Adobe

Software Development Engineer to build cloud services integrating AI/ML and generative AI for Adobe's AEM Sites Optimizer and LLM Optimizer product. The role involves analyzing data, automating hypotheses into self-learning AI-first software, designing prompt engineering strategies, and utilizing RAG.

Machine Learning Engineer at Adobe focused on building and scaling data products and AI/ML solutions for enterprise customers, involving the full lifecycle of model development, deployment, and maintenance.

This role focuses on building AI/ML solutions and agent coordination systems within Adobe Experience Platform, leveraging LLM and ML technologies for enterprise customers. The engineer will architect, implement, and optimize agent-based systems, focusing on reliability, scalability, and performance, while also contributing to platform development and innovation in agent orchestration.

Engineering Manager for Adobe Express in Bucharest, Romania, responsible for leading a team of engineers developing AI/ML-powered features and driving AI adoption across teams. The role involves managing feature development, collaborating with cross-functional teams, determining technical requirements, and promoting innovation. Key responsibilities include hands-on AI/ML experience, driving AI adoption beyond a single team, establishing success metrics, and contributing to governance practices for safe and scalable AI usage.

Senior Software Development Engineer to join the Adobe Agent Orchestrator Platform team in Bucharest. The role focuses on engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments for agentic AI systems. Responsibilities include designing and developing the next generation of the platform, architecting agent coordination systems, and innovating in agent orchestration and distributed coordination.

Data Analyst for Adobe's Identity and Administration team, focusing on customer analytics, business decision-making, and growth testing. Responsibilities include leading strategic analytics projects, understanding customer behavior through data, developing analysis frameworks, collaborating with Product teams, designing and analyzing A/B experiments, ensuring analytics measurement, and building dashboards. Requires strong SQL/Hive, Python/R proficiency, and experience with data visualization tools. Experience with ML modeling and data inference is highly desirable.

Senior Software Development Engineer role focused on building and improving the web interface for Adobe Login (Identity Management Services). The role involves developing new features, ensuring high uptime, and integrating AI/ML capabilities like LLMs and generative AI to enhance user experiences. Requires strong Java/Spring, JavaScript/React, and DevOps skills, with familiarity in AI/ML concepts and integrating AI-powered features.

This role is for an AI Software Engineer focused on building and improving the data and service foundations for Adobe's Customer Journey Analytics product. It emphasizes strong engineering fundamentals in distributed systems, backend services, and data platforms, with a pragmatic approach to correctness, performance, reliability, and cost. While not a pure AI research role, it requires comfort using AI-enhanced development tools and applying AI techniques to improve workflows, with a focus on observability and responsible AI principles for AI-assisted features.

Software Development Engineer on the Adobe Experience Manager (AEM) Release Management team. This role focuses on building and owning production-critical systems for the entire AEM release lifecycle, leveraging AI-assisted capabilities for automation, analysis, and decision support in a large-scale, cloud-native enterprise environment. The core expectation is practical, production-grade AI fluency applied with judgment and safeguards.

The AI-Native Sr Data Platform Engineer role at Adobe focuses on advancing the data and service foundations for Adobe Analytics and Customer Journey Analytics. This role is not purely AI or traditional big-data, but emphasizes the quality of platforms supporting AI systems. Responsibilities include building and operating distributed systems, event streaming, data pipelines, and scalable REST services, with a strong focus on integrating AI/ML capabilities, critical thinking about AI observability and failure modes, and adhering to responsible AI principles.

Senior Engineer role focused on building distributed services and event-driven pipelines for real-time customer data processing and secure data collaboration within Adobe's Real-Time CDP. The role emphasizes production ownership, correctness, and customer-centric development, with AI-assisted development tools being a standard part of the workflow. While AI is used as a tool, the core deliverables are the distributed systems and data pipelines, not AI models themselves.

Software Development Engineer role focused on building and maintaining distributed microservices and BigData processing applications for Adobe's Real-Time Customer Data Platform. The role involves using AI tools to enhance engineering efficiency and working with multi-cloud technologies. Requires strong backend software engineering experience and knowledge of JVM languages, microservices, and DevOps principles.

Product Manager for Adobe GenStudio, a generative AI-first product for marketing teams to plan, build, manage, activate, and measure on-brand content. The role involves collaborating with customers and internal teams to define roadmaps, drive strategy, and deliver AI-powered content solutions.

