Senior Creative Technologist

Senior Creative Technologist Description - Job Summary The Senior Creative Technologist will help define how generative AI is used to create high-quality, scalable marketing content within HP's Content Transformation platform. This role sits at the intersection of creative craft, marketing, generative AI, and production systems. The Senior Creative Technologist translates real marketing briefs and creative requirements into repeatable generation approaches across copy, imagery, video, templates, and other content formats. This is not a pure prompt-writing role. The value of this position comes from combining strong creative judgment with a systems mindset: understanding what makes content effective, identifying why AI outputs succeed or fail, and converting those learnings into structured prompts, workflows, constraints, benchmarks, and reusable generation playbooks. The role will work closely with Product Management, Platform Engineering, Adobe, designers, marketers, and other Creative Technologists to continuously improve the quality, consistency, efficiency, and production readiness of content generated through mAIstro. Generative AI tools can create content quickly, but access to models alone does not create production-quality marketing content. HP needs Creative Technologists who can bridge the gap between marketing intent and AI execution. The Senior Creative Technologist helps ensure that generation systems understand: what information is required what good creative looks like how brand and product requirements should influence outputs which elements must remain controlled how outputs should adapt across formats and channels when generation has failed and why how workflows should improve based on real production feedback   The role turns these requirements into repeatable generation systems that can scale across HP products, markets, channels, and content types.

1. Design AI-Enabled Creative Workflows Translate marketing briefs and creative requirements into structured AI-generation workflows. Identify required inputs such as product truth, messaging, audience, market, channel, brand guidance, claims, references, and output specifications. Determine which variables should be generated, inherited, locked, selectable, or editable. Define generation sequences where appropriate, such as copy approval before image, video, or template generation. Design fallback and regeneration logic for incomplete inputs, failed outputs, or model limitations. Partner with Product Management to translate creative requirements into product capabilities and acceptance criteria. Partner with Platform Engineering to ensure creative workflows can be implemented reliably inside mAIstro.   2. Build and Optimize Generation Playbooks Create reusable playbooks for priority content use cases covering: input requirements structured prompts and prompt components reasoning instructions reference assets output specifications brand constraints product-fidelity requirements template-fit rules   3. Develop and Optimize Prompts Across Content Types Create and optimize structured prompts for copy, imagery, video, and multimodal workflows. Improve imagery across composition, focal hierarchy, lighting, realism, perspective, environment, product presentation, color, and usable layout space. Improve video outputs across framing, camera behavior, continuity, movement, pacing, environment, lighting, storytelling, and product integrity. Develop negative constraints and corrective prompting strategies for common generation failures.   4. Establish Creative Quality Standards Define what good means for AI-generated content in collaboration with creative, brand, product, and marketing stakeholders. Create objective evaluation criteria and benchmark examples. Classify outputs as ready, refinable, or unsuitable and clearly explain why. Evaluate creative quality using design principles rather than personal preference alone. Define regeneration triggers