Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Experience in driving data product strategy, including market opportunity assessment, revenue potential analysis, competitive benchmarking, and data partnership development. Proven track record of leading large-scale customer projects with end-to-end ownership of project management, stakeholder engagement, delivery governance, and execution. Strong leadership experience managing data teams, ensuring effective project tracking, resource planning, and timely delivery of business-critical objectives. Hands-on expertise in Cloud, Databricks, SQL, RDBMS, PySpark, and Python, with a focus on building scalable data solutions and automating data processes . Key Requirements: 1–3 years of experience in Data Operations, Data Engineering, Product Management, or Project Management, with a strong understanding of data-driven business environments. Educational background in BE/BTech, MBA, or Postgraduate programs, complemented by experience in managing data projects, driving operational excellence, and delivering business outcomes. Industry exposure to India market data operations within Data Startups, Business Information Companies, Credit Rating Agencies, or similar data-centric organizations. Excellent stakeholder management and communication skills, with the ability to collaborate effectively across business, technology, and client-facing
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Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Client Success Management function is responsible for retaining existing business and drive sales growth through client adoption of Company products and services. Specialize in using deep industry, business processes and product expertise to increase product adoption and utilization. Post-sale client point of contact accountable for value driven engagements across the customer retention lifecycle resulting in client renewals. May handle escalations and coordinate across other functional areas of the Company. Essential Key Responsibilities Effectively lead customer success team(s) to achieve customer satisfaction, programmatic, business, and strategic goals Build and maintain a high performing team through effective hiring, goal setting, rewards, team building and performance management activities Become a trusted advisor to client organizations, deepening relationships with key stakeholders and ensuring they achieve measurable success and ROI with our platform Utilize data to enhance team performance, build compelling business cases, and drive product adoption across the client base Set high expectations for your team, driving them to meet and exceed operational targets through structured and agile processes Serve as a strong advocate for our customers, building lasting relationships with C-level and VP stakeholders to ensure their long-term success Lead from the front, balancing se
FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in
FEQ327R400 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 6+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Role: We are seeking a highly skilled Full Stack Engineer to design, develop, and scale next-generation Data Quality and AI-enabled platforms. In this role, you will work across the entire technology stack—from intuitive user experiences and data visualizations to cloud-native backend services and data processing pipelines. You will partner closely with Data Quality SMEs, Data Engineers, Product Managers, Data Scientists, and Platform Teams to build solutions that support data observability, analytics, data governance, and AI-driven insights. You will help build the next generation of D&B's Data Quality Insights platform, enabling data governance, observability, analytics, and AI-powered decision support for enterprise data products.
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We’re growing our AI team in Ireland and looking for specialists to join us as we scale our capabilities. If you have 2+ years of hands-on experience in AI, GenAI and Agentic systems, we’d love to hear from you. Open Roles We’re hiring across multiple areas, including: AI Architects AI Project Managers AI Software Engineers AIOps and Cloud Engineers And other AI-focused technical roles What You’ll Be Doing Designing and delivering AI-led solutions that solve real business problems Working closely with product, data, and engineering teams Building, deploying, and scaling GenAI Agentic AI systems Partnering with leading cloud and technology providers Contributing to a fast-moving, innovative AI environment What We’re Looking For 2+ years of experience in AI, GenAI, machine learning, or related fields Strong technical skills relevant to your role (engineering, architecture, delivery, or project management) What’s on Offer at D&B Ireland 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day) Holiday buy & sell (the option to buy or sell up to 5 additional days per year) Flexible working - hybrid model Employee Health Insurance Mental Health Support program Pension Contribution Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement) Life Assurance Educational Assistance Program Life-Style Account (D&B will match y
About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role As an Associate Conversation Designer at Pearl, you'll help build and evolve chatbots that support and convert millions of customers around the world. This role is focused on the German market and requires native-level German fluency to design, review, and optimize customer-facing conversational experiences. You'll work alongside experienced conversation designers to create engaging, efficient conversational flows using our in-house language, blending creativity with data to deliver delightful AI + Human-powered experiences. This is an excellent opportunity for an early-career professional who is curious about AI, passionate about conversation design and user experiences, and excited to learn in a fast-paced, collaborative environment. What You’ll Do Design and optimize chatbot flows to convert, engage, and support customers across e-commerce and customer service journeys Write clear, compelling conversation copy that aligns with brand tone and business objectives Analyze customer transcripts and chatbot performance to identify gaps and propose improvements Apply NLP/LLM tools and prompt engineering to enhance response quality and scalability Partner with international teams to localize and align bots with regional goals and personas Collaborate with analytics to evaluate performance metrics and measure impact Conduct QA (functional, linguistic, and regression) testing of bot in
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior AI Security Engineer is responsible for defining, designing, and advancing enterprise-wide security strategies and architectures for AI, GenAI, and machine learning platforms. This role leads the development of secure AI systems at scale by embedding advanced security principles across the AI lifecycle and driving the adoption of standardized, security-by-design practices. The Senior AI Security Engineer partners with engineering, platform, and risk leadership to proactively address emerging AI threats, strengthen organizational security posture, and ensure resilient, compliant, and scalable AI deployments. This role operates with significant autonomy and influences security direction across multiple teams and domains.