This role is for a Senior Product Manager at Adobe Express, focusing on the Visual Documents agenda. The individual will own and drive the product roadmap, collaborating with engineering and design teams to deliver end-to-end experiences. The role requires significant product management experience, strong analytical and communication skills, and familiarity with creative tools and AI-powered tools and workflows.

Software Development Engineer role focused on building and implementing scalable services for intelligent search and content understanding across Adobe products, leveraging advanced AI technology. The role involves collaborating with ML experts, contributing to platform architecture, analyzing system performance, and participating in agile development. Requires strong programming, distributed systems, and cloud-native development skills, with a requirement for proficiency in AI-assisted development tools.

Senior Fullstack Engineer for Adobe GenStudio, a generative AI product for marketing teams. The role involves defining, implementing, and delivering new features, building engineering designs, sustaining business through monitoring, recommending new technologies, and sharing knowledge. Requires fluency in AI tools and concepts, including prompting and evaluating AI outputs, and applying AI into workflows.

Senior Software Development Engineer focused on Big Data and Spark for Adobe Experience Platform. The role involves developing modern data architectures, Big Data and Lakehouse solutions, and implementing them into production. It blends data infrastructure, AI workflows, and multi-cloud technologies to drive real-time customer intelligence, handling petabytes of data with high fidelity and velocity, and supporting data science and data governance initiatives.

This role is for a Senior Enterprise Architect within Professional Services at Adobe. The primary focus is on guiding clients through digital transformations, building executive confidence, governing design decisions, and ensuring technology choices support long-term value. While the role requires a strong understanding of AI, automation, and emerging agentic models and their implications for enterprise platforms, it is not a hands-on AI/ML development role. The architect will bridge business goals and technical delivery by designing target architectures, planning transitions, and creating decommissioning strategies. The role also involves supporting sales initiatives and coordinating architectural efforts among delivery teams. The company's products, including Adobe Firefly and GenStudio, are powered by AI, indicating AI's integration into their offerings, but the architect's role is to ensure these are effectively implemented within client enterprises.

Senior Software Engineer focused on building and maintaining complex, data-driven user interfaces for Adobe's Real-Time Customer Data Platform (RTCDP) Collaboration. The role involves owning application design, optimizing for quality, scalability, and performance, and innovating to solve complex distributed system challenges. While the core focus is frontend engineering, there's an emphasis on backend awareness, CI/CD, and leveraging AI tools to improve development workflows.

This role is for a Senior Software Development Engineer on the Adobe Experience Platform team. The primary focus is on designing and developing distributed, scalable, highly available services for data centralization, management, and synthesis to power real-time personalized experiences. While the role involves using AI tools for productivity and has experience with Big Data technologies, its core is in backend software engineering for a large-scale data platform, not direct AI/ML model development.

Senior Software Engineer role focused on building modern data architectures and Big Data/Lakehouse solutions for Adobe Experience Platform, driving real-time customer intelligence with a blend of data infrastructure, AI workflows, and multi-cloud technologies. The role emphasizes production delivery, performance optimization, and leveraging AI coding agents.

This role is for a Sr. Data Analyst on the Identity and Administration team at Adobe. The primary focus is on driving data insights for business decision-making, growth testing, and understanding customer behavior through administrative journeys. Responsibilities include leading strategic analytics projects, applying data to understand customer engagement and purchase patterns, developing analysis frameworks, collaborating with product teams, designing and analyzing A/B experiments, partnering with enablement and development teams for measurement, and building dashboards. While experience with predictive models and ML modeling is preferred, the core function is data analysis and insights, not direct AI/ML model development or deployment.

Customer Success Engineer responsible for the partnership between Adobe and strategic clients, driving value realization and return on investment for Adobe Experience Manager (AEM). Focuses on client retention, technical consulting, implementing standard deployment methodologies, managing custom integrations, and providing an outstanding customer experience. Requires experience with cloud hosting (Azure, AWS), Linux, Java systems, and long-term operation of enterprise software.

Software Development Engineer role on the Adobe Fonts and Type team in Bucharest, focusing on developing next-generation tools for typography. The role involves writing high-performance C++ code, contributing to architecture and design, collaborating with cross-functional teams, and mentoring. Requires strong CS fundamentals, C++ expertise, OOP, design patterns, and experience with Agile and testing. Mentions leveraging AI tools to enhance coding efficiency as a skill.

Software Development Engineer role focused on Tier III support for Adobe Commerce customers in EMEA. Responsibilities include diagnosing and resolving complex technical issues, collaborating with stakeholders, mentoring junior members, and exploring automation to improve quality and prevent problems. Requires a Computer Science or Engineering degree, strong problem-solving skills, and experience in Agile/Kanban environments.

