Adobe

Machine Learning Engineer

• Build and optimize infrastructures that power large foundation model training on thousands of GPUs
• Profile GPU utilization, trace inference and training runs and help craft strategies for optimizing ML model latency.
• Architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust.
• Dive deep into data to recommend the right models, evaluation metrics, and governance approaches.
• Engage in architecture, design, deployment, and optimizations of ML models and systems throughout the product lifecycle.

Senior Machine Learning Engineer

Product Designer

• Collaborate with design, product, marketing, engineering, and data teams
• Visualize and implement experience designs from concept to prototypes
• Develop and refine design frameworks and reusable artifacts
• Find opportunities to create simplicity out of complexity

Senior Product Designer, Monetization Platform

Data Scientist

• Lead, mentor, and develop a high-performing team of data scientists
• Drive insights across the full customer journey
• Identify key drivers of customer behavior
• Partner with Marketing, Finance, GTM, Sales, and Product to build strategy
• Lead measurement and experimentation efforts
• Define and track key business metrics

Senior Manager, Digital Customer Journey Data Science

Artificial Intelligence

• Lead and grow a team of applied scientists and engineers working on multimodal data research and generative AI training systems
• Own and evolve key parts of the training and experimentation datasets.
• Partner closely with applied research and engineering teams to support the full lifecycle from experimentation to production
• Drive technical design and architecture decisions for large-scale data pipelines and dataset creation and maintenance.
• Remain hands-on enough to review designs, guide implementation choices, and unblock complex technical issues
• Establish standard processes for system robustness, testing, observability, and reproducibility
• Drive execution against milestones while adapting to changing research and product priorities
• Build a strong team culture focused on ownership, collaboration, and continuous improvement

Manager, Applied Science – Generative AI Data Research

Product Manager

• Lead product growth strategy and execution for Account Management growth initiatives, balancing customer value with monetization impact.
• Drive Add-On and Expansion ARR for Individual customers, with a strong focus on Credits-based and AI monetization models.
• Design and optimize upgrade, switch, and migration journeys to increase conversion, retention, and long-term customer value.
• Build intelligent, agentic experiences that proactively guide customers toward the right plan, add-on, or AI capability based on need and usage.
• Identify friction points across the lifecycle and introduce experimentation-driven improvements to unlock incremental growth.
• Partner cross-functionally with design, engineering, data science, and GTM to ship scalable growth solutions grounded in customer insight.

Senior Product Manager – Growth

• Collaborate with Enterprise teams to establish a vision and guide roadmap creation
• Interact directly with Enterprise customers to grasp workflows
• Collaborate closely with research and engineering to convert innovation into production-ready solutions
• Translate complex technical capabilities into product requirements

Principal Product Manager, Research and AI

Events

• Own the strategy and execution for a portfolio of events across the design and film education ecosystem
• Partner with business leaders and cross-functional teams
• Design experiences that feel premium and purposeful
• Own the event budget across your portfolio
• Lead agencies and production partners with clarity and high standards
• Measure what matters
• Build repeatable playbooks
• Stay close to trends across design and film education

Senior Event Marketing Manager – Design/Film Education

Business Development Rep

• Identify and develop innovative partnerships
• Structure and negotiate deals for meaningful partnerships
• Collaborate with teams to achieve successful results

Senior Business Development Manager

Sales

• Close Sales Deals
• Achieve Quarterly Quotas
• Driving growth through upselling
• Demonstrate Product Expertise
• Consultative Engagement
• Articulate Value Propositions
• Handle Objections
• Competitor Knowledge
• Pipeline Management & Forecasting
• Sales Enablement

Product Sales Specialist

• Single-product deals are owned end-to-end.
• On larger opportunities, the Specialist partners with Account Executives — bringing ROI models, licensing clarity, and competitive positioning.
• Work spans discovery sessions, executive briefings, and demos alongside account planning and pipeline management.
• Connect product capability to measurable outcomes for business and IT stakeholders
• Build ROI models that make the commercial case for Adobe's platform
• Navigate licensing, packaging, and procurement clearly
• Lead negotiations through to close
• Identify whitespace and feed strategy into account planning

Product Sales Specialist – Brand Visibility

Frontend Engineer

• Developing new features, maintaining existing ones, and participating in all phases of the development lifecycle
• Driving a product feature from design inception, development, QA testing then to production
• Designing, architecture & developing applications for reliability, scalability & maintainability
• Writing and testing interactive, clean, secure, and efficient solutions
• Solving non-trivial coding and architecture problems with simple and innovative solutions
• Extending, optimizing, and future-proofing parts of the front-end and back-end stack
• Providing on-call support as needed to ensure system reliability and uptime

Computer Scientist 1 – Frontend

Operations

• Oversee operations at the wind farm, ensuring optimal performance.
• Cultivate a safety-focused environment at the site and promote continuous improvement.
• Establish meaningful connections with clients to meet contractual obligations.
• Facilitate maintenance and support operations to enhance turbine efficiency.
• Manage service contract budgets and costs effectively, reaching specific targets and metrics.

Wind Operations Site Manager

Security Operations

• Hiring, training, scheduling, and evaluating analysts and engineers
• Managing the lifecycle of security incidents
• Developing, implementing, and enforcing security policies
• Selecting, managing, and optimizing security tools
• Providing regular metrics to upper management
• Identifying vulnerabilities and conducting risk assessments

Security Operations Center Manager

Backend Engineer

• Develop and maintain backend services using Python
• Work with AWS Lambda-based APIs and serverless components
• Build and evolve REST APIs and event-driven components
• Work with relational databases (PostgreSQL preferred) and NoSQL datastores
• Ensure code quality, modularity, and maintainability
• Collaborate with frontend teams (Angular 13+) to ensure seamless backend integration
• Contribute to improving reliability and overall stability of backend services
• Apply established design and coding standards, aligning implementations with existing AWS serverless architectural patterns
• Apply best practices in event-driven development using AWS services such as SQS and SNS
• Participate in technical discussions and code reviews
• Identify areas of improvement in codebase and suggest practical refinements
• Work with CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
• Deploy and monitor AWS Lambda services and related infrastructure (API Gateway, IAM, S3)
• Contribute to logging, observability, and performance tuning initiatives
• Participate in analysis and resolution of production issues when required
• Work closely with Product Managers, Architects, and Data Engineering teams on feature design
• Collaborate effectively in a globally distributed team environment

Backend Software Engineer

• Lead technicians, supervisors, and support functions to deliver high‑quality maintenance operations
• Manage operational performance across KPIs: availability, LPF reduction, quality, productivity, and cost control
• Ensure strong customer relationships and meet all contractual obligations
• Drive continuous improvement initiatives across service sites
• Lead planning, scheduling, and resource allocation processes
• Oversee operational budgets, forecasting, and reporting
• Support recruitment, performance management, and employee development
• Collaborate with regional functions (Engineering, Supply Chain, Quality, HSE, Finance)