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Der Kopp Verlag ist ein unabhängiges Medien- und E-Commerce-Unternehmen mit über 30 Jahren Erfahrung am Markt und einem eigenständigen publizistischen Ansatz. Unser Sortiment reicht von Büchern und Zeitschriften über Nahrungsergänzungsmittel, Lebensmittel und Drogerie bis hin zu Outdoor & Survival sowie Haus & Garten. Unser Onlineshop wird auf Basis von Shopware weiterentwickelt – aber unsere IT besteht aus deutlich mehr als nur einem Shopsystem. Dazu kommen interne Anwendungen, Schnittstellen zwischen unseren Systemen, Websites und Automatisierungen. Dich erwartet ein ambitioniertes Umfeld mit kurzen Entscheidungswegen, viel Eigenverantwortung und echtem Gestaltungsspielraum. Wenn du Ideen hast, kannst du sie bei uns nicht nur präsentieren, sondern auch umsetzen. Du entwickelst gerne über den gesamten Stack, verstehst, wie Systeme zusammenspielen, und nutzt moderne KI-Coding-Tools selbstverständlich produktiv? Du willst nicht nur Tickets abarbeiten, sondern technische Lösungen bis zum Betrieb mitgestalten? Dann bist du bei uns richtig. Dein Job Du entwickelst Webanwendungen im Frontend und Backend – vom Onlineshop über interne Tools bis hin zu Websites und Automatisierungen Du entwickelst unseren Shopware-Onlineshop technisch weiter und setzt neue Funktionen, Seitentypen und Komponenten um Du entwickelst Plugins, Themes und Storefront-Funktionen und optimierst zentrale Shopbereiche hinsichtlich Performance und technischer Qualität Du konzipierst und entwickelst Schnittstellen zwischen Shop, ERP, PIM, Logistik und weiteren Systemen Du setzt Anforderungen aus den Fachbereichen in funktionierende und wartbare Software um Du arbeitest bei der Umsetzung neuer Shopfunktionen eng mit E-Commerce und UX/UI zusammen und überführst gestalterische Konzepte in technisch saubere Lösungen Du entwickelst und pflegst APIs sowie Datenflüsse zwischen unseren verschiedenen Systemen Du nutzt KI-Coding-Tools wie Claude, Cursor oder Copilot routiniert für Entwicklung, Debugging, Refactoring, Tests und Dokumentation und prüfst laufend neue Werkzeuge für unseren Entwicklungsprozess Du beteiligst dich an Code-Reviews und achtest auf sauberen, nachvollziehbaren und wartbaren Code Du begleitest deine Themen von der Konzeption über die Entwicklung und Tests bis zur produktiven Inbetriebnahme Du übernimmst Verantwortung für deine Lösungen und arbeitest eng mit den Fachbereichen und der IT-Leitung zusammen Das bringst du mit Du hast praktische Erfahrung als Fullstack-Entwickler, Webentwickler oder in einer vergleichbaren Position Du verfügst über gute Kenntnisse in PHP, idealerweise mit Symfony, sowie in modernem JavaScript/TypeScript Du kennst moderne Frontend-Technologien und hast idealerweise Erfahrung mit Vue.js und Twig Du arbeitest sicher mit relationalen Datenbanken wie MySQL/MariaDB und SQL Du hast praktische Erfahrung in der Entwicklung und Anbindung von REST-APIs und Schnittstellen Du verstehst die Grundlagen von sauberem Code, Tests, Git-Workflows und Deployment Erfahrung mit Shopware oder einem vergleichbaren Shopsystem ist ein deutlicher Vorteil. Wenn du Shopware noch nicht kennst, solltest du bereit sein, dich intensiv einzuarbeiten Grundkenntnisse in Docker und Linux-Serverumgebungen sind von Vorteil Du arbeitest routiniert mit KI-gestützten Entwicklungswerkzeugen und kannst KI-generierten Code fachlich beurteilen, hinterfragen, testen und sauber integrieren Ein grundlegendes Verständnis für UX/UI und Benutzerfreundlichkeit hilft dir bei der Zusammenarbeit mit E-Commerce und Design Du arbeitest selbstständig, strukturiert und lösungsorientiert und übernimmst Verantwortung für deine Themen Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift Eine bestimmte Ausbildung oder ein Studium ist für uns nicht entscheidend. Wenn du die entsprechende praktische Erfahrung und das technische Können mitbringst, bist du auch als Quereinsteiger willkommen Das bekommst du Kurze Entscheidungswege und direkter Austausch mit den beteiligten Fachbereichen Eine überdurchschnittliche Vergütung 30 Tage Urlaub sowie den 24. und 31. Dezember frei Firmenfitness mit EGYM Wellpass Eigenes Betriebsrestaurant, gratis Tafelwasser, Kaffee und frisches Obst Hohe Mitarbeiterrabatte auf unser komplettes Sortiment Vermögenswirksame Leistungen und die Möglichkeit einer betrieblichen Altersvorsorge Weiterbildungsbudget und Möglichkeiten zur fachlichen Weiterentwicklung Einen modernen, lichtdurchfluteten und klimatisierten Arbeitsplatz im Firmengebäude direkt an der Natur B28-Lage mit Parkplätzen direkt am Gebäude, guter ÖPNV-Anbindung und Radabstellflächen Umkleideräume und Duschen Gemeinsame Mitarbeiterevents Eine sorgfältige Einarbeitung, eine langfristige Perspektive und eine wertschätzende Du-Kultur Klingt gut? Dann los. Wir freuen uns auf deine Bewerbung – das brauchen wir von dir: Kurzes Anschreiben Lebenslauf Frühestmöglicher Eintrittstermin und Gehaltsvorstellung Optional: GitHub-Profil, eigene Projekte oder andere Arbeitsproben Find Jobs in Germany on Arbeitnow

