Senior Manager, Employee Productivity

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

Adobe’s Digital Employee Experience team is on a mission to build incredible experiences for customers both internal and external. Through robust and innovative design, detailed and rapid delivery, and industry leading platforms, our mission is to enable, improve and centralize workflows and processes across the enterprise. We strive to deliver the platform that our internal employees can rely on to request services, report issues and act as a motivator to making their experience as an employee fabulous and perform their role with ease. 

The Employee Productivity Manager will provide the organizational vision and execution for Artificial Intelligence adoption in our employee experiences. You will lead from the front as a hands-on subject matter expert, working with you team and the broader organization in architecting and crafting scalable solutions. You will have the opportunity to work on cutting-edge AI technologies and contribute to the development of innovative solutions that solve real-world problems, driving data excellence and reducing cognitive load with the goal of providing a positive employee experience. 

What You’ll Do 

• Develop and execute Search, Knowledge and ServiceNow AI product roadmap, ensuring alignment with the company's overall strategic goals and market demands. 

• Conduct market research and competitive analysis to identify market trends and employee needs, translating them into actionable product requirements. 

• Develop and implement AI governance frameworks and policies. 

• Ensure compliance with ethical and legal standards in AI implementation. 

• Collaborate and define technical requirements and ensure the successful implementation of AI models and algorithms. 

• Create intuitive and user-friendly AI product interfaces. 

• Lead cross-functional teams throughout the product development lifecycle, including planning, prioritization, and delivery. 

• Define and monitor key performance indicators (KPIs) to assess product performance and identify areas for improvement. 

• Gather feedback from customers, internal stakeholders, and industry experts to continuously enhance the AI product offering. 

• Stay up-to-date with the latest AI advancements and industry best practices, incorporating them into the product strategy and roadmap. 

• Oversee model training and optimization 

• Implement AI technologies to improve employee productivity and leverage metrics to support predictions, recommendations, search, and growth strategies 

• Recognize risks / blockers and work energetically to engage with the right partners to identify solutions or workarounds 

• Communicate proactively across teams to assemble requirements and maintain alignment among stakeholders 

• Provide regular status reports to promote clarity and visibility at various levels within the organization, including among senior leaders 

What You Need to Succeed 

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 

• Strong understanding of AI technologies, including machine learning, natural language processing, computer vision, and data analytics. 

• Demonstrated track record of successfully managing the end-to-end product lifecycle, from ideation to launch. 

• Excellent analytical and problem-solving skills, with the ability to interpret complex data and make data-driven decisions. 

• Exceptional communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and influence stakeholders at all levels.