Currently tracking 206 active AI roles, with 444 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $224k).
| Title | Stage | AI score |
|---|---|---|
| Senior Fullstack Engineer - GenStudio 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. | Ship | 5 |
| Product Marketing Manager and GenAI Strategist Product Marketing Manager and GenAI Strategist at Adobe, focusing on customer-facing initiatives for Generative AI products. Responsibilities include leading AI pilot engagements, gathering customer feedback, influencing product roadmaps, and developing go-to-market strategies and enablement resources for sales teams. The role requires strong technical competence and experience in enterprise SaaS product marketing. |
| 5 |
| Sr Product Design Manager, Document Cloud Mobile Product Design Manager for Adobe Document Cloud Mobile, focusing on leading design teams, user-centered experiences, and the application of AI tools in the design process. The role involves strategic partnerships, driving outcomes, and mentoring designers. | — | 5 |
| Enterprise Architect - Retail Martech Enterprise Architect for Adobe's retail Martech pre-sales team, focusing on driving sales and customer success by designing future-state marketing architectures and showcasing 'Art of the Possible' experiences. The role involves assessing current-state technology, managing digital engagement roadmaps, and supporting AI adoption in marketing use cases. | — | 5 |
| Software Development Engineer Software Development Engineer role focused on building and optimizing high-performance, low-latency distributed services for real-time segment query evaluation at scale within Adobe Experience Platform. The role involves implementing features, investigating system performance, writing Java/Scala code, and deploying production services, with a mention of heavily using AI to increase efficiency. | — | 5 |
| Senior Product Marketing Manager and GTM Execution Product Marketing Manager for Adobe's GenStudio for Performance Marketing, a generative AI product aimed at marketing and creative teams. The role focuses on go-to-market initiatives, sales enablement, and driving sales targets through multi-touch marketing activations. | — | 5 |
| Senior Product Manager (Firefly) Senior Product Manager for Adobe Firefly's platform, focusing on integrating third-party AI models. This role owns the platform's reliability, scale, capacity management, metering, access controls, and security. It requires deep technical understanding of APIs, infrastructure, and operational excellence to manage external model providers and ensure seamless integration into Adobe's creative workflows. | Serve | 5 |
| Senior Data Scientist, Product Analytics Senior Data Scientist at Adobe focused on product analytics, data architecture, and applying predictive modeling/ML to enhance customer experiences. The role involves partnering with product and engineering teams, analyzing usage patterns, automating data pipelines, building dashboards, driving experimentation, and implementing recommendation models. Requires strong SQL, experimentation, and statistical skills. | — | 5 |
| Customer Enablement & Engagement Manager This role focuses on developing and managing AI-powered customer programs to accelerate activation, deepen adoption, and support retention within an enterprise context. The individual will leverage AI to identify customer needs and drive program improvements, collaborating with various internal teams and acting as a bridge between customer feedback and product roadmaps. While the role utilizes AI for insights, it does not involve building or shipping AI models directly. | — | 5 |
| Site Reliability Engineer 5 Site Reliability Engineer 5 at Adobe, focusing on the Adobe Pass authentication platform. The role involves defining and driving long-term reliability and scalability strategies, architecting large-scale distributed systems, building automation frameworks, and introducing AI/ML-based predictive monitoring. Key responsibilities include incident response, performance tuning, capacity engineering, and cross-team leadership and mentorship. Requires 12+ years of experience in SRE or distributed systems operations, with expertise in cloud-native environments, Kubernetes, IaC, CI/CD, observability, and networking. | — | 5 |
| Sr. Product Designer, Stock Senior Product Designer for Adobe Stock, focusing on integrating Generative AI tools and defining frameworks for how the service interacts with creative tools across the Adobe ecosystem. The role involves designing user experiences enhanced by ML and generative AI, creating interaction frameworks for multi-step AI workflows, and rapid prototyping with LLMs and agent frameworks. | Agent | 5 |
| Senior Software Engineer Senior Software Engineer at Adobe to take technical ownership of a core product area, focusing on designing complex, customer-facing systems. The role involves technical leadership, mentorship, and collaboration to deliver secure, reliable software. Experience applying AI/ML in real products and guiding teams in responsible AI adoption is required. | Ship | 5 |
| Solutions Enablement Manager This role focuses on enabling sales teams to articulate the value of Adobe's AI-powered creativity and productivity solutions to enterprise customers. It involves developing training programs, content, and collateral, and gathering field feedback to inform product roadmaps. While the role is within an AI-focused company and requires understanding AI's role in enterprise workflows, the core responsibilities are in sales enablement and product marketing, not direct AI/ML development or research. | — | 5 |
