The Adobe Commerce Technical Program Manager leads multi-solution Adobe Experience Cloud programs, coordinating cross-functional teams and ensuring effective delivery management and governance.
Position Overview
We are seeking an experienced Adobe Technical Program Manager to support Adobe and jointly led Adobe–Blue Acorn iCi programs. This role provides delivery leadership across multi-solution Adobe Experience Cloud engagements, ensuring alignment between strategy, architecture, and execution.
You will coordinate cross-functional technical teams, manage program governance, and drive visibility across all solution tracks to ensure that complex Adobe programs run cohesively and predictably.
This position is ideal for someone who thrives in multi-solution, enterprise-scale environments and understands both the technical depth and delivery rigor required for Adobe Experience Cloud programs.
Key Responsibilities
Program Leadership & Delivery Management
- Lead end-to-end delivery across Adobe Experience Cloud programs (AEP, RTCDP, AJO, CJA, AEM Assets, Workfront, Marketo).
- Establish and manage governance frameworks including RAID logs, status reporting, program communications, KPIs, and delivery milestones.
- Align technical dependencies, sprint planning, and program sequencing with Adobe and client stakeholders.
Cross-Functional Facilitation
- Partner closely with Adobe architects, Blue Acorn iCi technical teams, and client teams to ensure seamless collaboration.
- Coordinate solution tracks to guarantee cohesion, visibility, and accountability across engineering, data, UX, and strategy teams.
- Facilitate working sessions, architectural discussions, and integration planning.
Technical & Platform Alignment
- Understand platform-to-platform interactions and help teams navigate technical constraints, data flows, and environment dependencies.
- Guide coordination across dev/QA/stage/prod environments and CI/CD-driven deployment workflows.
- Support programs involving multi-platform integrations, migrations, or modernization of Adobe stacks.
Required Skills & Experience
Adobe Experience Cloud Expertise
Broad fluency across key Adobe platforms, including:
- AEP (Adobe Experience Platform)
- RTCDP (Real-Time Customer Data Platform)
- AJO (Adobe Journey Optimizer)
- CJA (Customer Journey Analytics)
- Adobe Commerce
- AEM Assets
- Workfront
- Marketo Engage
Technical Understanding
- Knowledge of data lifecycle, source systems, identity models, ingestion processes, segmentation logic, and activation workflows.
- Understanding of multi-environment architecture and deployment processes supporting Adobe Experience Cloud programs.
Program Delivery Experience
- Demonstrated success managing large-scale, multi-solution enterprise programs.
- Experience with agile, scaled agile, or CI/CD-enabled delivery models.
- Proven ability to manage complex dependencies, risks, and cross-team integration efforts.
The base salary range for this position is $140,000 – $195,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.
Similar Jobs
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Own product strategy and roadmap for high-priority Coursera and Udemy platform areas, including AI-powered content creation experiences. Lead products from ideation through launch, partner with Engineering, Design, and Data, use customer insights and metrics to guide decisions, and deliver scalable learner and creator experiences. Mentor product peers and contribute to product organization excellence.
Top Skills:
Agentic AiAIConversational AiFigmaGenerative AiJIRA
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
The Chief of Staff supports the Enterprise GM by driving multi-year strategy, cross-functional alignment, resource allocation, operating-model design, governance, and organizational transformation. The role provides executive-level counsel, synthesizes insights across business areas, coordinates strategic initiatives, improves collaboration and operational excellence, and addresses systemic organizational challenges. Success requires influencing senior executives, managing complex stakeholder relationships, and executing company-level change across a global organization.
Top Skills:
SaaS
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Architect scalable data models and ELT pipelines using modern data lake technologies. Build self-service analytics products, establish enterprise data governance and observability standards, and lead data architecture across engineering teams. Partner with data scientists, product engineers, and business stakeholders to improve data literacy, identify root causes, and connect insights to business outcomes. Develop AI-enabled data tools and frameworks while providing technical leadership, mentorship, and direction for analytics engineering practices.
Top Skills:
AirflowAWSClaudeCursorDatabricksDatahubDbtDelta LakeGeminiGreat ExpectationsLookerMonte CarloRedshiftSigmaSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
