Adobe

Full-stack Engineer

• Define, drive and implement a variety of new services and components that will enhance Adobe RTCDP and RTCDP Collaboration like service.
• Mentor junior engineers and create a highly performing team.
• Collaborate closely with other partners like architecture and product management and collaborating teams to ensure transparency at every stage of development.
• Innovate and be curious.
• Open to introduce new technologies and processes.
• Encouraging process improvements.

Senior Software Development Engineer

Technical Account Manager

• Be a central point of contact while ensuring high levels of customer satisfaction
• Maintain regular communication with external and internal teams, managing expectations
• Engage with Director and VP-Level executives to translate business needs into technical and operational plans
• Coordinate and drive efforts to optimise product performance and customer adoption
• Lead and guide customer through complex environment changes and upgrades
• Supervise the management of technical critical issues and customer concerns
• Share proactive notifications and recommendations of upcoming releases and possible impact
• Lead customer check-ins and participate in quarterly business reviews
• Deliver proactive status updates, deliverables and guidelines
• Continually develop both technical and soft skills individually

Financial Planning and Analysis

• Direct and manage the quarterly and annual FP&A planning and forecasting schedules
• Coordinate operational readiness for planning cycles
• Support the successful delivery of business reviews, leadership meetings, and planning checkpoints
• Manage and maintain invitations, collaborator rosters, and protocols for key rhythm of business meetings
• Identify operational gaps, process inefficiencies, and opportunities for workflow automation or simplification

FP&A Operations Manager – Finance

Manager

• Lead and grow a distributed team focused on Generative AI
• Define and execute strategy for acquiring, processing, curating, annotating, versioning, and ensuring quality of large-scale datasets to support diverse customer use cases
• Enable novel capabilities for controllable and precise multi-modal content generation with Generative AI, solving real customer problems
• Build and maintain scalable, efficient data, pre-training, and post-training pipelines across the ML model lifecycle
• Collaborate with researchers, ML engineers, and PMs to align on data, architecture, and control needs for new models
• Evaluate and integrate tools and methodologies to enhance infrastructure and workflows
• Champion data diversity, bias mitigation, and ethical AI practices
• Provide technical leadership and foster a culture of innovation
• Partner across teams to align priorities and share best practices

Senior Manager, Applied Science

Affiliate Manager

• Establish cost benchmarks and 'Should cost' for each turbine platform
• Simplification of service cost performance management reporting
• Dedicated resource to support one plan
• Service cost and backlog management
• Impact assessment through data to CIM provision, CIM spill over cost out or backlog
• Project high-level backlog scenarios to regions, platforms or global highlighting areas to focus

Cost Analytics Partner

Chief of Staff

• Act as a trusted advisor to the CMO by enabling the translation of GMO’s Vision into clear, actionable plans.
• Drive alignment and accountability across the global marketing leadership team to ensure focus on the highest-impact initiatives.
• Partner with the Strategy, Planning & Operations team to optimize marketing’s annual planning process, ensuring tight linkage to business priorities.
• Support the coordination, development, and tracking of OKRs for the CMO and the global marketing organization.
• Support quarterly OKR reviews, ensuring transparency of progress, risks, and dependencies.
• Provide insights and recommendations based on performance data to support informed decision-making.
• Together with the VP of Strategy, Operations & Planning and working in conjunction with HR, support the operating rhythm of the CMO’s office, including leadership team meetings, offsites, and key strategic forums.
• Support clarity of priorities and outcomes for internal and external communications on behalf of the CMO.
• Coordinate briefing materials, agendas, and follow-ups to ensure leadership engagement is efficient and outcomes-driven.
• Partner with senior leaders across marketing, sales, product, finance, HR and other business functions to ensure strategic alignment and operational coordination when needed.
• Together with the VP of Strategy, Operations & Planning, serve as the connective tissue between the CMO, their direct reports, and the broader organization, ensuring consistency of priorities and streamlined decision-making.
• Anticipate organizational needs and proactively remove barriers to execution.
• Manage and execute special projects that require high-level coordination, discretion, and speed.
• Support the CMO in preparing for external engagements, executive reviews, board-level interactions, and key industry events partnering with CoEs as needed (e.g., Communications team).

