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.
• Engage in architecture, design, deployment, and optimizations of ML models and systems.

Senior Machine Learning Engineer

Account Executive

• Achieve sales targets through the sale of Adobe’s Digital Marketing product lines
• Build long-term relationships with customers and craft strategic account plans
• Guide and assist customers in achieving a successful start with Adobe and help them expand the value realized from our solution
• Communicate with customers effectively and persuasively to uncover company-viable solutions from their view
• Meet sales quota and run efficient business
• Collaborate to drive consensus and action
• Owner and driver of the territory and account strategy

Enterprise Account Director – HLS

Software Engineer

• Lead the engineering execution of Adobe's Agentic Product — collaborating to define what the agent does, driving the quality of its outputs, and ensuring it ships on a predictable cadence across surfaces.
• Grow and lead the engineering team building Agentic Product capabilities, driving technical strategy, team health, and execution velocity.
• Partner closely with the Agentic Product Management leads to define technical scope, sequence delivery, and translate product strategy into executable engineering plans.
• Lead the design and delivery of agent capabilities spanning in-app creative workflows, multi-step task execution, and context-aware assistance across Adobe's surfaces.
• Establish and maintain the quality bar for agent behavior — what good looks like, how it's measured, and how the team systematically improves it over time.
• Partner across Adobe's platform and infrastructure teams to ensure the Agentic Product is built with appropriate evals, guardrails, data protection, and the reliability expected of a product at Adobe's scale.
• Build and maintain fluency across the emerging agentic standards and model capabilities ecosystem and ensure Adobe's Agentic Product engineering practices evolve with the space.

Director, Engineering – Agentic Product

Human Resources

• Provide timely, organized ER consultation
• Partner closely with leaders to resolve complex people challenges
• Develop practical ER solutions that support business priorities
• Apply excellent judgment and situational awareness to anticipate issues and promote positive employee experiences
• Collaborate alongside leaders to develop ER action plans that reinforce expectations, support accountability, and deliver business aligned outcomes
• Advise leaders through reorganizations by guiding people impacts, role changes, communication approaches, and risk considerations
• Analyze trends in performance, engagement, team dynamics, and workplace behaviors to identify patterns
• Provide empathetic, balanced counsel on wellbeing, leave-related, and sensitive workplace matters

Senior Employee Relations Consultant

Full-stack Engineer

• Own full-stack implementation across Adobe's Agentic Product
• Contribute to the production buildout of the agent
• Drive hands-on implementation of high-leverage components
• Champion the adoption of AI-assisted engineering practices
• Model new workflows where AI is a first-class collaborator
• Contribute to developer experience and tooling
• Help build and maintain evaluation and quality framework for agent behavior
• Partner with Engineering and Product leadership

Senior Full Stack Engineer – Agentic Product

Product Manager

• Define and lead the roadmap for core generative AI capabilities across various customer segments and product areas.
• Work alongside model researchers to guide research direction, set quality benchmarks, and transform early-stage capabilities into market-ready requirements.
• Develop deep customer insights by interpreting needs from creative professionals, creators, and business users into strategic decisions.
• Work together with Adobe product partners to guarantee smooth integration and tangible customer results.
• Build an evidence-based view on quality, cost, and latency, making strategic tradeoff decisions.
• Provide expert feedback on model quality and build scalable evaluation frameworks.
• Analyze the competitive landscape and find opportunities to differentiate.
• Establish feedback loops to ensure customer value is realized.

Principal Product Manager, Research and AI – Foundations

Sales

• Cultivate and secure new lines of business within targeted accounts, focusing on the Adobe Digital Experience solutions.
• Recruit, coach, mentor, manage and lead a diverse world-class team of sales professionals to achieve quarterly sales targets.
• Collaborate across the business to develop the GTM, from the sale of software to services and delivery.
• Sell into multiple levels of an organization, open doors and empower the field team.
• Manage a consultative sales process.
• Develop effective sales strategies, work with solutions consulting teams to deliver compelling product demonstrations, use cases and sales pitches.
• Identify and develop sales enablement opportunities as needed within the field sales team as a whole.
• Cultivate and grow relationships with industry leaders that will lead to sales opportunities and new business.
• Ensure that Sales department operations function smoothly, with the goal of facilitating executed sales and/or closings; operational responsibilities include accurate pipeline reporting and quarterly sales forecasts.