Databricks — the global leader in data and AI — is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI — partnering with sales teams to enable some of the world's most innovative organisations to build on the Databricks Data Intelligence Platform. You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue-generating activities of Databricks, and helping the business to improve processes and scale at pace. The impact you will have: Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world's leading data and AI platform. You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate. You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes. You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter. Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks' risk position is protected and internal compliance requirements are met; Supporting the end-to-end contract management lifecycle, providing practical, commercially-minded advice to sales and professional services teams on contractual risks and commercial matters; Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale; Providing support and enablement to sales teams on key c
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Client Success Management function is responsible for retaining existing business and drive sales growth through client adoption of Company products and services. Specialize in using deep industry, business processes and product expertise to increase product adoption and utilization. Post-sale client point of contact accountable for value driven engagements across the customer retention lifecycle resulting in client renewals. May handle escalations and coordinate across other functional areas of the Company
FEQ427R139 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 8+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineerin
Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. We are seeking an experienced and visionary AI Software Architect to lead the design and delivery of enterprise-scale AI and GenAI solutions. This role requires a strong foundation in software engineering, deep expertise in AI/ML frameworks, and a strategic mindset to architect secure, scalable, and high-performance systems. The ideal candidate will have a proven track record of hands-on development and architectural leadership across diverse AI domains.
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Principal Consultant Location: Chennai, India | Work Model: In Office Our Customer Success team in Chennai serves as elite technical advisors for global enterprise teams. We bridge deep software architecture with business strategy, building scalable platform environments that leverage AI-Powered Process Automation to solve mission-critical operational challenges. As a Principal Technical Consultant , you will assume architectural leadership for multi-application platform design, execution, and performance optimization. Top engineering talent joins Appian in this role to move beyond basic application maintenance and ensure applications are resilient, scalable, and built to power mission-critical operations at enterprise scale . What You’ll Do Architect Platform Scalability: Build and maintain standards and tools to ensure high performance and resilience with a focus on reusability, schema optimization, data modeling , system performance, and responsive UX/UI . Engineered Integrations: Perform hands-on design, development, and code reviews using SQL views , stored procedures , and high-concurrency REST/SOAP web services/APIs . System-Level Troubleshooting: Rapidly isolate performance bottlenecks, memory leaks, resource contention, and latency spikes across the entire web application stack. Performance Analysis & Profiling: Analyze database execution plans, JVM/memory utilization, and Locust load test outputs to resolve root-cause architectural bottlenecks. Technical Communication & Enablement: Translate complex system diagnostics in
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking an EMEA Sales Finance Manager to support our EMEA Sales organization. This highly visible and commercially focused role will partner closely with EMEA Sales and Finance leadership to provide value-added financial analysis, business intelligence, and strategic insights that support business performance and go-to-market decision-making. You will analyze pipeline, bookings, deals, customer buying patterns, expenses, and other leading performance indicators , translating complex financial and operational data into clear, forward-looking narratives and forecasts. You will also partner with our Shared Services team to strengthen financial models, analytics, and reporting while driving planning, expense management, process standardization, and automation as the business scales. WHAT YOU'LL DO Commercial Finance & Business Partnership : Partner closely with EMEA Sales leadership and the Deal Desk, providing financial and commercial analysis that supports deal decisions, go-to-market strategy, resource allocation, and business growth. Reporting & Business Analytics : Analyze business trends, customer buying patterns, pipeline, deals, and market performance to deliver actionable insights that inform go-to-market strategy and measure execution effectiveness. Financial Modeling & Planning : Partner with the Shared Services team to build and maintain critical business and financial models covering he
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