Director, Marketing Engineering & Operations

Director Of Marketing Engineering & Operations

Our company is changing the world through digital experiences. We give everyonefrom emerging artists to global brandseverything 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!

The opportunity : We're in search of an imaginative and hands-on leader to build the future of marketing technology and data at scale. As Director of Marketing Engineering & Operations, you'll lead all aspects of a high-impact team propelling innovation across data engineering, business intelligence, and AI / GenAI to enable world-class marketing insight datasets and tools across B2B and B2C segments.

They will lead a team at the data, tech, marketing, and AI nexus, impacting customer experiences and driving business growth. This role is an opportunity to develop modern data infrastructure, deliver innovative AI-powered solutions, and boost marketing performance with strategic insight, smart automation, and scalable technology.

What you need to be successful :

• Manage engineering and BI teams to provide scalable data pipelines, audience segmentation, and advanced analytics.
• Architect and evolve a robust MarTech ecosystem that fuels full-funnel reporting and campaign optimization.
• Drive strategy and execution for AI / GenAI-powered toolsboth customer-facing and internal.
• Guide the technical roadmap, from architecture to execution, ensuring performance, security, and innovation.
• Take charge of the marketing engineering and insights tools strategy for both B2B and B2C business units.
• Collaborate with marketing, product, and data teams to establish common objectives and important metrics customized for each customer segment.
• Advocate for a culture that prioritizes data-driven decision-making throughout the organization.
• Collaborate with product, data science, and business collaborators to align engineering roadmaps with organizational goals.
• Define and drive the technical vision and strategy for data, analytics, and AI / ML platforms.
• Encourage a culture of excellence, continuous learning, and high-impact delivery.

What you'll do :

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 position is $179,300 $354,600 annually. Pay within this range varies by work location and 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.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.