Afin d'accompagner le développement de nos activités, nous recherchons un(e) alternant(e) pour contribuer au maintien, au déploiement et à l'amélioration continue de notre Système de Management de la Qualité (SMQ). Vos missions : Rattaché(e) au service Qualité, et sous le tutorat de notre Ingénieur Qualité et système, vous participez à l'animation et à l'amélioration du SMQ, en collaboration avec les différents services de l'entreprise. À ce titre, vos principales missions seront les suivantes : Gestion documentaire : participer à la rédaction, à la mise à jour et à la maîtrise des procédures, processus, modes opératoires et autres documents du SMQ ; Amélioration continue : contribuer à l'identification des axes de progrès et proposer des actions visant à améliorer l'efficacité des processus ; Audits qualité : participer à la préparation et à la réalisation des audits internes, ainsi qu'au suivi des écarts et des plans d'actions associés ; Suivi des non-conformités : contribuer à l'analyse des causes, au suivi des actions correctives et préventives et à l'évaluation de leur efficacité ; Pilotage des indicateurs : participer à la définition, à la mise à jour et à l'analyse des indicateurs de performance du SMQ ; Conformité normative : contribuer au maintien de la conformité du système aux exigences de la norme ISO 9001 et aux référentiels applicables ; Sensibilisation qualité : accompagner les équipes dans l'appropriation des processus et des exigences qualité ; Démarche d'amélioration du SMQ : participer à la préparation des revues de processus et de direction et contribuer au suivi des décisions prises. Ces missions pourront évoluer au fil de votre alternance, en fonction de votre progression et des projets d'amélioration engagés. Vous préparez une formation de niveau Bac5 en management de la qualité, génie industriel, management des systèmes ou équivalent, et recherchez une alternance vous permettant de développer vos compétences en système de management de la qualité dans un environnement industriel. Vous disposez idéalement de connaissances en : Système de Management de la Qualité et norme ISO 9001 ; Méthodes d'audit et outils d'amélioration continue ; Gestion documentaire et suivi des plans d'actions ; Analyse des indicateurs et des processus. Vous maîtrisez les outils bureautiques, notamment Excel, et êtes à l'aise avec l'analyse et la structuration de données. Vos compétences et qualités Rigueur et méthode , pour garantir la fiabilité des documents et le respect des processus ; Esprit d'analyse et de synthèse , pour identifier les écarts et contribuer à la recherche de solutions ; Organisation et autonomie , pour assurer le suivi des actions et respecter les échéances ; Aisance relationnelle , pour travailler avec des interlocuteurs issus de différents services ; Force de proposition , pour participer activement à l'amélioration continue ; Curiosité et esprit d'équipe , pour comprendre les activités de l'entreprise et contribuer à une culture qualité partagée. Find more English Speaking Jobs in France on Arbeitnow

Job Title: Corporate Controller Location: Hamilton, ON (On-site) Salary: $125,000 - $165,000 Industry: Heavy Equipment, Industrial Machinery & Distribution Overview We are currently recruiting on behalf of a long-standing leader in specialized heavy equipment and industrial machinery distribution seeking an experienced Corporate Controller. Reporting directly to the CFO, this key leadership position oversees all core accounting operations, financial reporting, internal controls, and corporate compliance. The successful candidate will serve as a strategic business partner to operational leaders, driving process improvements, strengthening governance, and managing financial systems across a multi-location, inventory-heavy environment. Key Responsibilities Direct all day-to-day accounting operations, general ledger activities, transactional workflows, banking, and monthly/annual close cycles Prepare, review, and analyze consolidated financial statements, balance sheet reconciliations, and executive management reporting Oversee financial mechanics for capital asset transactions, equipment rental fleets, inventory valuation, fixed assets, and parts/service accounting Partner with the CFO on cash flow management, credit facilities, budgeting, forecasting, and key performance metric tracking Serve as the functional lead for ERP systems, championing workflow automation, financial software improvements, and internal controls Coordinate external audit processes, regulatory reporting, corporate tax, and risk management programs across all operating divisions Mentor, manage, and scale the internal accounting team, establishing performance benchmarks and supporting professional development