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Senior Machine Learning Engineer

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

Adobe Express enables all users, whether individuals or large organizations, to effortlessly produce impressive content. The AI Foundations team constructs a flexible, scalable AI framework that drives creativity at scale in design, imaging, motion, and personalization.

We’re looking for a Lead Engineer to build and implement the AI framework for Adobe Express, merging strong ML skills with proficiency in distributed systems, data architecture, and large-scale service development.

You’ll lead and build systems with intelligent behavior, reasoning workflows, and production-quality ML systems that creators interact with every day. Your work will cut through  layers of the end-to-end foundation that brings Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI to life — spanning model orchestration, inference systems, data pipelines, caching and storage layers, session analytics, and continuous evaluation frameworks.

What You’ll Do

  • Lead development and contribute to building the complete AI stack for Adobe Express — covering Agentic AI, Construct AI, Imaging AI, Motion AI, and Personalization AI.
  • Develop and operationalize end-to-end systems — integrating microservices, data pipelines, LLM orchestration layers, in-house and third-party models, databases, caches, session analytics, and evaluation systems into a cohesive architecture.
  • Develop large-scale data and inference infrastructure to support model training, fine-tuning, evaluation, and deployment — employing Spark, Kafka, Flink, and other distributed frameworks.
  • Develop high-performance runtime services for inference and orchestration with strong observability, fault tolerance, and latency guarantees.
  • Apply strong caching and storage tactics to enhance efficiency and cost-effectiveness for various AI workloads.
  • Lead development of experimentation and evaluation systems, encompassing session-level analytics, feedback loops, and quality metrics that drive continuous improvement.
  • Work closely with applied research, product, and platform teams to implement LLMs and other AI models into customer-facing services.
  • Mentor junior engineers and scale the team to drive collectively the charter of Agentic AI for Adobe Express

What You’ll Bring

  • 8+ years of experience in large-scale distributed systems AI infrastructure, or ML platform engineering.
  • Proven expertise in building and scaling data pipelines, real-time streaming systems, and event-driven architectures (Kafka, Spark, Flink, etc.).
  • Strong background in API development, caching strategies, database development, and performance optimization for large-scale serving systems.
  • Hands-on experience with LLM orchestration frameworks, model routing, and multi-model inference.
  • Proficiency in Python, Java, C++, or Go, with an emphasis on distributed systems, cloud-native deployment, and performance tuning.
  • Familiarity with Agentic AI patterns — reasoning loops, memory persistence, task decomposition, and multi-agent coordination.
  • Strong communication and collaboration skills, with experience influencing cross-functional technical direction.

Preferred Qualifications

  • Bachelor’s or equivalent experience in Computer Science, Data Science, Machine Learning, or a related technical field.
  • Experience building large scale high throughput / low latency applications backed by ML models to build workflows
  • Exposure to Generative AI (LLMs, diffusion, or multimodal architectures).
  • Experience with MLOps pipelines, feature stores, and model registries.

Principal Technical Program Manager, GenAI Foundry

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Adobe seeks a Technical Program Manager to help Firefly and Digital Media Experience achieve strategic objectives by creating new experiences with GenAI, revolutionizing how creative professionals work. In this role, you will be pivotal in helping craft the execution strategy and leading all aspects of Technical Program Management. From handling planning activities to driving process improvements, and communicating vertically and horizontally across the company, the team will rely on you to keep everyone informed. This is a highly cross-functional role with partnerships across various other teams. Your work will have a direct impact on the effectiveness and efficiency of Firefly.

What you will do

  • Work with the cross-functional product, design, and engineering teams in establishing workstreams and operationalizing them for efficiency.
  • Focus on customer-facing AI workflows and enterprise creative transformation, driving initiatives that bring GenAI capabilities directly into creative customer experiences
  • Set schedules and actively manage issues/risks of the programs.
  • Lead end-to-end program management for large-scale cloud migration initiatives.
  • Coordinate cross-functional teams including infrastructure, networking, security, DevOps, product, and finance to ensure seamless execution.
  • Ensure cross-functional alignment across all teams on strategy, plans, and execution.
  • Communicate program status, risks and mitigation plans to executives.
  • Look for chances to improve and streamline processes whenever feasible
  • Manage dependencies across platform services, backend systems, and front-end applications impacted by the cloud migration.
  • Drive special projects or initiatives on behalf of the leadership team.
  • Work closely with SRE/infra teams to plan and monitor production deployments, rollback strategies, and environment readiness.