Senior Director, Chief of Staff, Global Marketing

Sales

• Implement the new ACS vision and business lines with the support of ACS Global Sales team
• Integrate ACS services into the earliest stages of the sales motion
• Partner closely with ACS Account Executives and broader Sales teams to position the new ACS post‑sales portfolio
• Oversee rigorous customer discovery, solution design, and proposal development focused on clear business outcomes (e.g., revenue acceleration, customer experience improvement)
• Grow the services pipeline in line with DX innovation, ACS priorities and pipeline gaps
• Improve proposal win rates across the region
• Lead executive‑level customer engagements and proposal defences for top opportunities
• Align with CXO license Solution Consulting leadership to ensure strategic resourcing for high‑priority deals
• Optimize pre‑sales processes, tools, and ways‑of‑working to increase deal velocity and scale bookings
• Establish a staffing model that ensures the right expertise is deployed at the right time
• Champion innovative methodologies (e.g., robust POVs, Adobe’s Scopezilla scoping tool) to differentiate ACS recommendations
• Partner closely with delivery teams to ensure the accuracy, clarity, and feasibility of pre‑sales scopes
• Provide high‑quality documentation and expectations‑setting to minimize rework and improve customer satisfaction
• Recruit, lead, and develop a high‑performing, diverse EMEA pre‑sales team
• Set clear goals, manage performance rigorously, and reinforce Adobe’s values
• Foster a culture of learning, innovation, collaboration, and strong team engagement

Director, Pre-Sales, Adobe Customer Solutions

Engineering Manager

• Lead the ML/AI squad: hire, mentor, and retain senior ML engineers
• Set strategy and one-year objectives for the Experience ML program
• Own end-to-end execution for ML systems powering GenAI Experiences
• Operationalize ML Execution and Quality Standards
• Communicate with senior leadership to drive alignment on workstreams

Senior ML/AI Engineering Manager, GenAI Experiences

Frontend Engineer

• Build our flagship web product by creating fluid interfaces that perform at massive scale
• Shape, prototype, demo and ship new features with members on your squad from design, product, user insights, QA, backend as well as other frontend engineers
• Receive and offer technical feedback through pair programming and code reviews
• Promote engineering excellence with a focus on performance, scalability, privacy, and security
• Participate in our On Call and Triage rotation to keep our service running smoothly for our customers
• Receive close guidance and mentorship from our engineering managers and leads

Senior Frontend Engineer

• Guide customers through onboarding and implementation by coordinating with delivery teams.
• Drive adoption, overall health, value realization, and renewal readiness, serving as the primary point of contact.
• Build trust and develop strong, multi-threaded relationships across business and technical stakeholders to drive mutual value.
• Knowledgeable of key product use cases and expected outcomes —to guide customers toward best-practice adoption.
• Proactively maintain an accurate rolling 4-quarter outlook of attrition forecast and maniacally manage customer health.
• Actively engage with customers to calculate ROI derived from Adobe solutions (Productivity and Business Value).
• Identify expansion opportunities through product-usage insights, evolving customer needs, and cross-sell alignment.

Enterprise Solutions Account Manager

Security Engineer

• Secure our cloud environments in software, process, and infrastructure through operating and building security tools.
• Develop strategy to resolve security issues through commercial and custom-built tooling.
• Assist security engineers with operational and software development standard processes.
• Lead efforts to analyze and harden Adobe’s cloud 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.
• Improve 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 interacts 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.

Manager, Cloud Security

AI Engineer

• Lead, mentor, and inspire a team of Forward Deployed AI Engineers
• Recruit, coach, and empower a high-performing team
• Sponsor and engage directly in strategic customer programs
• Define and enforce engineering standards across pods
• Stay at the forefront of generative AI and creative automation
• Foster internal knowledge sharing and represent team in various forums

Senior Manager, Forward Deployed AI Engineer

Product Manager

• Develop and communicate a clear product strategy that aligns with Adobe's goals and objectives.
• Build and maintain a product roadmap that outlines the product's development journey and milestones from conception to launch.
• Lead and encourage cross-functional teams, including machine learning scientists, engineers, designers, and marketers, to build high-quality solutions.
• Conduct market research and analysis to find opportunities, trends, and customer needs.
• Talk with customers on an ongoing basis to maintain a deep understanding of their needs and preferences.
• Become an expert in generative AI, machine learning, computer vision, and natural language processing (NLP).
• Drive decision-making by presenting concepts, insights, and key findings to executives and leaders.

Senior Product Manager – AI Innovation

Product Marketing

• Identify operational improvements and implement strategies for efficiency
• Optimize sales processes and tooling for global adoption
• Act as point of contact for global management processes
• Collaborate with offshore Operations teams for alignment
• Build effective teams with project partners in various regions
• Lead multiple projects prioritizing effectively

GTM Operations Manager

Machine Learning Engineer

• Build and ship ML-driven capabilities
• Design and architect ML systems
• Work with user-centric data
• Apply and evolve non-GenAI techniques
• Develop agentic and reasoning-based systems
• Partner closely with UI engineers, designers, product managers
• Define and own evaluation frameworks
• Drive system reliability, scalability, and performance
• Serve as a senior technical leader and mentor