Qualifications 7+ years of progressive financial management experience, with proven success in a Controller or senior accounting leadership role Strong industry background within heavy machinery, equipment rental/dealership, industrial distribution, or specialized manufacturing Bachelor's degree in Accounting, Finance, or related discipline; a CPA, CMA, or MBA is strongly preferred Deep expertise in financial reporting, internal controls, complex inventory management, and multi-location operations Advanced proficiency with enterprise ERP platforms (e.g., Microsoft Dynamics 365 Business Central or similar) and MS Excel Demonstrated leadership capability with a continuous-improvement mindset and excellent executive communication skills Compensation $125,000 - $165,000 annually, plus comprehensive health, medical, and dental benefits package

Req Id: 433042Connection is everything. It drives us to innovate, explore, and stay close to what matters to us most. At Bell, we're building a more connected future through world-class networks, AI-powered solutions, and digital experiences that elevate how people live, work, and play every day. We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI tools, and a collaborative environment that supports creativity and growth. Want to be part of a diverse team where your work makes a real impact? If you're inspired by innovation that advances how people connect and transforms what's possible, you belong on #TeamBell.SummaryThe TeamThe Applied AI & Data Science team builds and deploys production-grade AI solutions across Bell. We bridge the gap between cutting-edge AI research and operational enterprise systems, delivering autonomous agentic workflows, conversational intelligence, and machine learning systems that transform our internal operations and customer experiences.Position DescriptionWe are looking for a hands-on AI Engineer (CP2) to design, build, and deploy the next generation of AI-driven workflows and autonomous systems at Bell.In this role, you will work closely with data scientists, senior engineers, and business squads to turn prototypes into reliable, production-ready AI applications. You will focus on building agentic workflows, integrating tools and enterprise services via modern protocols (such as Model Context Protocol), and connecting foundation models to enterprise data sources. The ideal candidate combines a strong software engineering foundation with a practical, builder mindset in the rapidly evolving LLM and agent ecosystem.Key ResponsibilitiesBuild & Ship Agentic Applications: Develop, test, and deploy stateful, multi-step agentic workflows and tool-calling systems that automate complex operational and analytical processes.Enterprise System Integration: Implement robust APIs, connectors, and protocols (such as Model Context Protocol / MCP) to securely connect AI agents to internal services, databases, and enterprise platforms.Data & Knowledge Grounding: Build and maintain scalable data retrieval pipelines over structured and unstructured data, utilizing vector search and retrieval-augmented (RAG) architectures to ensure model accuracy and contextual awareness.Squad Collaboration: Partner with cross-functional squads (data scientists, product managers, and enterprise architects) to take solutions from rapid proof-of-concept to production deployments.Reliability & Quality: Implement evaluation metrics, automated unit/integration tests, and observability to monitor model performance, latency, cost, and reliability in production.Critical QualificationsA degree in Computer Science, Engineering, or a related field.2 to 4 years of professional software engineering or data science experience, including at least 1 to 2 years of hands-on experience building with LLMs and agentic architectures.Strong software engineering foundation: Proven proficiency in Python, clean code architecture, robust API design, and integration with production enterprise systems.Hands-on experience with modern AI patterns: Practical familiarity with tool/function calling, agent orchestration patterns, and retrieval-augmented generation (RAG) over enterprise data.Cloud & Data Systems: Experience deploying and operating applications on a major cloud platform (e.g. Google Cloud Platform) and working with structured/unstructured databases.Continuous Learning: An active habit of staying current with fast-moving foundation model capabilities, agent protocols, and developer tooling.Preferred QualificationsExperience deploying AI applications within enterprise environments (e.g. GCP, microservices architecture, enterprise SaaS integrations).Familiarity with emerging open standards in AI tooling (e.g. Model Context Protocol / MCP, agent evaluation frameworks).Practic