AVP, Enterprise Sales – West

AI Engineer

• Own end-to-end system design and architecture across frontend experiences, AI-powered workflows, and platform integrations with focus on building scalable, extensible, and intelligent creative systems
• Build intelligent creative systems that leverage enterprise brand frameworks, reusable assets, and design systems to power capabilities such as on-brand defaults, reusable creative elements, intelligent template adaptation, and AI-assisted branded content generation
• Develop AI-powered experiences that enhance brand consistency, asset organization, creative collaboration, and reusable content workflows for teams and enterprises
• Rapidly prototype and validate next-generation AI-native creative workflows, collaboration experiences, and intelligent creative tooling
• Explore emerging approaches in agentic systems, multimodal AI, reusable creative intelligence, intelligent template adaptation, and AI-assisted collaboration experiences
• Drive innovation initiatives that help shape the future direction of creative intelligence capabilities within Adobe Express
• Build systems that intelligently retrieve and apply brand assets, reusable creative components, and design systems to maintain consistency across formats, channels, and collaboration surfaces
• Contribute to systems that operationalize brand semantics, design constraints, reusable creative intelligence, and enterprise governance into scalable product capabilities
• Design and integrate LLM-powered and multimodal AI workflows into production-grade systems with strong emphasis on reliability, trust, scalability, and user experience
• Develop evaluation and quality frameworks for AI-powered creative systems including brand compliance, output validation, structured generation, hallucination reduction, and consistency scoring
• Take full ownership of features from technical design and prototyping to implementation, experimentation, deployment, and operational excellence
• Collaborate closely with researchers, engineers, UX designers, and product managers to define and build next-generation AI-assisted creative experiences
• Engage in pair programming and peer reviews while collaborating with fellow engineers across frontend systems, AI workflows, platform integrations, and scalable architecture challenges
• Operate, monitor, and continuously improve the systems you build with strong focus on scalability, observability, security, performance, and enterprise readiness
• Remain deeply customer focused, solving complex creative, branding, and collaboration challenges for enterprise customers at scale.

Senior Applied AI Engineer – Creative Systems, Brand Intelligence

• Define and implement technical strategy for Firefly Foundry
• Set engineering operating model for generative models
• Own unit economics and cost-to-serve for inference
• Define tenancy and data-isolation architecture
• Build and lead a multi-team engineering organization
• Establish engineering bar and talent strategy
• Define multi-year architecture for training and inference at scale
• Represent Adobe in technical customer engagements

Director, ML Engineering

Marketing

• Define a full-funnel marketing strategy with a strong focus on digital channels to drive awareness, engagement, and usage of Adobe tools
• Partner closely with analytics teams to define success metrics (e.g., monthly active use, feature adoption, engagement depth) and continuously optimize performance
• Deploy AI solutions to improve efficiencies within the team and expand digital marketing and intent signals from customer accounts
• Align with Sales and Customer Success to ensure marketing programs support account growth and retention goals
• Lead the development of education-specific use cases that demonstrate real-world value of Adobe tools
• Direct a team of subject matter experts to find, craft, and amplify customer examples and produce high-quality content across formats (case studies, playbooks, tutorials, campaigns)

Director – Education Engagement Marketing

Financial Planning and Analysis

• Drive deep business performance analytics and surface relevant insights, while providing financial modeling, analysis, and recommendations to drive the business forward
• Partner with business leaders and assist in the production of critical metrics to help the business on growth initiatives and ensure the execution against the operating plan
• Influence and align with cross-functional teams to drive short-term and long-term financial planning for the product offerings
• Prepare, consolidate, and contribute to executive presentations, telling the story of business performance and risks & opportunities, and applying high impact visuals with compelling insights
• Lead projects to drive automation and operational improvement, reducing time to deliver, while growing accuracy

Finance Lead

Content Manager

• Manage the complete curriculum approach for Student Learning programs
• Define the structure, order, and scale of learning for students, faculty, and those working in creative, marketing, and business-related areas
• Set the benchmark for video-first learning at Adobe
• Develop and govern curriculum frameworks, editorial standards, and content standards
• Convert the changing AI and Creative Cloud environment into curriculum that keeps learners up to date
• Drive the development of video-based learning by writing and reviewing scripts
• Provide expert-level feedback on pacing, production quality, and learner impact
• Identify, evaluate, and implement workflows that use advanced technology

Principal Content Strategist

• Responsible for planning and execution throughout the lifecycle of product and features development
• Drive the Product vision for next-generation capabilities
• Work with global product, data science and engineering teams to establish requirements
• Drive alignment and communication with partners
• Develop and drive the strategy for defining success criteria
• Ensure compliance with all applicable laws and requirements

Principal Product Manager

Director

• Lead and manage end to end execution of new M&A transactions
• Lead cross-functional teams to deliver on M&A integration activities
• Define integration-related key performance indicators
• Drive technology rationalization and integration decisions
• Support synergy realization tracking

Director, M&A IT Integration

• Responsible for the reliability and operational readiness of the AEM CS Platform
• Improve monitoring systems and drive incident analysis
• Automate operational tasks
• Collaborate with an Agile team to build scalable services