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Die Rolle Wir haben in den letzten Jahren gezeigt, dass wir echte Kundenprobleme lösen können. Jetzt geht es darum, aus bewährten Lösungen wiederholbare Produkte zu machen, die sich skalierbar verkaufen und liefern lassen. Genau dafür suchen wir Dich! Du machst aus validierten Kundenlösungen skalierbare Produkte. Unser Product-Modell folgt drei Phasen: 0→1 (Kundenproblem verstehen, Lösung im Kundenfall beweisen), 1→n (daraus ein wiederholbares Produkt machen) und n (skalierbar verkaufen, liefern, weiterentwickeln). Dein Fokus liegt auf 1→ n1→n: Du klärst, was das Produkt ist, für wen, welchen messbaren Mehrwert es liefert und wie es als Standardangebot verkauft und geliefert wird. Du verantwortest Produkt und Produktisierung – Engineering, Delivery, Sales und Product Marketing bleiben für Umsetzung, Kundenprojekt, Opportunity und Vermarktung zuständig. Darüber hinaus verantwortest Du den Lifecycle bestehender Produkte: Du sicherst ihre Stärken und Standards und entwickelst sie gezielt weiter. Deine Aufgaben: Validierte Lösungen konsequent in wiederholbare, standardisierte Angebote überführen Zielkunden, Pain, Business Value und Value Proposition schärfen Klaren Standardumfang und klare Produktgrenzen definieren – inklusive dessen, was bewusst nicht dazugehört Gemeinsam mit Engineering die notwendige Produktreife herstellen Kundenfeedback pragmatisch in Produktentscheidungen übersetzen Product Marketing die fachliche Grundlage für Positionierung, Messaging und Content geben Sales und Presales befähigen, das Produkt ohne permanente Product-Unterstützung zu erklären und zu verkaufen Delivery befähigen, Einführung und Betrieb mit kalkulierbarem Aufwand umzusetzen Lifecycle, Weiterentwicklung und Priorisierung verantworten, für neu produktisierte ebenso wie für bestehende Produkte, deren Stärken und Standards es zu sichern gilt Was Du mitbringst 5+ Jahre relevante Erfahrung im Product Management im komplexen B2B- bzw. Enterprise-Software-Umfeld Nachweisbare Erfahrung darin, aus individuellen Kundenanforderungen, Piloten oder Prototypen ein standardisiertes, wiederholbares Produkt zu machen Sehr gutes technisches Verständnis für komplexe Software-, Daten- und AI-Produkte: Du arbeitest mit Engineering auf Augenhöhe und verbindest Business, Kunde, Produkt und Technologie – ohne selbst Engineer sein zu müssen Pragmatische Arbeitsweise mit starkem 80/20-Schnitt und schneller Entscheidungsfähigkeit auch bei unvollständigen Informationen, getragen von fundierter methodischer Product-Erfahrung Hohe Ownership: Risiken früh erkennen und mit einer klaren Empfehlung kommen statt mit der Bitte um mehr Zeit oder Ressourcen Klarer Fokus auf Business Value und Ergebnisse statt auf Prozesse, mit dem Talent, Komplexität zu reduzieren Von Vorteil: Erfahrung mit Industriekunden oder Enterprise-Lösungen wie Manufacturing, PLM, ERP, SCM oder Data Reisebereitschaft für Kundentermine vor Ort Sehr gutes Deutsch und Englisch in Wort und Schrift Was die Rolle nicht ist Damit Du einschätzen kannst, ob die Rolle zu Dir passt: Wir suchen bewusst nicht einen klassischen Product Owner mit Schwerpunkt Backlog und Tickets, einen reinen Projektmanager, einen weiteren 0→1-Innovator, einen Presales-Spezialisten, einen reinen Strategen, einen technischen Product Manager, der primär in Features und Architektur denkt. Benefits: Echte Gestaltungsverantwortung: Du prägst eine neu definierte Rolle und unser Product-Betriebsmodell für 2027 und darüber hinaus Kurze Wege: direkte Zusammenarbeit mit Geschäftsführung, Engineering, Sales und Delivery Flexibles Arbeiten: Hybrides Arbeiten, flexible Arbeitszeiten und 30 Tage Urlaub Modernes Umfeld: Büro im Münchner Werksviertel (House of Communication), moderne Ausstattung und internationale, diverse Teams Entwicklung & Kultur: Regelmäßiges Feedback, flache Hierarchien und kollaborative Zusammenarbeit Plus: Spendit Card, Urban Sports Club oder EGYM Wellpass, kostenlose Getränke, Zuschuss zur betrieblichen Altersvorsorge, Kaffee & Obst sowie Team- und Office-Events Find more English Speaking Jobs in Germany on Arbeitnow

Role To plan, coordinate, oversee, manage, negotiate and direct PTI service providers in the providing of safe, timely and cost- effective transportation and heavy hauling/rigging services for power transformers and transformer related accessories, ensuring timely delivery while being sensitive to protecting PTI assets and exposure to warranty claims that may result from inappropriate handling during transportation or offloading. Responsibilities Set up and manage the logistical and financial aspects of transporting materials by truck, road, rail, ocean, and other transportation methods. Provide analysis of freight modes, classifications, dimensional loads, routings for all inbound and outbound freight Provide freight estimates to Sales & Quotations and Supply Chain departments Ensure freight requirements are met in a cost effective and efficient manner Ensure all shipments and documentation are in compliance with applicable regulations, and as per customer specifications Provide all technical design information in order to meet all road restrictions Communicate any and all logistics related matters with both internal and external stakeholders. Handle and resolve customer complaints Insurance/transport damages ? file claims for incoming/outgoing damaged materials Check customs issues for inbound/outbound shipments Contract offloaders ? rates, schedules, requisition for purchase orders, and approve invoices Negotiate, set-up and manage offloading contracts Coordinate work in process with Production