Job Description Job Description You're the best and you want to join a team that appreciates you. You want to be a part of an organization where you can create, contribute ideas and excel at opportunities. We offer industry-leading customer experiences. Our residential HVAC installers genuinely care about the customer and take pride in what they do as not "just a job", but a career. The Big Task You will accurately and efficiently install top of the line heating and air equipment in our custome…

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry. SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we're missing is you. You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value. What you'll do Design, build, and deploy machine learning models and systems that operate reliably at scale in production Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings What you have Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar Experience with cloud platforms and containerization technologies Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others Our stack You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned. Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core Datastores: Postgres, MemcachedRedis, Elasticsearch Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration Version control: Gitlab AI Tooling: Cursor, Github Copliot, Claude Code Observability: Datadog Perks Equity stake Discretionary annual bonus Flexible work environment, allowing you to work as many days a week in the office as you'd like or 100% remotely A WFH stipend to support your home office setup Unlimited PTO Up to 16 weeks of fully-paid family leave 401(k) matching Student loan matching program Health, vision, dental, and life insurance Up to $25k towards family building, reproductive health services and Gender-affirming care $500 per year for wellness expenses Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical $360 per quarter to spend on tickets to live events Annual subscription to Spotify, Apple Music, or Amazon music The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location. SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us! To review our candidate privacy notice, click here . #LI-Remote

Our team is committed to enhancing physician and patient quality of life through Elation, a SaaS cloud-based clinical platform. Since inception, we've been focused on building a delightful, world-class experience that empowers physicians to deliver phenomenal care to patients. Customer support has been the same job for twenty years: a queue, a ticket, an SLA, a closed case. That's ending, fast. Over the next 6–9 months, AI will take on more of the routine, repetitive cases at Elation. That doesn't shrink the human role — it builds on it. The work becomes product intelligence: shaping how AI handles conversations, holding the customer-trust moments that need real judgment, and turning patterns into priorities Engineering delivers. We're hiring Support Engineers to anchor that shift: people who don't just close tickets, but trace them back to the line of product code causing them, ship the fix that resolves the customer's problem immediately, and partner with senior engineers on the cases complex enough to need them. You might be the recent engineering grad who spent a summer at a busy front desk, in a popular restaurant, or on a support line because you like people as much as you like problems, and who's been quietly automating things nobody asked you to fix since your first CS class. Or, you might be the person who leads team projects, tinkers with the dashboards, automations, or workflows so automatically that colleagues assume you are an engineer even if you aren't. If that sounds like you, this role turns that problem-solving instinct into your core responsibility. As a Support Engineer, you'll bring empathy and judgment to the cases that need it most, own the quality of AI-driven solutions in your domain, and synthesize patterns that influence Product and Engineering roadmaps. We hire for judgment, taste, and curiosity, not process adherence. The bar isn't how many cases you closed; it's how much you reshaped the conditions under which cases happen. Role and Responsibilities Synthesize and share customer insights. Surface patterns from your cases in weekly and monthly reports, participate in Product and Engineering discussions with what you're learning, and mentor Support Team members on AI workflows, scripting, and SQL queries. Use Good Judgment to Solve Cases. Own customer escalations with cases that genuinely require seasoned judgment, the ones AI can't safely close. Build and protect customer trust in moments that matter. Build and own AI quality. Configure AI within Elation's stack (intents, knowledge sources, escalation rules), build lightweight external automations and scripts, and own the quality of AI outputs in your domain. What success looks like in your first 6 months Delivered solutions that reduced case volume by 10% or eliminated recurring issue categories, with measurable