| Technical Solutions Enablement Manager This role focuses on enabling technical sales teams by developing and delivering training programs, technical content, and sales collateral related to Adobe's creativity and productivity solutions, with a strong understanding of AI's role in enterprise workflows. The primary output is enablement materials for sales teams, contributing to the successful adoption and positioning of AI-enhanced products. | — | 5 |
| Sr Staff Product Designer, Monetization Growth This role is for a Sr Staff Product Designer focused on shaping monetization and growth experiences for Adobe's creative and generative AI capabilities. The designer will work on in-app commerce, subscription management, and monetizing AI features, translating product innovation into scalable business models. The role involves defining interaction patterns for monetizing generative AI, collaborating with product managers and engineers to prototype and refine new experiences, and exploring new ways for users to engage with AI-powered capabilities. The ideal candidate has extensive experience in designing growth or monetization experiences within large-scale product ecosystems and a strong design craft with a systems mentality. | — | 5 |
| Senior Director, Enterprise Strategy & Integrated GTM This role defines and drives Adobe's go-to-market strategy for its enterprise business, focusing on integrated sales motions and strategic initiatives. It involves aligning cross-functional teams, exploring new technologies like AI to improve products and services, and monitoring the effectiveness of GTM strategies. The role requires deep familiarity with enterprise buying centers and their adoption of AI platforms, with a focus on scaling AI-driven solutions and customer value. | — | 5 |
| Full-Stack Engineer, Enterprise GenAI Full-Stack Engineer role focused on integrating AI capabilities into Adobe Experience Cloud products. The role involves building scalable, production-ready experiences by combining UI expertise with full-stack engineering skills, working with AI APIs, prompt engineering, and orchestration layers. | Agent | 5 |
| Product Designer, Document Cloud GenAI Product Designer for Adobe's Document Cloud GenAI team, focusing on user experiences for AI-powered features within products like Acrobat, Sign, and Scan. The role involves designing user-centric experiences, collaborating with cross-functional teams, and delivering well-defined design specifications for AI features. | — | 5 |
| Data engineer Data Engineer at Adobe in Bangalore, focusing on designing, developing, and deploying data systems and pipelines, including those for LLM workflows. The role involves architecting data models, partnering with cross-functional teams, and ensuring data quality and integration with ML models. | Data | 5 |
| Senior Software Engineer 4, Generative AI - Adobe Experience Platform Senior Software Engineer to build the platform powering Adobe Experience Platform's Generative AI capabilities, focusing on scalable, highly available services, monitoring, and infrastructure in public clouds. The role involves designing and implementing functionality across services, with a 'good to have' for Generative AI and ML infrastructure experience. | Serve | 5 |
| Senior Data Scientist Senior Data Scientist role focused on driving product-led growth for Adobe Express, understanding customer lifecycle, and influencing monetization strategy through data analysis and A/B experiments. | — | 5 |
| Senior Full-Stack Engineer, Enterprise GenAI Senior Full-Stack Engineer to build AI-first products, integrating AI systems into scalable experiences. Combines UI expertise with full-stack skills, working with AI APIs, prompt engineering, and orchestration layers. Collaborates with AI/ML specialists to prototype and launch features. | Agent | 5 |
| Sr Software Engineer, Enterprise GenAI Senior Software Engineer for Adobe Firefly's GenAI client platform, focusing on backend services, APIs, and data pipelines. The role involves establishing architecture and quality coding practices, defining long-term solutions, and working closely with product and design teams to translate ideas into interactive prototypes. Experience with ML Ops workflows and generative AI models is a plus. | Serve | 5 |
| Data Scientist Data Scientist role at Adobe focused on driving the Document Cloud business by applying quantitative analysis and machine learning techniques to understand customer behavior, identify business opportunities, and inform product roadmaps. The role involves working with business leads to influence decisions through data-driven storytelling and building data science models for scalable business solutions. | — | 5 |
| Senior Data Engineer - Data Products & AI Senior Data Engineer focused on building data products for AI consumption, architecting scalable data pipelines, and developing AI agents and automation solutions using modern data platforms and AI tools. | Agent | 5 |
| Lead Machine Learning Engineer, Marketing Mix Modeling Lead Machine Learning Engineer role focused on designing, developing, and deploying advanced causal Marketing Mix Models (MMM) for Adobe's global marketing budget decisions and business growth insights. The role involves building foundationally solid, frequently refreshed production models, collaborating with cross-functional teams, and measuring marketing ROI. | Ship | 5 |
