Salesforce Marketing Cloud Platform Developer
About The Position
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. The Salesforce Marketing Cloud Platform Developer will be asked to help create solutions and solve critical business needs that involves: Salesforce Marketing Cloud, Salesforce.com, AI, Agile tools (Atlassian suite), CI/CD and DevOps utilities. She/he will develop and implement strategies to maintain and improve internal functionality, enhance performance with internal and external systems. She/he will be responsible for technical planning, system design, integration decisions and software installation.
Requirements
- 5 years of relevant technical experience.
- Experience designing, building, and deploying production-ready solutions directly with business stakeholders or customer teams.
- Hands-on development experience with APIs, data integrations, SQL, scripting, and cloud-based enterprise platforms.
- Hands-on Salesforce Marketing Cloud experience, including Email Studio, Journey Builder, Automation Studio, Contact Builder, CloudPages, and Mobile Studio where applicable.
- Proficiency with HTML, CSS, JavaScript, SQL, AMPscript, and Server-Side JavaScript to support dynamic content, personalization, segmentation, and reusable campaign components.
- Experience building and maintaining data extensions, automations, query activities, customer journeys, triggered sends, and scalable audience segmentation logic.
- Understanding of Marketing Cloud Connect, REST/SOAP APIs, SFTP-based data exchange, data model design, and integrations with Salesforce.com or enterprise data platforms.
- Knowledge of data governance, consent management, privacy, email regulatory compliance, GDPR, CPRA, and enterprise security expectations.
- Strong planning, documentation, process-mapping, decision-making, verbal communication, written communication, and attention-to-detail skills.
- Practical understanding of generative AI, large language models, prompt engineering, retrieval-augmented generation, embeddings, vector search, and AI-assisted workflow automation.
- Ability to evaluate AI use cases for feasibility, risk, business value, data readiness, privacy, security, and compliance before implementation.
- Experience applying AI to marketing operations, personalization, content generation support, segmentation insights, campaign optimization, knowledge retrieval, or support automation.
- Familiarity with responsible AI practices, including human review, bias awareness, data minimization, auditability, monitoring, and guardrails for regulated enterprise environments.
Nice To Haves
- Agility Jumps
- Analytical Reasoning
- Coaching
- Human-Computer Interaction (HCI)
- Organizational Knowledge
- Scripting Languages
- Software Architectures
- Software Development Life Cycle (SDLC)
- Software Development Management
- Software Engineering Practices
- Software Quality Assurance (SQA)
- Software Testing
- Technical Writing
- Technologically Savvy
- Time Management
Responsibilities
- Develop and implement strategies to maintain and improve internal functionality.
- Enhance performance with internal and external systems.
- Responsible for technical planning, system design, integration decisions and software installation.
- Translate ambiguous business problems into technical requirements, prototypes, integrations, and scalable implementation plans.
- Troubleshoot in live or high-priority environments, including root-cause analysis, performance tuning, and issue remediation.
- Plan and perform A/B testing, campaign QA, cross-client rendering validation, deliverability checks, and performance optimization.
- Partner with business and technical teams to turn AI opportunities into documented requirements, prototypes, measurable success criteria, and production-ready solutions.
Benefits
- medical
- dental
- vision
- life insurance
- short- and long-term disability
- business accident insurance
- group legal insurance
- consolidated retirement plan (pension)
- savings plan (401(k))
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year (or 56 hours for Washington residents)
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