Recruitment role focused on specialized technical roles, including AI/ML, Cloud Infrastructure, Security, and Backend Engineering. The role involves end-to-end recruitment, building talent pipelines, advising leadership on talent decisions, and using AI-enabled sourcing tools.

This role is for a Compensation Analyst within Adobe's EMEA Employee Experience team. The primary focus is on delivering and managing compensation solutions, including base pay, incentives, and market analysis, while ensuring alignment with regional practices and regulatory requirements. The role involves partnering with various HR functions and business leaders to build understanding and provide guidance on compensation programs.

This role focuses on enhancing product security within Adobe by conducting security assessments, threat modeling, and code reviews, and by providing security recommendations and education to product engineering teams. It involves collaborating with various teams to integrate security practices into the development lifecycle and staying updated on security threats and mitigations.

This role focuses on building and maintaining distributed, resilient, scalable, and highly available microservices for Adobe Experience Platform, which handles petabytes of customer data for real-time personalization. The engineer will be responsible for the design, implementation, deployment, and maintenance of these services, with a strong emphasis on quality, security, and cost efficiency. While the platform powers AI-driven experiences, the core role is in data engineering and microservice development, not direct AI/ML model building.

Database Reliability Engineer to join the Developer Platforms team at Adobe, focusing on architecting, building, and operating database systems for customer-facing services. The role involves ensuring high uptime, supporting global distributed multi-cloud environments, improving service resiliency through techniques like chaos engineering and anomaly detection, and automating tasks.

Senior Backend Engineer for Adobe Experience Platform (AEP), a large-scale, real-time customer data platform. The role involves designing and building Java-based backend services and microservices for high-throughput, low-latency data pipelines. Responsibilities include driving technical decisions, improving engineering practices, mentoring, and ensuring operational excellence. The role requires strong experience in Java/Kotlin, distributed systems, cloud infrastructure, and streaming/NoSQL data platforms. Experience with petabyte-scale data processing and SaaS product delivery is highly valued.

Senior Software Development Engineer role focused on building and operating core ingestion, routing, and schema enforcement services for Adobe Experience Platform. The role involves designing and running high-throughput, low-latency systems that process millions of events per second, ensuring reliable delivery, managing backpressure, implementing schema-aware transformations, and maintaining failure isolation in distributed systems. This is a backend-heavy, systems-focused role.

Senior Backend Engineer role focused on designing and building distributed Java-based backend systems, event-driven pipelines (Kafka), and workflow orchestration services for Adobe's Real-Time Customer Data Platform (RTCDP). The role involves full lifecycle ownership, system design, reliability, and observability.

Associate Legal Counsel with 0-2 years PQE to support sales teams in Central and Iberia regions. Responsibilities include drafting and negotiating agreements, providing commercial legal advice, monitoring regulatory developments (especially in technology, AI, IP, and data privacy), driving process improvements, using AI-assisted legal tech tools, and providing internal training. Requires admission to the Bar Association, foundational knowledge in commercial/tech/IP law, business acumen, strong communication skills, and proficiency in English and Romanian.

Senior Software Development Engineer at Adobe Stock, focusing on building scalable, high-performance web experiences and backend services. The role emphasizes end-to-end ownership, collaboration, and engineering excellence, with an expectation to use AI coding assistants as core tools. This is a product-focused engineering role within a mature consumer platform.

Senior Backend Engineer with Java and JVM technologies to build and operate large-scale distributed systems, real-time data pipelines, and cloud-native services for Adobe Experience Cloud products. Focus on high-throughput backend systems, APIs, microservices, event-driven architectures, and data processing pipelines using Kafka and Spark. Requires experience with cloud platforms, Kubernetes, and observability tools.

Senior Software Development Engineer for Adobe Experience Manager (AEM) Cloud Persistence team. Focuses on developing and operating core storage components, scaling the persistence layer, and solving complex distributed systems and scalability challenges. Requires strong Java, JVM, database (SQL/NoSQL), and cloud provider experience.

Legal Counsel role at Adobe focusing on global cybersecurity, data protection laws, SaaS tech, and AI. The role provides strategic and operational legal support for security and technology initiatives, ensuring compliance with evolving regulations and enabling business innovation. Responsibilities include partnering with cross-functional teams, staying updated on legal developments, assisting with incident response programs, conducting privacy assessments, and reviewing/drafting contracts related to data, privacy, and security. The role also involves developing cybersecurity legal training and serving as a point of contact for regulatory engagement.