Supervisors to ensure internal customer requirements are met and smooth production flow is achieved without interruptions Meet all departmental goals in relation to output, quality, and on-time delivery of materials Attend production meetings Ensure equipment is being kept in good condition Order departmental supplies, as needed Prepare applicable production reports Perform supervisor critical inspections and ensure corrective actions are performed Communicate milestone dates to Contract Administration & Quality Assurance to schedule inspections Understand the product and processes in the assigned and surrounding departments Recommend improvements in shipping methods Work with External Customers as required for inspections and repairs Develop a complete comprehension of labour contract to ensure that all decisions and actions are in compliance. Enforce company policies and rules consistently Perform according to company?s certified ISO standards Coordinate and manage the transportation of oversized and dimensional transformer shipments by truck/road, Canadian National (CN), and other railway networks as required. Liaise directly with rail carriers, trucking companies, transportation authorities, and specialized transportation service providers to secure permits, routing approvals, and transportation requirements. Attend EQP, transformer design, and project planning meetings to provide transportation and logistics expertise during the design phase Perform final logistics and transportation readiness reviews prior to shipment to ensure compliance with customer, carrier, railway, regulatory, and project requirements Review and approve transformer storage fees and associated charges when customer-owned equipment remains at PTI facilities beyond scheduled shipping dates Ensure all customs, export, and import documentation is accurate, complete, and compliant with applicable regulations and customer requirements. Coordinate inbound and outbound transportation projects involving rail, road, ocean, and intermodal freight movements while maintaining cost, schedule, and safety objectives. Requirements Minimum 5 years of logistics, transportation, supply chain, or traffic management experience involving oversized, dimensional, heavy-haul, truck/road, rail, and international shipments. * Experience working directly with railway companies, including CN, CPKC, or other rail

Voltus represents the potential of us to better manage energy through simple, cost and risk-free demand response programs. Our commercial and industrial customers earn cash by letting us maximize the value of their operational flexibility in energy markets. We hire people who are bright, gritty, and good, who care about a cleaner energy future, and who want to work in a fast-paced, entrepreneurial environment. The Role As a Customer Success Associate, you get new customer sites into the energy market and ready to perform so they start earning. You own the project management of onboarding from signed contract to a live site, which means keeping data collection, registrations, hardware installation, and testing moving across Sales, Field Engineering, Market Operations, and Dispatch Operations. Our goal is to get sites live in under 100 days. You are the main point of contact for the customer along the way, and you set expectations early about what participating in the program will actu Please mention the word SUMPTUOUSNESS and tag RMmExMzpkMjAwOjEzOjcxOjox when applying to show you read the job post completely (#RMmExMzpkMjAwOjEzOjcxOjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

About Us Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we're dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all. About this Position As an Senior Application Security engineer , you will support G-P's application security program, ensuring the safety of both web platforms and integrated AI/LLM systems. You will evaluate web technologies and AI workflows using enterprise-grade tools, enforce AI security guidelines, and coordinate remediation efforts with engineering teams. What you will do: Participate in threat modeling exercises with engineering team members for application and AI-driven architectures Triage SCA/SAST/DAST/CSPM findings by eliminating false positives and providing well-vetted vulnerabilities to engineering teams Support vulnerability management efforts for networks and infrastructure Partner with engineering teams ensuring timely remediation of security findings Perform security assessments, reviews, and internal penetration tests Support application security programs and security team initiatives Develop scripts and tools to automate repetitive security tasks, such as log analysis, patch management, and incident detection. Build custom solutions to integrate security tools with existing systems using languages like Python, JavaScript, or Go. What we are looking for: Minimum Requirements: Education:BS (or higher) in Computer Science or related field, or equivalent work experience. Experience: 3+ years of experience in application security with any combination of the following: threat modeling experience, secure design reviews, code reviews, pen-testing Excellent communication skills and business acumen Proficiency in coding/scripting languages (e.g., Python, Go etc.). Web application penetration testing experience (CTFs, Bug Bounty, etc) Amazon Web Services (AWS) security and engineering knowledge and experience Experience with developing or testing web application technologies Nice to have security certifications (OSCP, OSWP, eCPPT, eWPT, Security+, etc) Experience with Linux, Docker, Terraform, and programming against REST APIs Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role. Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows: Sales Roles: This position is eligible for a commission structure in addition to base salary. Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary. Benefits G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more. Individuals residing, or applying to work, in the United States: California or Philadelphia , Pennsylvania, please review the following additional information: G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance , and Philadelphia applicants can review information pertaining to Philadelphia's Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster . Any consideration of a candidate's background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate's specific record and the duties and requirements of the specific job. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at Find more English Speaking Jobs in United Kingdom 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 looking for a skilled, tech-savvy Legal Operations Specialist to join our fast-paced legal team. As a core member of the department within a leading payment processing company, you will help drive operational excellence, scale our legal tech stack, and streamline workflows. The ideal candidate helps bridge the gap between legal expertise, technology, and data-driven efficiency. You will be responsible for managing our complex contract ecosystems, optimising team collaboration tools, and leveraging Artificial Intelligence (AI) to design modern, automated legal processes. Key Responsibilities: Legal Tech Stack & Automation Strategy: Support the administration, integration, and continuous improvement of our legal technology tools, with a heavy emphasis on Contract Lifecycle Management (CLM) systems. Atlassian Ecosystem: Support the legal department's Jira infrastructure. This includes assisting with the design, maintenance, and optimisation of workflows in Jira Service Management (JSM) for legal intake, helping manage Jira Spaces, and building out a comprehensive, user-friendly knowledge base in Confluence. AI & Process Engineering: Proactively identify opportunities to embed AI and machine learning tools into everyday legal operations, supporting the development and implementation of AI-driven efficiencies (e.g., automated contract review, AI search optimisation, legal operations chatbots, and automated triaging) to help reduce cycle times. Workflow Optimisation: Evaluate existing legal processes, identify bottlenecks in the payment processing legal pipeline (e.g., merchant agreements, vendor contracts, regulatory tracking), and engineer streamlined, scalable workflows. Data Analytics & Reporting: Design dashboards and generate metrics within Jira and CLM tools to track legal spend, turnaround times, contract volumes, and team capacity. Present actionable insights to legal leadership. Vendor & Resource Support: Help manage relationships with legal tech vendors (e.g. Brightflag) and ensure the team is maximising the value of industry resources (e.g., CLOC, ACC). Required Experience & Qualifications Minimum of 1 year of experience in Legal Operations, ideally within a fintech, payment processing, or highly regulated corporate environment. Experience working with enterprise CLM systems (e.g., Ironclad, LinkSquares, Icertis, or Conga), including template building and workflow routing. Good working knowledge of Jira, specifically designing custom workflows, queues, and SLAs in JSM, helping manage Jira Spaces, and structuring documentation in Confluence. Experience using generative AI tools, prompt engineering, or AI-backed legal tech features to build efficiencies, automate repetitive tasks, and analyse legal data. General understanding of the legal operational challenges unique to payment processing, financial services, or tech companies. Preferred Skills & Core Competencies Tech-Forward Mindset: Instead of simply using tools, look for ways to make them talk to each other. Experience with integrations (APIs, Zapier) is a massive plus. Problem-Solving & Agility : Ability to thrive in a high-volume, rapidly changing corporate environment. Project Management: Strong organisational skills with a proven ability to manage and support multiple tech implementation projects simultaneously (PRINCE2 qualification a plus, but not necessary). Collaboration & Communication: Exceptional ability to translate complex technical or legal requirements into clear, user-friendly processes for cross-functional stakeholders such as Product, Sales and Compliance. 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

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Manager of the EMEA Digital Natives Applied AI Architecture team, you'll drive adoption of frontier AI across Europe's fastest-growing technology companies: SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. Your team makes Anthropic's products (Claude Enterprise, Claude Code, and the Claude API) successful in production. They address each customer's business needs and technical requirements, and they meet the high bar for reliability and safety that these companies' own users expect. You'll lead and grow a team of Applied AI Architects across EMEA. You'll set the pre-sales standards for the segment, develop each person on the team, and act as a technical lead on some of Anthropic's most strategic European accounts. You'll work closely with Sales, Product, and Engineering to help digital-native companies build Claude into their core products and platforms. You'll also explain complex