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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

Education: No degree, certificate or diploma. Employment terms options: Evening. Experience: 1 year to less than 2 years. Employment terms options: Morning. Night. On call. Weekend. Green job: Involves duties and responsibilities that lead to positive environmental outcomes.

Ihre Aufgaben Native App Penetration Testing: Durchführung manueller und automatisierter Sicherheitsanalysen von nativen iOS- (Swift/Objective-C) und Android-Apps (Kotlin/Java). Code- & Architektur-Reviews: Identifikation von Schwachstellen in Quellcode, APIs und SDKs. Reverse Engineering & Dynamic Analysis: Analyse von Bypasses (z. B. Root-/Jailbreak-Detection, SSL-Pinning). Reporting: Erstellung präziser Berichte und Beratung von Entwicklerteams zur Behebung von Sicherheitslücken. Ihr Profil Fundierte Erfahrung im Penetration Testing mobiler Anwendungen (iOS/Android). Vertrautheit mit den OWASP MASVS / MASTG Standards. Erfahrung mit gängigen Tools (z. B. Burp Suite, Frida, Objection, Ghidra, MobSF). Gute Kenntnisse in Netzwerkprotokollen und API-Sicherheit (REST, GraphQL). Zertifizierungen wie eMAPT, GMOB oder OSCP sind von Vorteil. Wir bieten Spannende Projekte in einem spezialisierten IT-Sicherheitsumfeld. Flexible Arbeitszeiten und Remote-Optionen. Budget für Weiterbildungen und Zertifizierungen. Moderne Hardware und eine agile Arbeitskultur. Interesse? Bewerben Sie sich über den Button auf dieser Seite. https://sodusecure.com Find more English Speaking Jobs in Germany on Arbeitnow

Scope of Impact Actively participates with other seniors in SOC activities by providing knowledge and insight on more complex client cases. Provides ideas and concrete input for process and efficiency improvements. Actively participates in overall team- and workflow-improvement projects. Expertise In-depth knowledge of the operational use of security monitoring tools (SIEM, EDR). Ability to assess complex logs, recognise patterns, and derive actionable insights. Actively develops both technical and soft skills, and stays current with changes in the field. A credible voice and source of knowledge in the department. Autonomy and Contribution Style Full autonomy during complex SOC escalations. Skills and confidence to coordinate the team's response. Collaborates with, and gives guidance to, the team on arising issues. Once fully onboarded, demonstrates the ability to handle Tier 3 shifts. Complexity High complexity: oversees entire projects and influences cross-functional teams; decisions impact the department and adjacent areas. Creates clear, structured, reproducible documentation that informs stakeholders of risks, findings, and recommended actions. Recognises higher-level security issues and resolves them independently; supports junior members in resolving theirs. Leadership No formal leadership responsibilities. Actively coaches more junior team members to share knowledge and grow as a team. Responsibilities Monitor security alerts and perform initial triage; classify (false positive, true positive, uncertain) and close out confirmed false positives correctly Take full ownership of escalated and the most complex alerts: root-cause analysis, log correlation, validating assessments, determining next steps Own client communication for assigned alerts, including difficult or high-risk escalations from more junior analysts, to a consistent quality standard Independently execute containment actions across impact levels; approve escalations from more junior analysts Own the team's overall workload and service-level adherence day to day; pull in support or escalate when targets are at risk Answer cross-department questions on security operations; improve documentation and working instructions for junior levels Mentor junior and mid-level colleagues Identify patterns across multiple cases and escalations that point to systemic detection gaps or false-positive sources, and turn them into structured input for the detection content owners — not one-off flags Contribute to team projects and process/efficiency improvements Not in scope at this level, or ever, on this track Incident response casework — a separate specialisation Detection rule ownership, detection engineering, and threat hunting — owned by a separate team Requirements 4+ years hands-on SOC/security operations experience Proven ability to own and drive the team's SLA/workload independently Strong client communication in high-risk situations Track record mentoring junior colleagues Solid log analysis and EDR platform experience; familiarity with major cloud platforms Language fluency matching the client base supported; English internally; Dutch and/or German required or strongly preferred depending on client-facing exposure Growth path From here, the role forks: an individual-contributor track (Staff-level, then an optional cross-functional Principal role), or a people-leadership track (Team Lead). About Eye Security Eye Security provides cybersecurity with embedded cyber insurance solutions for organisations across Europe. Headquartered in the Netherlands, 200+ FTEs and growing internationally. We combine 24/7 detection and response with hands-on incident response to keep SMEs protected. Find Jobs in Netherlands 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 We are seeking an exceptionally organized, tech-forward Talent Operations Associate to join our Global Talent Acquisition team. As our Talent Operations Associate in London , you will bridge the gap between ensuring our recruiters, and interviewer community are able to find the best talent, through cutting-edge Talent Operations. We are seeking a proactive AI and automation expert to transform our hiring operations. In this role, you will leverage emerging tools to streamline scheduling, resolve logistics challenges, and build data-driven dashboards. If you thrive on solving complex problems, engaging consultatively with senior stakeholders, and redefining talent operations, we want to hear from you. Key Responsibilities Data reporting: handle regional and departmental data reporting, and produce reports and dashboards for the talent acquisition team AI, automation & workflow optimisation: use AI tools and automation to remove manual bottlenecks, hunt for friction points in daily operations, and redesign workflows toward an admin-zero environment. TA Ops projects: Work on a range of strategic projects as needed for example interviewer training, implementing new tooling or designing refined TA processes. Additional Responsibilities Data quality: perform regular data-quality checks to keep reporting accurate and reliable. Ashby / ATS ownership: own and configure Ashby within agreed standards and controls, testing new features and AI integrations to improve pipeline velocity. Contract configuration: configure the contracts for your region and update them as Legal and the People team make changes in Ashby, and build addendums (e.g. start date) that can live in Ashby. Support the recruiters in your region with Ashby and workflow optimisation: optimise interview plans, set up automations, make sure comms are correct, and unblock recruiter issues as they arise. Process documentation: write SOPs and policies for TA and keep the knowledge base up to date as things move forward. Required Qualifications A Bachelor's or Master's degree a related field, or relevant work experience in these fields. Curious Problem-Solving: You enjoy learning about issues, asking questions and doing research to find solutions to complex problems. AI & Automation Proficiency: A demonstrated passion for using AI tools, prompt engineering, or workflow automations Data Fluency: Demonstrated ability to work with data and build reporting dashboards to guide decisions. Executive Presence: Confident, tactful communication skills with the ability to manage senior stakeholders and hold them accountable to timeline commitments. Project Management: Ability to prioritize, organize and manage multiple projects in various stages with ease. 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 Jobs in United Kingdom 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