What you need to succeed

  • 10+ years of experience in Technical Program Management or a related field.
  • BS or MS or equivalent experience in Computer Science or related program.
  • Proven technical leadership and build alignment amongst subject matter experts.
  • Deep understanding of cloud platforms including compute, networking, storage, monitoring, and automation.
  • Experience managing cloud migrations, hybrid environments, or multi-cloud architectures is strongly preferred.
  • Proven success leading large-scale, complex programs involving cross-functional and geographically distributed teams.
  • Strong knowledge of DevOps practices, CI/CD pipelines, infrastructure as code and service reliability.
  • Strong influencing and interpersonal skills, including relationship building and collaboration within diverse, cross-functional teams.
  • Strong technical competence in software/system development methodologies (including Agile)
  • An intrinsic ability to deal with ambiguity and having a flexible and adaptive approach
  • Analytical perspective to problem-solving, attention to detail organizational skills, and a focus on continuous improvement
  • Experience with a Machine Learning, AI, or Consumer company strongly preferred
  • Experience working with large enterprise customers is preferred
  • Desire to help take the GenAI to the next level

Director Software Development

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

The Adobe Express and Engineering Platform organization is dedicated to building innovative products, accelerating release cycles, and ensuring reliability at scale. We are seeking a Director of Engineering to lead multiple teams responsible for our core engineering infrastructure, including Developer Tools, Observability, Delivery Pipelines, Engineering Environments, Automation Frameworks, and End-to-End Customer Journey Testing.

This role requires a proven technology leader who can balance technical depth with discernment, articulating both a clear near-term action plan and a compelling long-term vision. The successful candidate will play a pivotal role in advancing DevOps and SRE practices to drive engineering productivity, while strategically demonstrating AI to unlock efficiencies and innovation across the organization.

What You’ll Do

  • Provide strategic direction and execution for Production delivery, Developer Tools, Observability and associated engineering environments.
  • Embed AI into every facet of the engineering lifecycle, from internal solutions to vendor integrations to elevate efficiency and customer experience.
  • Scale platforms to support millions of users and dozens of tenants, ensuring performance and reliability at enterprise scale.
  • Lead and grow a distributed engineering organization of 50+ professionals.
  • Define and implement the strategy for building a self-service, enterprise-scale reliability platform.
  • Foster a culture of collaboration, experimentation, and rapid iteration across product, engineering, and marketing teams, enabling fast prototyping and innovation with a “fail forward” approach.
  • Establish and enforce standards around frameworks, technologies, and processes to ensure consistency and simplicity across services
  • Define, measure, and continuously improve engineering productivity by setting benchmark critical metrics and SLAs, demonstrating data-driven insights for optimization.

What You’ll Need to Succeed

  • Demonstrated use of AI/ML to enhance engineering productivity and organizational efficiency.
  • Proven leadership in high-growth environments, with experience running enterprise-scale services across private and public cloud platforms.
  • A strong track record of leading large, geo-distributed engineering organizations.
  • Expertise in designing and managing complex development frameworks, deployment tools, test environments, and automation systems.
  • Experience building or demonstrating A/B testing infrastructure and applying SRE operating models.
  • Deep technical expertise with at least one major public cloud (Azure, AWS) and open-source technologies such as Kubernetes, Istio, Prometheus, Elasticsearch, Kafka, and Spark.
  • Strong understanding of deployment systems, CI/CD pipelines, and system configuration.
  • Experience delivering integrated end-to-end systems, including source control, build tools, artifact repositories, deployment, and monitoring.
  • Proficiency in performance engineering and load testing at scale.
  • Ability to define and manage SLAs for production-scale systems, ensuring reliability and data quality across platforms.
  • Proven success in delivering high-impact dashboards, datasets, and visualizations to drive business and product decisions.

Cloud Security Manager

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Our Company 

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity 

We’re looking for a Cloud Security Manager to help enhance our development processes and build cutting edge security tools to improve and scale Adobe’s cloud infrastructure and ensure our security posture.

The role will provide the opportunity to work on a diverse set of projects and will also include development of prototypes and proof-of-concepts. You’ll be working to build and assess tools to cover the newest features from the major cloud service providers.

