Sr. Manager, Data Engineering
Adobe · Posted Oct 11
Creative software, document productivity, and digital marketing solutions
Get a personal compatibility score
Add a resume for personal matches
About the role
The team is a blended AI engineering organization building Adobe's agentic AI platform along with the marketing solutions that run on top of it, spanning platform engineers, applied-AI solutions builders, and data engineering. The work covers LLM orchestration, retrieval/RAG pipelines, tool and MCP integration, model routing, evaluation, and cloud-native deploys, applied to marketing and analytics use cases. This role leads the team as a delivery leader, owning the roadmap, execution, and quality bar while hardening the agentic infrastructure and turning it into reliable production systems.
What you will do
- Own delivery and reliability of the agentic AI platform: LLM orchestration, retrieval/RAG pipelines, tool and MCP integration, model routing, and evaluation.
- Drive engineering quality — test discipline, deployment safety, observability, cost and latency management — across everything the team ships.
- Set technical direction with your senior engineers; make the hard architecture calls and unblock the team (design-level involvement; not expected to write production code day-to-day).
- Lead the team that builds AI agents and workflows for marketing use cases (analytics, paid media, content-to-intent, executive reporting) on top of the platform.
- Ensure solutions are grounded in real business outcomes and adopted by stakeholders — not demos that stall.
- Balance platform investment against solution delivery so both advance.
- Manage, coach, and grow a blended team; run hiring to build out the function.
- Own the roadmap and quarterly planning; convert ambiguous priorities into committed, sequenced delivery.
- Represent the team's work to leadership and cross-functional partners; drive alignment across a globally distributed AI organization.
Skills used in this role
What the employer is looking for
- ~12+ years in software / AI/ML engineering, with 4+ years managing engineering teams (including hiring and growing engineers).
- Demonstrated depth in agentic AI / LLM systems — orchestration, retrieval/RAG, tool use, agent frameworks, and evaluation of AI quality.
- Track record of shipping production AI/ML systems at scale — reliability, deployment safety, cost/latency awareness — not just prototypes.
- Strong Python and modern cloud-native / containerized delivery.
- Ability to set a high engineering bar and make sound architecture decisions while leading primarily through the team.
- Excellent communication and stakeholder management across a globally distributed organization.
Preferred qualifications
- Marketing technology or analytics domain experience — AEP / AJO / CJA, adtech, or digital marketing analytics.
- Experience with Databricks, vector databases (pgvector), graph stores (Neo4j), or similar data/AI infrastructure.
- Hands-on with agent/LLM frameworks and MCP, prompt/eval tooling, and LLM cost governance.
- Experience standing up or scaling a new AI engineering function.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Adobe
Adobe Inc. is a global software company widely known for its creative, publishing, and document productivity tools, including Photoshop, Illustrator, Premiere Pro, and Acrobat. The company operates major cloud platforms—Creative Cloud, Document Cloud, and Experience Cloud—serving individual creators, small businesses, and large enterprises worldwide. Adobe has increasingly integrated powerful generative AI capabilities like Adobe Firefly and Acrobat AI Assistant into its product ecosystem.
- Industry
- Software
- Company size
- 31360+ employees
- Founded
- 1982-12-01
- Location
- San Jose, California, USA
- Funding stage
- Public Company
Funding
Public Company
- 1985-01-01Series A
Leadership
Chair and Chief Executive Officer
Steven Day
Interim Chief Financial Officer
President, Creativity and Productivity Business
President, Customer Experience Orchestration Business
Chief People Officer and Executive Vice President, Employee Experience
Recent coverage
TIME
America's Best Companies of 2026July 09, 2026
Forbes
World's Best Employers 20262026