Senior Product Manager, Performance Prediction

Adobe•San Jose, CA

About The Position

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! Senior Product Manager - Predict Performance Location: San Jose, CA Team: Adobe Firefly Enterprise About the Role Adobe is transforming enterprise content supply chains with intelligent brand solutions. These solutions redefine how enterprises develop, govern, and scale content. At the core is Brands, a first-of-its-kind AI system. It codifies brand identity into machine-readable ontologies to ensure brand fidelity and performance across all creative outputs. We're seeking a Senior Product Manager to guide the generation of high-performing variants aligned with brand standards and compliance. The role calls for expertise in conversion funnels, data instrumentation, and analysis to gain actionable insights. This opportunity is ideal for someone passionate about AI, data science, design systems, and enterprise marketing. A strong bias for data-driven decision making, execution, and cross-functional teamwork is essential.

Requirements

5-7+ years of product management experience in analytics and data platforms, demonstrating a successful history of delivering data-driven product results.
Proficiency in analytics and experimentation, SQL/BI, product telemetry, cohort analysis, causal inference, experiment development, and readouts.
Experience with data platforms, integrating third-party (Meta, Google, LinkedIn, TikTok) and first-party channel-specific data, and activating insights through campaign lifecycles.
Outstanding communication, storytelling, and cross-functional alignment skills to encourage designers, engineers, and enterprise collaborators.
A builder's approach with curiosity, execution velocity, and empathy for end users.
A mix of IQ and EQ to use data and relationships to get results.

Nice To Haves

BA/BS in Computer Science, Data Science, Engineering, or a related technical field, or equivalent experience.
Experience in performance marketing or measurement, and knowledge of privacy, consent, and brand governance in enterprise contexts.
Experience with creative and marketing content creation platforms as well as content production automation.

Responsibilities

Take ownership of the product vision and strategy for Performance Prediction.
Focus on defining the scope and developing models to forecast performance for creative and marketing content.
Develop and manage the data model and event taxonomy.
Integrate 1P telemetry, 3P signals, and channel-specific data into one source.
Use this for analysis and activation across varied campaigns.
Optimize performance in creative production by defining conditions for template-based smart assembly and instructing Generative AI models to produce high-performing content.
Drive partnerships with tools like Photoshop, Illustrator, and InDesign, and models such as Adobe Firefly and Black Forest Labs.
Collaborate with GenStudio and Firefly teams to align performance prediction with Adobe's broader brand and content supply chain strategy.
Partner with engineering, development, and go-to-market teams to deliver impactful capabilities.
Engage directly with enterprise customers to understand challenges in producing performant content and find opportunities for AI augmentation.
Translate customer insights into actionable requirements that balance creativity, control, and compliance in AI-first content workflows.
Own important measures to monitor business outcomes, acting as the CEO of Performance Prediction.
Define and strictly track progress against business goals and key results.