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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining low-code and API-driven marketing automation workflows, with strong capabilities in software development and API integration. Proficient in collaborating across teams to engineer automated marketing operations solutions while ensuring technical quality and compliance.
Highest-signal resume keywords
Low-Code Automation DevelopmentAPI IntegrationPython ProgrammingGoogle Gemini AI FrameworksMarketing Technology Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentAPI IntegrationLow-Code AutomationPythonJavaScript/Apps ScriptREST APIsData Pipeline DevelopmentBug CategorizationRoot-Cause AnalysisTechnical Quality Compliance
Soft Skills
Effective CommunicationProblem-SolvingOrganizationAttention to DetailInfluence
Tools & Technologies
Workspace StudioAI StudioStitchGoogle FlowBugAIBuganizerMoma Search AI AnswersCode Search Chat & AgentCode Review AgentNotebookLM
Industry Keywords
Marketing AutomationConsumer Electronics MarketingAgency/Vendor Access GovernanceComplex Technology OrganizationMatrixed Organization
Tech Stack
Tools & technologiesJavaScriptPython
About the role
Key responsibilities & impact- Develop, deploy, and maintain custom low-code and API-driven marketing automation workflows using Workspace Studio and AI Studio
- Integrate creative and media asset pipelines using Stitch, Google Flow / Flow Tools, Botz, and Pomelli
- Consolidate campaign strategy documents and synthesize marketing research using NotebookLM and the LLM Extension in Chrome
- Automate bug categorization, execution-log analysis, root-cause analysis, and routing of marketing dependencies using BugAI and Buganizer tools
- Maintain internal automation scripts, monitor CL velocity, and ensure technical quality compliance using Code Search Chat & Agent and Code Review Agent in Critique
- Build and query internal knowledge repositories, operational guidelines, and launch FAQs using Moma Search AI Answers and Moma AI
- Generate automated project status walkthroughs and video presentations for executive reviews and cross-functional alignment
- Collaborate with Program Managers on agency and vendor access requests and policy approvals for developer and AI tooling
- Partner with the client AI Solutions Lead to engineer automated end-to-end marketing operations solutions
- Collaborate with Product Marketing, Brand Marketing, Global Creative, Global Production, 3P, 1P, Social Activations, Media Lab, and Strategy & Operations teams
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or equivalent practical experience
- 1–2+ years of experience in software development, API integration, or marketing technology engineering
- 1+ years of experience working within a complex, large technology organization
- Hands-on programming experience with Python, JavaScript/Apps Script, REST APIs, or low-code automation tools such as Workspace Studio
- Effective written and oral communication capabilities
- Prior experience in consumer electronics marketing ecosystems preferred
- Experience with Google Gemini AI frameworks and productivity tools preferred
- Experience building scalable API connectors, webhooks, and data pipelines preferred
- Experience with LLM/Gemini APIs, structured JSON outputs, prompt chains, and agentic/tool-use architectures preferred
- Understanding of agency/vendor access governance structures and policy workflows preferred
- Ability to balance strategic thinking with technical execution
- Strong problem-solving, organization, attention to detail, and confidentiality
- Ability to work in ambiguous environments and manage multiple technical projects
- Ability to establish rapport, credibility, influence, and drive results in a matrixed organization
Benefits
Comp & perks- Remote work arrangement
- Opportunity to work on high-priority AI and hardware marketing initiatives
- Collaboration with global, regional, and local marketing teams
- Access to internal AI ecosystem and developer tooling
- Exposure to global projects across US, Canada, EMEA, and APAC
