Jobs at Wizeline

Develop and customize Salesforce CRM applications by gathering requirements, designing and coding solutions, testing functionality, troubleshooting defects, documenting architecture, and maintaining application security. The role requires advanced Salesforce expertise, including Apex, JavaScript, Visualforce, Aura, and Lightning Web Components, along with software development experience and familiarity with Azure DevOps, pipelines, Git, SFDX, and automated testing.

The Marketing Project Manager will oversee literature lifecycle management, coordinate between teams, manage print production, and improve workflow efficiencies. They will also support reporting and logistics.

Develop and maintain Android applications using Kotlin, Jetpack Compose, Clean Architecture, modular design, MVVM/MVI, Firebase, and Dagger Hilt. Build scalable, high-performance user experiences, collaborate with cross-functional teams, review code, troubleshoot issues, optimize applications, and support CI/CD. The role also involves applying Android best practices and potentially using Server-Driven UI and AI tools to improve development workflows.

Design and maintain scalable product design systems, including components, documentation, design tokens, accessibility standards, and reusable patterns. Collaborate with designers and technical teams, manage priorities independently, and communicate design decisions clearly. The role requires advanced Figma expertise and may involve AI tooling, code-connected design systems, versioning workflows, and multi-brand experiences.

Build and maintain scalable design system components, Figma libraries, documentation, design tokens, and variables. Ensure accessibility, theming, multi-brand support, and consistency across product teams. Collaborate with engineering on design-to-code alignment, bridge core and product-area libraries, and independently manage priorities while maintaining high craft standards.

Design, build, optimize, and maintain scalable ETL/ELT data pipelines, integration workflows, data architectures, warehouses, and lakes. Develop advanced SQL and scripts for batch and stream processing across relational and non-relational databases. Ensure data quality, reliability, governance, and security while collaborating with engineers and data consumers. Apply version control and CI/CD practices to support reliable deployment.

Lead end-to-end data science projects, developing predictive and forecasting models using statistical methods, feature engineering, segmentation, clustering, churn prediction, optimization, and NLP. Collaborate with data engineering and MLOps teams on Spark pipelines and Azure Databricks deployment. Present analytical insights to business stakeholders through clear narratives, standardized templates, and actionable recommendations.

Design user-centered experiences for native Android and iOS applications across research, information architecture, wireframing, prototyping, visual design, usability testing, and design systems. Collaborate with product, engineering, QA, marketing, and stakeholders in an Agile/Scrum environment. Create design documentation, validate implementations, advocate for design decisions, and use AI tools to improve research, analysis, ideation, and workflow efficiency.

Creates brand-aligned digital and print assets, including advertisements, email graphics, social media content, presentations, and marketing collateral. Applies brand guidelines, design systems, accessibility standards, and templates to produce high-quality deliverables. Collaborates with creative leads, marketing stakeholders, and offshore teams while managing feedback, high-volume production, tight timelines, and shifting priorities.

Lead end-to-end data science projects, developing predictive, forecasting, segmentation, clustering, churn, optimization, and NLP models. Collaborate with Data Engineering and MLOps teams on Spark pipelines and Azure Databricks deployment. Standardize analytical practices and communicate actionable, data-driven insights to global business stakeholders.

Architects and deploys enterprise-scale machine learning infrastructure, including pipelines, model serving, monitoring, governance, CI/CD, registries, versioning, lineage, and automated retraining. Leads deployment of forecasting, optimization, and NLP models using Azure Databricks, MLflow, Kubernetes, and Docker. Drives MLOps best practices, hybrid or multi-cloud integration, observability, audit compliance, and team mentorship.

Build and scale an AI-powered translation and localization platform using Java and Spring Boot. Develop REST APIs, microservices, and Kafka-driven pipelines; integrate LLMs and machine translation providers; optimize quality, scalability, latency, and cost; and support monitoring, testing, deployments, and production troubleshooting. Collaborate with engineering, product, and business stakeholders to expand multilingual content capabilities.

Build scalable, maintainable frontend applications using React, JavaScript, and Next.js. Develop reusable component libraries and design systems with Storybook and CSS-in-JS, ensuring WCAG 2.1 AA accessibility. Write clean, tested, documented code; optimize performance and cross-browser behavior; and collaborate with Product, Design, Backend, clients, and stakeholders. Work in Agile environments and use AI tooling to improve development workflows.

Develop and guide the architecture of native iOS applications using Swift and SwiftUI. Lead technical discussions, establish software development and testing processes, address technical debt, evaluate frameworks and scalable approaches, and collaborate with product teams on business-aligned solutions. The role also includes mentoring engineers, applying design patterns and API design, using Git and DevOps practices, and exploring AI tooling, cloud services, GraphQL, and Firebase.

Develop and maintain AI-powered web products and platforms using React, Next.js, Node.js, GraphQL, and related technologies. Responsibilities include writing clean, tested, documented code; making architecture and technology-stack decisions; adapting across varied stacks; collaborating with clients and teams; applying web standards, accessibility, and optimization practices; and using AI tools to improve workflows.

Build and deploy production-grade AI tools using LLMs, agentic systems, RAG pipelines, vector databases, and automated evaluation frameworks. Develop flexible AI services and full-stack integrations with Python, TypeScript, and modern frontend frameworks. Take solutions from prototype through production, measure business impact, collaborate with stakeholders, and extend reusable architectures across use cases.

Develop and enhance iOS applications using Swift and SwiftUI while translating business requirements into technical designs. The role involves making technology and infrastructure decisions, documenting architecture, improving team efficiency, mentoring and identifying engineering talent, and collaborating with technical and business stakeholders in English and Spanish. Experience with APIs, third-party libraries, mobile architectures, Git, DevOps, and published iOS apps is required.

Implement and maintain web and mobile analytics tracking architectures, event tagging, and marketing journey tags. Partner with analytics, product, and development teams to define requirements, ensure implementation quality, troubleshoot data integrity issues, maintain Confluence documentation, and perform routine tracking QA. The role requires expertise in analytics platforms, tag management, event streaming, web technologies, marketing technology, customer data platforms, mobile SDKs, and data integration processes.

Implements and maintains analytics tracking architectures across websites and mobile applications. Collaborates with data, product, development, and analytics teams to gather requirements, implement event tracking, conduct QA, troubleshoot data integrity issues, maintain Confluence documentation, and support advertising and marketing tags. The role also performs routine tracking validation and assists with analytics implementation throughout production cycles.

Lead Android application architecture and technical decisions; establish development, testing, monitoring, and change-management processes; collaborate with product teams; reduce technical debt; and improve engineering productivity. The role requires native Android development with Kotlin and Jetpack Compose, plus knowledge of system design, APIs, design patterns, declarative UI, Git, and DevOps. Full-stack, cloud, GraphQL, Firebase, and AI tooling experience are advantageous.