Stabilität sicher. Du arbeitest eng mit Analytics-, BI- und Fachbereichsteams zusammen. Du wirkst an Architektur- und Technologieentscheidungen sowie an internen Anwendungsfällen für Data Ingestion und Data Preparation mit. Qualifikation Du hast ein Studium im MINT-Bereich oder in Wirtschaftsinformatik abgeschlossen beziehungsweise verfügst über eine vergleichbare Qualifikation. Du bringst drei bis fünf Jahre Berufserfahrung im Data Engineering mit. Du hast End-to-End-Datenlösungen konzipiert und umgesetzt, idealerweise mit Databricks und Azure. Du kennst dich mit Data-Lakehouse-Architekturen, ETL und ELT, Streaming sowie verteilter Datenverarbeitung aus. Du verfügst über Kenntnisse in Python, SQL, Apache Spark und Delta Lake sowie über Erfahrung mit Infrastructure as Code und CI/CD-Pipelines, beispielsweise mit Terraform. Du arbeitest eigenverantwortlich und qualitätsbewusst, kommunizierst technische Inhalte verständlich und arbeitest gerne mit unterschiedlichen Teams zusammen. Benefits Leistungsbezogene Prämie mit einer Auszahlung von bis zu 200 Prozent Unterstützung bei Weiterbildungen und Zertifizierungen Gemeinsame Besuche von Meet-ups und Messen Kostenloses deutschlandweites Jobticket Betriebliche Altersvorsorge Gesponserte M-Mitgliedschaft beim Urban Sports Club Hardware-Setup nach deinen Bedürfnissen Regelmäßige Team-Events Hybrides Arbeiten Find more English Speaking Jobs in Germany on Arbeitnow