customer impact (e.g., CSAT, reduction in case reopens) A monthly drumbeat of synthesized insights that Product and Engineering act on, with visible impact on customer experience or a measurable drop in case volume Owns a measurable case-volume reduction in your domain by making cases not happen, not by closing them faster You question default workflows instead of just executing them, and you ship more by removing work, not just doing more of it You build with AI to make yourself and the teammates around you faster — automating triage, drafting responses, prototyping internal tools, and turning one-off builds into reusable patterns Support can run with You've picked up or sharpened a technical skill — SQL, Python, an API, a scripting language — specifically because a customer problem needed it, not because a course assigned it Mentors Associate teammates on AI builds and pattern synthesis Identified and closed gaps across internal and customer-facing documentation, improving accuracy and reducing repeat questions. Professional Qualifications 1–5+ years of experience in Engineering, data analytics, or AI/automation tinkering in any field — OR a degree in Computer Science, Engineering, or a related technical field, plus real experience talking to people under pressure (support, hospitality, retail, service, resident advising) Comfortable enough with code to experiment : you've written scripts, touched an API, or built something in Python, SQL, or JavaScript — even if it was just for a class project , team project or yourself A concrete portfolio of things you've built or shipped: prompt-engineered systems, dashboards, automations, class or personal projects — with evidence of outcomes Strong customer-facing communication and trust-building skills Pattern recognition and synthesis muscle AI-native default. Reaches for AI tools first, treats ambiguity as the work rather than a blocker, and wants to learn how to configure and supervise these systems — not just use them A deep desire to drive results for our customers, with high ownership over the outcomes you own Curiosity and natural problem-solving instincts An instinct to raise the bar for the teammates around you — teaching others to build and synthesize, not just modeling it yourself Show us your work Along with your application, in a cover letter send us: 2–3 things you've built or shipped that changed a metric or outcome — a work project, a personal build, or something from school or an internship — what you made, who it was for, why you needed to do it, and what changed. A short story about a time your analysis or insight changed a decision someone else made. Salary range $70,000 - $95,000 CAD Elation welcomes individuals from all backgrounds and walks of life. Elation is proud to be an Equal Opportunity Employer and is dedicated to creating and maintaining a diverse and inclusive work environment. We are committed to equal opportunity for all employees and applicants, and value individuals with diverse perspectives including, but not limited to: race, color, religion, sex, sexual orientation, socioeconomic status, age, gender identity or gender expression, national origin, disability or veteran status. Elation also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. We firmly believe a strong culture that supports a diverse and inclusive workforce allows us to achieve Elation's mission of helping independent primary care thrive.

SLSQ327R414 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Candidates in the listed location(s) are encouraged for this role Remote - Las Vegas Remote - San Fran Remote - Seattle As a Enterprise Account Executive at Databricks , you are a sales professional experienced in leading go-to-market campaigns in Enterprise accounts, specifically in the Gaming space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Sales, you will map to highly visible enterprise clients under the CMEG umbrella. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. Drive value-based growth within the account. Expand the Databricks footprint into new business units and use cases. Exceed activity, pipeline, and revenue targets. Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. Use a solution-based approach to selling and creating value for customers. Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake Prioritize opportunities and leverage appropriate resources. Build a plan for success internally at Databricks and externally with your account What we look for: You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts The ability to simplify a technical capability into a value-based benefit 7+ years of Enterprise Sales experience exceeding quotas in larger accounts Managing a small set of enterprise accounts rather than a broad territory Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000—$374,000 USD 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.