Job Description Job Description Kronos has a long history of avionics engineering working with some of the largest aircraft integrators in the world. We always provide our partners with 100% customers satisfaction and on time delivery. If you are excited about working for a company that takes its job seriously and does not cut corners you will have a home with Kronos. As an Electrical Methods Engineer , you will be responsible for creating, structuring, and maintaining work instructions, assembly sequences, and manufacturing documentation for the electrical modules used in our civil and military flight simulators. Using 3D CAD models, you will define clear, safe, and optimized methods to ensure consistent, high-quality execution in production. Responsibilities: Develop, maintain, and optimize electrical work instructions , including assembly sequences, diagrams, illustrations, and tooling requirements. Use 3D CAD models (CATIA, SolidWorks, Creo, etc.) to analyze mechanical and electrical assemblies, extract views, define steps, and validate manufacturing feasibility. Document electrical assembly best practices. Collaborate with mechanical and electrical engineering to clarify designs and recommend manufacturing improvements. Manage changes to work instructions through the change control process (PLM/ERP). Act as PLM administrator for manufacturing documents related to electrical instructions. Work with manufacturing, quality, and integration teams to resolve electrical issues related to assembly sequences. Document manufacturing returns and improve process standardization and repeatability. Participate in the Industry 4.0 transition (digitization, 3D visualization, electronic instructions). Qualifications: College diploma (DEC) in electrical engineering, design, or a related field. Minimum 5 years of experience in methods or electrical work instruction development. Proficiency with CAD platforms and the ability to analyze complex assemblies. Knowledge of Windchill PLM, MPMLink, and PLM Configurator. Experience in a manufacturing environment. Experience with ERP and routing management (Oracle). Controlled Goods compliance (and ideally ITAR). Bilingual in French and English. \nCompany Description Kronos always provides our partners with 100% customer satisfaction and on time delivery. If you are excited about working for a company that takes its job seriously and does not cut corners you will have a home with Kronos. Company Description Kronos always provides our partners with 100% customer satisfaction and on time delivery. If you are excited about working for a company that takes its job seriously and does not cut corners you will have a home with Kronos.

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