| Staff Product Designer, Document Cloud GenAI Staff Product Designer for Adobe's Document Cloud Generative AI team, focusing on products like Acrobat, Sign, and Scan. The role involves designing user experiences for AI-powered features, translating complex user needs into practical solutions, and influencing product direction through compelling storytelling and collaboration with product and engineering partners. The ideal candidate will have a strong portfolio, experience with modern design tools, and a proven track record of leading complex projects from concept to execution, with a nice-to-have experience in AI/ML-powered product experiences. | — | 5 |
| Senior Data Scientist Senior Data Scientist role focused on optimizing the Go-To-Market (GTM) strategy for Adobe.com's B2C business. The role involves analyzing customer journeys, driving business performance through data analysis, synthesizing findings for leadership, and improving data architecture. Requires expertise in SQL, Python, and statistical modeling, with a focus on B2C SaaS or e-commerce environments. | — | 5 |
| Software UI Development Engineer - Enterprise GenAI Experience Software UI Development Engineer focused on building next-generation AI Assistant experiences within the Adobe Experience Cloud, integrating AI capabilities into user interfaces using React and TypeScript, and delivering scalable, high-performance web applications. | Ship | 5 |
| Senior Technical Program Manager for GenAI UX | Brand Concierge Senior Technical Program Manager for GenAI UX within the Adobe Experience Data & Journeys Ecosystem, focusing on the AI Assistant in the Adobe Experience Platform. The role involves collaborating with engineering, product, and creative leaders to define strategy, establish protocols, and ensure consistency across development, exploration, engineering, and product management to enhance user experience scalability. Responsibilities include managing coordinated plans, identifying and mitigating risks, and maintaining a deep understanding of solutions and user experience. | — | 5 |
| Senior Data Engineer Senior Data Engineer responsible for developing and maintaining analytics infrastructure, including ETL pipelines and automated data quality tools. Collaborates with product, analytics, and engineering teams to build, construct, and enhance scalable data pipelines and analytic solutions that generate insights into product usage. Focuses on the collection, integration, and transformation of large and varied data sets from multiple platforms to support business intelligence, product development, and strategic decision-making. | — | 5 |
| Senior Digital Consultant - AI Adoption This role focuses on driving the adoption and value realization of AI transformation programs within large enterprises. The Senior Adoption Digital Strategist advises C-suite executives on how AI reshapes operating models, decision-making, governance, and workforce capabilities, translating AI strategy into adoption roadmaps and ensuring responsible, scalable AI integration into daily operations. The role emphasizes change management, operating model design, and executive advisory for AI initiatives. | — | 5 |
| Finance Lead, Firefly Foundry Finance Lead for Adobe's Firefly Foundry (Generative AI) business, focusing on enterprise go-to-market strategy, financial architecture, pricing, and scaling value. This role involves strategic financial planning, investment analysis, and building AI-native financial models for a rapidly growing AI business. | — | 5 |
| Business Architect & AI Evangelist This role focuses on designing and evangelizing AI solutions within Adobe's Employee Platform, driving adoption and literacy of AI tools among internal teams. The Business Architect & AI Evangelist will create architectural blueprints, coach employees on AI capabilities, and identify workflow improvements using AI. The role emphasizes building AI enablers and shaping the AI architecture for internal platforms. | Agent | 5 |
| Senior Engineering Manager, AEM Co-Innovation Engineering Engineering Manager for Adobe Experience Manager (AEM) Co-Innovation Engineering team, focusing on customer-centric and AI-first innovation in enterprise software development. The role involves leading a team to develop innovative product features, build customer relationships, and foster a growth culture, with an emphasis on applying modern AI tools and models. | — | 5 |
| Director, Product Marketing-B2B (Growth & Adoption) Director of Product Marketing for B2B Growth & Adoption at Adobe, focusing on scaling Acrobat as a productivity platform powered by AI. The role involves defining strategy to drive user activation, feature usage, and engagement, translating product value into go-to-market plans, identifying growth opportunities, and tracking performance metrics tied to usage and revenue. This is a leadership role managing a team of Product Marketing leaders. | — | 5 |
| Product Designer, Audiences & Activation Product Designer role focused on integrating AI into enterprise segmentation and personalization products, emphasizing user experience, accessibility, and collaboration with engineering and customers. The role involves building prototypes, testing ML features, and establishing new interaction patterns. | — | 5 |
| Principal Engineering Program Manager - Adobe Acrobat Seeking a Principal Engineering Program Manager to lead the execution strategy and TPM for new GenAI experiences within Adobe Acrobat, transforming creative professional workflows. This role involves cross-functional collaboration, planning, process improvement, and communication to drive program success and enhance team effectiveness. | — | 5 |
