Category Analytics and AI Strategy Lead
Adobe · San Jose, CA · Engineering and Product
About this role
Adobe is hiring a senior-level Analytics Engineer in the data engineering function based in San Jose, CA. The posting calls out experience with Express, LLMs, Data Analytics. Compensation is listed at $133,100–$236,400 per year.
- Role
- Analytics Engineer
- Function
- data engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Engineering and Product
- Posted
- May 5, 2026
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Job description
from Adobe careersThe Opportunity
The Category Analytics and Strategy team focuses on developing a deep understanding marketing impact on customer journey from early awareness to purchase. This position will analyze demand for Adobe's flagship products including Firefly, Photoshop and Premiere Pro and partner with product marketing, go-to-market, and other corporate functions to action cross-channel marketing initiatives that stem from that analysis. The team maintains a visible role in shaping strategic marketing priorities and influencing investment decisions to better serve customers and prospects through their digital journey.
What you'll do
In this highly visible role, you will help strategize and implement full funnel marketing motions and measurement across marketing channels. This role will work closely with cross-functional teams to:
- Measure category demand to understand market trends related to our products and identify marketing opportunities through internal and external datasets
- Evaluate early signals of upper and mid-funnel marketing to infer downstream impacts
- Establish quarterly targets for critical metrics and communicate the evolution of campaign performance and customer journeys
- Build innovative solutions and frameworks to augment the influence of marketing on product growth motions.
- Work with paid media, PMM, GTM, brand science, and adobe.com teams to drive performance narratives on a weekly level.
- Partner with cross-category teams in driving standard processes and improvements in internal analytics tools.