Sobre

MINIMUM QUALIFICATIONS

• * Bachelor's degree in Computer Science, Management Information Systems, or
• other technical field, or equivalent practical experience.

• * 4 years of experience in application software development.
• * 1 year of experience architecting and implementing full-stack enterprise
• applications.
• * Experience developing enterprise-grade back-end code in Python.

PREFERRED QUALIFICATIONS

• * Master's degree in Computer Science, MIS or related technical field or
• equivalent practical experience.

• * Experience engaging with non-technical stakeholders, facilitating
• requirements discussions, providing technical guidance, navigating ambiguity,
• and driving cross-functional alignment within a large organization.
• * Experience with implementing front-end technologies and frameworks, including
• HTML/CSS, Javascript/Typescript, Angular, and Material Design.
• * Experience architecting back-end infrastructure utilizing Google Cloud,
• Vertex AI, and Google AI models (e.g., Gemini, Imagen).
• * Passion for emerging technology including AI, attention to detail and a drive
• to build the best systems possible.

ABOUT THE JOB

• In this role, you will be tasked with transforming the way we execute marketing
• campaigns by designing, building, integrating, testing, deploying, and
• maintaining first-party and third-party, AI-powered web applications. You will
• collaborate with marketers to identify their pain points, align on requirements,
• and implement AI-powered, first-party and third-party solutions to address these
• issues.

• You will be user-centric, with the ability to consolidate requirements and
• feedback, while representing the marketer in technical decisions. You will
• distill requirements into a strategy, road map, and technical solution that
• drives business results. You can communicate technical concepts in an effective
• manner with non-technical audiences. You will be technical, including
• participating in the architecture of solutions, writing code, designing and
• implementing data storage solutions, integrating platforms, and enabling
• full-stack, AI-powered applications.

RESPONSIBILITIES

• * Write modular, well-structured, and self-sustaining codes, and develop
• overall systems design, research, and evaluate vendor supplied applications,
• and develop recommendations on those applications.
• * Build internal solutions, with custom front-end and back-end services with
• minimal assistance, and identify processes and solutions to ensure controls
• compliance can be enforced and monitored.
• * Help design, build, and deploy AI-powered applications using Google Cloud,
• integrate third-party technology, test solutions, and deploy applications.
• * Own the due-diligence launch approvals for AI-powered marketing technology
• solutions, including collaboration with Security, Finance, Legal, and Risk
• and Compliance stakeholders.