Adobe sells creative, publishing and digital marketing software, and its stack shows a heavy agentic-AI build-out: LangChain, Semantic Kernel and AutoGen are being adopted alongside OpenAI, Mistral, Cohere and LLM observability tools like Arize and LangSmith. Hiring skews toward senior engineers, and recurring pain points around AI safety, agent workflows and platform adoption suggest AI is moving from experiments into shipped product.
Notable leadership hires: Strategy Operations Lead, Business Operations Lead, Director of Marketing, Program Lead, Head of Campaign
Adobe is a public software company founded in 1982 and headquartered in San Jose, California, with more than 10,000 employees. Its portfolio spans Creative Cloud tools such as Photoshop and Illustrator, digital publishing, web experience management and online analytics. Customers range from individual creators and students to small businesses, large enterprises and nonprofits. Engineering runs on Python, Java and Scala across AWS, Azure and GCP, with Spark, Flink, Kafka and Snowflake supporting data workloads. The company hires across North America, Europe, the Middle East and Asia.
Adobe uses Python, Java and Scala with Spark, Flink, Kafka, Airflow, Snowflake and PostgreSQL, runs on AWS, Azure and GCP with Docker and Kubernetes, and builds AI with PyTorch, TensorFlow, OpenAI and LangChain.
Adobe is adopting agent frameworks LangChain, Semantic Kernel and AutoGen, plus Azure OpenAI and SAP Business AI, alongside Mistral, Cohere, Arize and LangSmith already in its stack.
Adobe hires in the United States, India, the United Kingdom, Denmark, Germany, Romania, Switzerland, Singapore, Canada, Japan, Sweden, Saudi Arabia, France and China.
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Adobe's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
