Director of Software Engineering & Applied AI (Level 6) - Product Success Engineering, Adobe Experience Platform

Adobe Inc.
United States, California, San Jose
345 Park Avenue (Show on map)
Aug 19, 2025
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! About the Role The Adobe Experience Platform (AEP) Product Success Engineering (PSE) team is seeking an innovative Director of Software Engineering & Applied AI to lead the development of AI agents, tooling, and automation to help customers directly support, operate, and scale their end-to-end AEP and Apps implementation. Our team seeks to revolutionize customer support & success through intelligent automation and AI agents across the AEP portfolio. Your work will help fundamentally transform how we serve, support, and accelerate time-to-value for our customers by empowering them directly with engineering best practices. As the engineering leader, you will be responsible for the design and development of Agentic-first solutions that span across core customer success domains: Troubleshooting & Support- Solve AEP customer support issues through intelligent diagnosis, deflection, and resolution systems that leverage AI agents for automated issue diagnosis, intelligent ticket creation/routing, and self-service troubleshooting capabilities Run & Operate- Proactively monitor, remediate, and scale AEP in adherence to implementation best practices to prevent support issues through automated remediation workflows, performance optimization agents, and predictive scaling mechanisms that maintain AEP customer-specific implementation reliability Adoption & Value- Advise, accelerate, and grow AEP customer adoption and value realization through customer journey intelligence systems, use case & feature adoption recommendations, and usage pattern analysis tools In this role, you will collaborate with other members of our multidisciplinary team, including solution architects and data scientists, to build scalable systems that transform and establish our commitment to setting new industry benchmarks for product success engineering while driving measurable business impact and improved customer outcomes. Key Responsibilities Strategic Leadership & Vision Define and execute the technical strategy for AI-powered customer success solutions across Adobe's AEP portfolio, aligning engineering initiatives with business objectives and customer outcomes Lead the design and development of agentic AI systems that autonomously diagnose, prevent, and resolve customer issues while accelerating adoption and value realization Team Management & Organizational Development Build, mentor, and scale a world-class multidisciplinary engineering team of 15-25+ engineers, data scientists, and solution architects, fostering a culture of innovation, customer obsession, and technical excellence Collaborate effectively across multiple vertically aligned engineering teams, product management, UX design, and field organizations to ensure seamless integration of customer success solutions into AEP Product & Technical Execution Oversee the end-to-end development lifecycle of intelligent automation systems, AI agents, and customer intelligence platforms that transform reactive support into proactive, data-driven customer success operations Drive the implementation of customer-facing analytics, predictive insights, and recommendation engines embedded directly into AEP's user experience to enable self-service optimization Customer Success Engineering Innovation Champion the development of scalable automation solutions targeting 85%+ first contact resolution rates, 99.9%+ platform uptime, and measurable customer health score improvements Establish engineering best practices for AI model deployment, system reliability, and operational excellence while ensuring compliance with security, privacy, and regulatory standards Cross-Functional Partnership & Influence Serve as the technical voice of customer success engineering in executive forums, translating complex technical concepts into business impact and strategic initiatives Partner closely with Forward Deployment Engineers, Field Support Consultants, and Customer Success Managers to understand customer challenges and translate them into scalable engineering solutions Required Qualifications Educational Foundation & Core Experience Bachelor's degree in Computer Science, Engineering, or related technical field, with 10+ years of software engineering experience, including 5+ years in engineering leadership roles managing teams of 10+ engineers Demonstrated expertise in Applied AI/ML with 3-5 years of hands-on experience deploying production AI systems, including deep understanding of LLMs, generative AI, prompt engineering, and RAG architectures Technical Leadership & Architecture Proven track record of architecting and delivering large-scale, cloud-native platforms and distributed systems, with expertise in microservices, API design, and enterprise integration patterns Strong background in customer intelligence platforms, analytics systems, and data pipeline architecture, with experience building real-time decision engines and predictive modeling systems Product and growth mindset, with a strong ability to translate customer challenges into scalable, automated solutions that drive adoption and business impact Customer Success & B2B SaaS Expertise Deep understanding of B2B SaaS customer success methodologies, including customer health scoring, churn prediction, adoption analytics, and expansion revenue optimization Experience leading customer-facing engineering teams or technical account management organizations, with demonstrated ability to translate customer feedback into product improvements Leadership & Communication Exceptional communication skills with the ability to influence senior stakeholders, present to executive leadership, and drive alignment across diverse technical and business teams Proven ability to hire, develop, and retain top engineering talent while fostering inclusive, high-performance team cultures focused on customer outcomes Preferred Qualifications Experience embedding self-service BI, AI-powered recommendations, and workflow automation into enterprise SaaS products Knowledge of customer engagement strategies, marketing automation, and digital adoption platforms Expertise in Adobe Experience Platform (AEP) and/or Adobe Experience Platform Developer certifications a plus Why Join Us? Lead the development of cutting-edge AI-powered success enablement solutions that transform how businesses adopt and realize value from AEP Acquire a unique customer-oriented 'end-to-end' horizontal perspective working across and within the entire AEP + Apps portfolio Enable both internal Adobe teams and external customers to deploy high-impact AEP use cases with speed, efficiency, and measurable results Collaborate with industry experts in MarTech, AI-driven personalization, and digital experience analytics Competitive compensation, stock options, and a culture of innovation and inclusion Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $179,300 -- $354,600 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunityemployer. 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