SLSQ128R10 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As an Enterprise Account Executive at Databricks , you are a seasoned sales professional experienced in selling into Federal Financials accounts within the Federal Civilian space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Sr. Director of Enterprise Sales, you will map to a dedicated enterprise client under the Federal Financials umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners Identify and close quick, small wins while managing longer, complex sales cycles Exceed activity, pipeline, and revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Use a solution-based approach to selling and creating value for your customer Promote Databricks' enterprise cloud data platform powered by Apache Spark™ Ensure 100% satisfaction among your customer Prioritize opportunities and apply appropriate resources Build a plan for success internally at Databricks and externally with your accounts What we look for: You have previously worked in an early-stage company, and you know how to navigate and be successful Field sales experience within big data, Cloud, or SaaS sales Experience managing large, complex Federal Financials accounts is preferred. Prior customer relationships with CIOs, program managers, and essential decision makers Simply articulate intricate cloud technologies 5+ years of experience exceeding sales quotas Success working with and growing existing accounts Understanding of Spark and big data preferable Passion for cloud technologies Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $272,000—$374,000 USD 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.

SLSQ427R822 As a Strategic Enterprise Account Executive at Databricks , you are a strategic sales professional experienced in selling into Large Healthcare & Payer accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow two Payer accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Strategic Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Payer Sales, you will map to two enterprise clients under the Healthcare umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners Grow two Enterprise Payer accounts Identify and close quick, small wins while managing longer, complex sales cycles Exceed activity, pipeline, and revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Use a solution-based approach to selling and creating value for your customer Promote Databricks' enterprise cloud data platform powered by Apache Spark™ Ensure 100% satisfaction among your customer Prioritize opportunities and apply appropriate resources Build a plan for success internally at Databricks and externally with your accounts What we look for: You have previously worked in an early-stage company, and you know how to navigate and be successful Field sales experience within big data, Cloud, or SaaS sales Experience managing large, complex Healthcare accounts is preferred. Prior customer relationships with CIOs, program managers, and essential decision makers Simply articulate intricate cloud technologies 7+ years of experience exceeding sales quotas Success working with and growing existing accounts Understanding of Spark and big data preferable Passion for cloud technologies Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000—$374,000 USD 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.

Company Description At Docplanner Group, we're on a mission to help people live longer, healthier lives. As the world's largest healthcare platform, each month, we connect 24 million patients with 280k doctors across 13 countries (through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda). Our marketplaces, SaaS and AI tools simplify daily tasks and help doctors, clinics and hospitals work more efficiently, so they can focus on what really matters: caring for their patients. Learn more about our products here: pro.doctoralia.es Why join us? Real impact – We help doctors help patients. Your work truly makes a difference. At scale, yet agile – 3,000+ employees, but still fast, flexible, and hands-on. ✨ Shape the future, sustain growth – Make a difference now and build for long-term success. Job Description This role is remote within Brazil Your main project is the listing-based pricing rollout across markets. You'll diagnose what's working, propose fixes, get local and global teams on board, and roll out to new countries with clear targets and a steady weekly cadence. You'll also shape how the model evolves for next year. You'll own the ARPU (average revenue per user) target for the segment. Alongside the main project, you'll: Move the ARPU target through specific pricing moves: tighter discount discipline, package mix shifts, price resets by market. Dig into anomalies fast. Spot pricing opportunities across the marketplace that no one's looking at, and make the case for them. Own the segment's pricing recommendations to GTM leadership: propose the moves, defend the trade-offs with data, turn decisions into rollout plans. Drive alignment across sales, local commercial, and global teams on contested pricing calls, without formal authority. Generate optimization hypotheses grounded in data. Design and run behavioral experiments to validate pricing moves before scaling them. Adjust and follow up on budget assumptions as we learn from the market. Maintain country price lists in our internal systems. Qualifications What will help you thrive? 5+ years in pricing, ideally SaaS or marketplace Direct experience working with GTM or sales leaders on pricing decisions Thorough with data. You back conclusions with numbers. Comfort with ambiguity: you know when to stop analyzing and start testing Ability to explain complex numbers simply SQL good enough to pull your own data Strong Google Sheets skills Professional English, comfortable in meetings and writing (B2 or above) Degree in economics, math, business, or similar What to Expect from Our Hiring Process We like to keep things transparent and efficient! Here's what the process usually looks like (though it might vary slightly depending on the role): 1️⃣ Intro Chat – A first call with our Talent Partner to explore mutual fit around relevant skills, value alignment, and motivation. 