solutions clearly to both engineers and executives. Responsibilities Manage and mentor a distributed team of Applied AI Architects, providing technical guidance and career development Set goals and run performance reviews that drive growth and output Work directly with a small number of the highest-value EMEA digital-native customers on their AI adoption strategy, including: use case scoping building technical champions running POCs Partner with EMEA GTM leadership to understand customer requirements and co-build segment strategy Own the technical side of pre-sales, making sure your team delivers compelling demos and validates customer ROI Guide customers through EMEA-specific technical and procurement requirements, including GDPR, the EU AI Act, and data residency Align cross-functional stakeholders across time zones and regions to drive business outcomes Travel regularly across EMEA for executive sessions, technical workshops, and relationship building Lead the vision and execution of solutions that use our latest models for tech-forward use cases Represent Anthropic in the European tech community through conferences, meetups, webinars, and technical content Stay current on AI/ML developments and the competitive landscape in the European tech sector You may be a good fit if you have 7+ years of experience as a Solutions Architect, Sales Engineer, or in a similar pre-sales technical role 3+ years of experience managing pre-sales or technical GTM teams, ideally across multiple EMEA markets Experience selling to and working with digital-native companies, such as vertical or horizontal SaaS, consumer tech, fintech, PaaS, or developer platforms Familiarity with how European tech companies evaluate and procure technology, including security reviews, DPAs, and regulatory scrutiny Deep technical proficiency with API integrations, production LLM use cases, and AI-powered system architecture Hands-on experience with prompt engineering and LLM evaluation, plus working knowledge of how large language models are built and operate A strong grasp of developer tooling, SDKs, and the integration patterns common in modern software companies Enjoyment of building foundational teams in unstructured, fast-moving environments Strong executive presence and the ability to build deep trust with CTOs, engineering leaders, and technical founders Excellent communication, collaboration, and coaching skills The ability to make ambiguous problems clear and find principles that carry across scenarios A passion for making powerful technology safe and beneficial, with a habit of thinking beyond past checklists and playbooks The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 — £230,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ----- addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. 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About Us Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we're dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all. G-P helps organizations build global teams in minutes, not months. As part of this mission, we've created an indispensable AI agent for HR leaders, G-P Gia™ . Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%. About this Position We are seeking a highly motivated AI Engineer to join our G-P's Gia AI Engineering team, building the data and AI tooling behind Gia's go-to-market: pipelines, integrations, analytics and agent workflows. What you will do: Build and run data pipelines across Salesforce, HubSpot, Stripe and Databricks Maintain the GTM analytics models and dashboards Ship LLM-based agents and automations for Sales, Marketing and Finance Productionise integrations, with tests and monitoring What we are looking for: Minimum Requirements: 2+ years of Python and SQL in production Strong AI Fluency Experience with a cloud data platform (AWS preferred) LLM application development (prompting, tool use, evals) REST API integrations Git-based engineering practice Preferred Qualifications: CRM data (Salesforce or HubSpot) Data Platform (Databricks or Snowflake) The annual gross fixed pay range for this position is GBP 46,000 - 57,000 plus variable compensation Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role. Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows: Sales Roles: This position is eligible for a commission structure in addition to base salary. Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary. Benefits G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more. Individuals residing, or applying to work, in the United States: California or Philadelphia , Pennsylvania, please review the following additional information: G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance , and Philadelphia applicants can review information pertaining to Philadelphia's Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster . Any consideration of a candidate's background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate's specific record and the duties and requirements of the specific job. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About the job Mistral builds AI systems that enterprises run on their own terms, in finance, manufacturing, defense, healthcare, and the public sector. The Solutions organization turns customers' hardest problems into AI they own, run, and scale on Mistral. It is one of the fastest-growing functions in the company: 650 people by end of 2026, across EMEA, the US, and Asia-Pacific, delivering measurable business outcomes for enterprise customers worldwide. The Solutions organization includes Deployment Strategists, Applied AI Engineers, Infrastructure Solution Architects, and Applied Scientists. They work with enterprise customers from pre-sales through implementation and deliver AI systems that produce measurable business outcomes. Solutions Operations is the function that makes this scale. It runs staffing and capacity planning across regions, the go-to-market motion by industry vertical and capability, delivery processes and tooling, the data behind our decisions, and value and customer-success measurement, with hubs in Europe, North America, and Asia-Pacific. We are hiring a Head of Solutions Operations . We are looking for an entrepreneurial COO or a former Forward Deployed Engineer with years of experience. This is a build-the-1-to-10 role: you will take a young, fast-growing function and turn it into the operating system that lets Solutions scale from hundreds to thousands of people without losing what makes it work. You will lead a team of program leads and regional operators across three continents, and work as a business partner to Solutions leadership. What you will do Own the Solutions operating system end to end. One process from pre-sales to post-sales, a single source of truth for people, projects, and opportunities, the Solutions tooling stack, and safety, security, and compliance built into how the team works. Industrialize what already works. Turn delivery and vertical playbooks, staffing frameworks, and the value and ROI methodology into reusable assets the whole team runs on, and drive their adoption in every geography. Build the global operating model. Keep core operations centralized while ensuring real adoption and the right local adaptation across EMEA, the US, and Asia-Pacific, with full-stack regional operators on the ground. Staff demanding customer engagements. Own capacity planning and forecasting, skills-to-project matching, time-to-staff, utilization, and bench health across all geographies. Make customer success measurable. Stand up delivery-outcome measurement and customer-satisfaction systems, and run the feedback loop that turns field learnings into product requirements and reusable IP. Make AI-native operations the default. Build internal tools, agents, and automations that remove manual work from planning, staffing, reporting, and delivery follow-ups, starting with your own team. Lead and grow the team. Hire, mentor, and develop program leads and regional operators, raise the technical bar of the function, and build the hiring plan for its next phase. Partner across functions. Work daily with Solutions leadership, regional Sales leadership, Product and Engineering, RevOps, and Talent Acquisition, and bring executive judgment on where to invest, slow down, or say no. How We Work in Solutions We care about people and outputs. What matters is what you ship. The best idea wins, whether it comes from a principal engineer or someone in their first week. Always ask why. The best solutions come from deep understanding, not copying what worked before. We say what we mean. Feedback is direct and given because we care. No politics. Low ego, high standards. We embrace an unstructured environment and find joy in it. About you Whatever your path, you bring: Extensive leadership experience , with demonstrated impact building and leading teams or functions in a fast-scaling environment. A track record of industrializing something handcrafted but working : processes, systems, and teams that scaled an order of magnitude without losing what made them work. The ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. You are hands-on and biased toward action. Data-driven and AI-fluent : you build the internal tools, automations, dashboards, and AI workflows you rely on. Global operating range : you work naturally across geographies and cultures, with the executive presence to hold a room with C-level stakeholders and the credibility to challenge senior leaders. Stakeholder management : you align competing priorities and drive decisions without formal authority. Fluent in English ; additional languages are a plus. Ideally Experience in enterprise software, AI, or deep-tech delivery, or top-tier strategy consulting on complex technical transformations. Experience operating at global scale across EMEA, the US, and Asia-Pacific. Hands-on experience building AI-native operations: automating workflows with LLMs and agents rather than prompting a chatbot. MBA or advanced degree preferred. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy . Find more English Speaking Jobs in France on Arbeitnow

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ----- addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers' customers. We're growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn't need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Find more English Speaking Jobs in Germany on Arbeitnow

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in United Kingdom on Arbeitnow

FEQ128R5 Solutions Architect Greenfield Enterprise France The role is based in Paris or within commuting distance of the office. The Role As a Solutions Architect, you will lead the technical strategy for your Greenfield (New Logo) customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations Track record of driving platform adoption and consumption growth within accounts Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences Fluency in French and English Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certifications (Data Engineer, ML, Platform) Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against Background in a data/AI company or cloud provider Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in France on Arbeitnow