| Director, Product Management - Firefly Hub Director of Product Management to lead Firefly Hub, the central growth and onboarding experience for Adobe's Firefly AI creative tools. This role will own the product vision, strategy, and roadmap, driving user discovery, learning, and adoption across web, mobile, and integrated product experiences. The role also manages a team of AI content creators and focuses on translating complex AI capabilities into user-friendly entry points, leveraging experimentation and data-driven decisions. | — | 5 |
| Lead Marketing Data Analyst This role focuses on leveraging data to drive marketing growth and optimize investment. While the role uses AI tools and mentions Gen AI as preferred, its core function is marketing analytics and strategy, not building AI models. | — | 5 |
| Sr Staff Software Development Engineer _ Firefly Boards Seeking a Full stack engineer for Adobe's Firefly Boards team, which is part of a Generative AI organization. The role involves building, scaling, and securing the Firefly Boards product, an AI-powered mood-boarding and ideation app with an infinite canvas. The engineer will contribute to innovative user experiences using multi-modal LLMs, enabling creatives to leverage generative AI. | Ship | 5 |
| Sr Product Mobile Designer, Adobe Firefly Android Product Designer for Adobe Firefly Android, focusing on crafting AI-powered creative experiences for native mobile platforms. The role involves developing intuitive, scalable GenAI tools for Android, working closely with engineers, scientists, and product leaders. | Ship | 5 |
| Principal Product Manager, Brands AI Principal Product Manager for Adobe Firefly Enterprise, focusing on customer adoption and scaling of the Brands AI system within large enterprise organizations. This role involves defining business outcomes, prioritizing use cases, driving workflow integration, leading change management, collaborating on technical deployment, and measuring value. | Ship | 5 |
| Engineering Program Manager Engineering Program Manager at Adobe, focusing on Developer Platforms within the Adobe Unified Platform organization. The role involves leading strategic and operational initiatives, collaborating with Product and Engineering teams, managing schedules, risks, and execution in an agile environment. Requires a strong technical background in cloud computing and experience with Agile methodologies. Familiarity with generative AI, data analysis for AI insights, and evaluating AI outputs is preferred. | — | 5 |
| Senior Software Development Engineer Senior Software Development Engineer for Adobe's Firefly Boards team, a Generative AI organization. The role involves building, scaling, and securing the Firefly Boards product, an AI-powered mood-boarding and ideation app. Responsibilities include contributing to innovative user experiences using multi-modal LLMs and enabling creatives to leverage generative AI. | Ship | 5 |
| Sr Design Program Manager This role focuses on leveraging AI, automation, and LLMs to drive operational excellence within a design organization. The Senior Design Program Manager will partner with design leaders to transform operational challenges into agentic solutions, architecting automated systems to minimize administrative tasks and streamline workflows. The role requires hands-on experience with AI tools, automation, agentic configurations, LLMs, prompt engineering, and API integration using orchestration tools. | Agent | 5 |
| Staff Product Designer, Acrobat Staff Product Designer for Adobe Acrobat's Document Cloud team, focusing on designing next-generation AI-powered experiences, including generative AI and conversational interfaces, to create a unified AI experience for users interacting with documents at a global scale. | — | 5 |
| Senior Observability Developer Senior Developer role focused on building and finding Observability services and tools for Adobe. Responsibilities include crafting new tools, maintaining large-scale logging deployments, and integrating AI agent development and workflows into large-scale deployments. The role requires experience with distributed applications, observability platforms, logging systems, and AI agent development. | AgentServe | 5 |
| Senior Software Development Engineer Senior Software Development Engineer role within Adobe's Experience Platform, focusing on the Query Service engine. The role involves designing, building, and optimizing distributed systems for handling petabytes of data, applying ML techniques for predictive metrics, and potentially integrating LLMs for product intelligence. Requires strong big-data engineering, cloud-based data warehousing, and proficiency in technologies like Apache Spark. | Serve | 5 |
| Senior Product Sales Specialist This role is for a Senior Product Sales Specialist focused on Adobe's enterprise customer experience orchestration tools, including AI-powered solutions like LLM Optimizer and GenStudio. The specialist will act as a deep solution and business value expert, driving deals, articulating value propositions, and collaborating with account teams to ensure customer needs and commercial success are aligned. The role requires strong enterprise SaaS sales experience, the ability to translate technology into business outcomes, and a solid understanding of AI agents and digital experience platforms. | — | 5 |