What You’ll Do

  • Secure our cloud environments in software, process, and infrastructure through building security tools.
  • Develop strategy to resolve security issues through custom-built tooling
  • Assist security engineers with software development best practices
  • Lead efforts to analyze and harden Cloud Security Architecture. Conduct thorough reviews of each cloud environment, including architectures across AWS, Azure, and GCP, focusing on identity and access management (IAM), implementations, network segmentation, data protection controls, and the secure configuration of core services to prevent common and advanced attack vectors.
  • Take the lead in improving cloud-native threat detection.
  • Minimize harmful actions by using native cloud security tools and relevant frameworks.
  • Assess modern cloud workloads. Perform deep-dive security assessments of critical cloud workloads, including Kubernetes clusters (EKS, AKS, GKE), CI/CD pipelines, and serverless applications.
  • Collaborate with teams across the organization to build complex software that interact with multiple systems, processes, and standards
  • Help improve the availability, performance, scalability, and security of Adobe’s security tools.
  • Transition Adobe’s security tooling into an infrastructure-as-code model to scale our cloud security
  • Develop custom cloud security automation. Build custom tools and scripts to automate the continuous discovery of cloud misconfigurations and security gaps.
  • Improve our development workflow by assisting in establishing standards and implementing automation
  • Improve our development pipelines so that we can achieve faster and more reliable deploys
  • Focus on DevSecOps tooling and strategy
  • Secure our cloud environments in software, process, and infrastructure through building security tools.
  • Improve our tools and processes for continuous integration, continuous deployment, automated testing, and release management.

What you need to Succeed

  • Solid understanding of both software development and security best practices
  • Experience leading software development projects
  • Experience with cloud service providers: Microsoft Azure, Amazon AWS, or Google GCP
  • Good understanding of DevSecOps practices
  • Experience building infrastructure with CloudFormation and/or Terraform, as well as experience with scripting languages (e.g. Python, Ruby, Rust, Go)
  • Knowledge of orchestration tools, (e.g. SaltStack, Ansible, Chef, Puppet) and CI/CD infrastructure (e.g. Jenkins)
  • Serve as a hands-on technical contributor to our evolving architecture
  • Understanding of SDLC and how to automate components of SDLC
  • Knowledge of security infrastructure tools and components; network security; operating system fundamentals; etc.
  • Experience writing user documentation
  • Deep understanding technical operations
  • Prior experience working in an agile/agile-like development workflow
  • Success implementing projects that required working with teams across the organization
  • Dependability: Meets commitments, works independently, accepts accountability, handles change, sets personal standards, stays focused under pressure
  • Effective communication skills.
  • Align with Adobe’s values: Genuine, Exceptional, Innovative, and Involved.

Digital Marketing Analyst

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity
At Adobe, we’re committed to helping our customers deliver unparalleled digital experiences and are looking for a passionate individual to accelerate the effectiveness of our digital marketing motion through data, insights, and innovative measurement methods! In the Enterprise Analytics team, we are tasked with optimizing the performance of the Digital Demand Generation activities through proactive analysis, enablement, and measurement innovation. We are passionate about diving deep into data, building reporting solutions and driving insights to help our partners scale efficiently.
The Digital Marketing Analyst will serve as a strategic partner to the Digital Demand Generation organization. This role will drive regular inspection and proactive insights to optimize our owned channel performance and support the efficient expansion of our digital marketing motion.
What You’ll Do

  • Monitor and analyze performance for owned digital channels (e.g., email, webinars) and provide actionable insights to improve engagement and conversion
  • Support analysis of website traffic and conversion trends to inform optimization strategies
  • Contribute to regular performance inspection reviews, investigating strategic shifts and providing recommendations
  • Build and maintain dashboards and reports to track key performance metrics for marketing campaigns and channels.
  • Collaborate with marketing teams to understand business objectives and deliver data-driven recommendations.
  • Support A/B testing and additional optimization experiments to improve campaign effectiveness.
  • Stay informed on digital marketing trends and analytics best practices to continuously improve reporting and insights.

What You Need to Succeed

  • Degree in Marketing, Statistics, Business Administration or other relevant fields
  • 3+ years of experience in a digital marketing analytics role in a B2B environment
  • Deep understanding of digital marketing channels, funnel metrics, A/B testing and other campaign measurement frameworks
  • Familiarity with web analytics tools (e.g., Adobe Analytics, Google Analytics), SQL, and data visualization platforms (e.g., Tableau, Power BI).
  • Ability to communicate insights clearly and collaborate effectively with cross-functional teams
  • Strong analytical and problem-solving skills with attention to detail

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Updated: December 18, 2025 — 10:13 am

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