2️⃣ TestGorilla – (SHL numerical reasoning assessment). 3️⃣ Business Case – A take-home exercise incl. a few days' preparation time, designed to understand how you approach real-life problems. 4️⃣ Hiring Manager Interview – A deeper conversation about your background, aspirations, and experience with Douglas Giehl (Global Pricing Director) and your potential manager in this role . Take this chance to ask anything on your mind—it's just as much about making sure we're the right fit for you, too. 5️⃣ References & Offer! Why You'll Love It Here Global Benefits – No matter where you are, you'll have access to: Healthcare insurance – so you can focus on what matters. Wellness that works for you – from gym memberships to mental health support, we've got you covered. Time off that counts – whether it's a vacation, your birthday, or just a day to recharge, we believe in balance. Local Perks – Depending on your location, you will be entitled to local benefits like meal vouchers (ticket restaurant), transport allowances, or extended parental leave. Career Growth – We're growing, and so can you! You'll find lots of chances to learn, develop, and explore new paths—whether within your team or through cross-functional projects. A Truly Global Team – Work with talented people from all over the world in a diverse and inclusive environment. ⏳ Flexibility That Works for You – Remote work and flexible hours aren't just buzzwords here. While the extent of flexibility depends on your role and team, we value results over rigid schedules. Prefer an office setting? You're welcome at any of our hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome or Bologna. Please note: At this time, we are not able to sponsor visas for this position. To apply, you must already have the legal right to work in your country of residence or the location of the role. What We Believe In At Docplanner, our values guide everything we do: Focus on results – we're here to make an impact. Think like an owner – take responsibility, drive outcomes. ✂️ Keep it simple, keep it lean – smart solutions over complexity. Be respectful and radically honest – openness builds trust. Learn and be curious – growth is part of the job. Don't just take our word for it—check out our Glassdoor to hear what our people say! _ We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We welcome applicants from all walks of life, regardless of gender, disability, or background, and are dedicated to fostering an inclusive workplace where everyone feels valued and empowered to contribute.

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitLab's highest-visibility product bets, collaborating with design partners toward a public beta. In your first year, you'll lead major features from an unclear problem through release, help shape scope with product and users, mentor other engineers, and influence technical decisions across agent workflows and evaluation methods. What you'll do Lead backend features from early product discussions through technical design, implementation, rollout, and post-launch learning. Build the flows, application programming interfaces, and data models behind agent-generated work items, implementation plans, durable specifications, and mergeable code. Develop evaluation and benchmarking systems that measure workflow quality, token cost, and success rate. Use Ruby on Rails and Python to build reliable production systems, with PostgreSQL, GraphQL, representational state transfer, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. Collaborate directly with product, design, engineers, design partners, and users to shape scope and make practical trade-offs. Coordinate multi-person projects across the team and communicate decisions clearly in GitLab's asynchronous, all-remote environment. Mentor other engineers and contribute to technical direction across the Plan group and related artificial intelligence initiatives. Work in short iterations, share progress through demos, and use results and user feedback to guide what comes next. What you'll bring Strong Ruby on Rails experience in a large production codebase and production experience with Python. Experience driving substantial projects with several engineers over multiple months, with clear user or business outcomes. A product mindset and experience owning features end to end, including shaping scope, making trade-offs, engaging with users, and learning from adoption after launch. A full stack background with a current focus on backend engineering, plus the ability to read modern frontend code and design effective APIs. Strong application programming interface design and structured query language fundamentals. Experience exploring artificial intelligence-assisted development. The ability to work independently, collaborate across functions and regions, and support others through technical leadership and mentoring. Experience with GraphQL, PostgreSQL performance at scale, or building and evaluating large language model or agent systems is helpful but not required. We welcome candidates with different backgrounds and transferable experience. If you're excited about the role but don't meet every qualification, we encourage you to apply. About the team We are a team of four engineers, with two backend and two frontend engineers across Canada and Europe. You'll work in an all-remote, async-first environment with weekly sync calls, retrospectives, demos, and short iterations. This is early-stage work with broad ownership, space for creativity, and a fast pace. For more about our team and its work, see Plan Team Handbook Page and Spec-Driven Development Initiative How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab's policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab's EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .