Full-stack Engineer

• Join a highly talented team and value a microservices architecture.
• Work with the biggest entertainment companies, impacting how millions enjoy their favorite content.
• Build and provide solutions through an integrated suite of media platforms, including television, Internet, mobile, OTT Streaming and other emerging products.

Senior Fullstack Developer – MERN Stack

• Develop and maintain scalable backend services and APIs ensuring seamless operation between internal systems and external platforms. Tech stack: NodeJS (Typescript), Java/Kotlin and ReactJS
• Collaborate with cross-functional teams to integrate customer data platforms (CDPs) such as Segment, building custom data pipelines and ensuring that marketing data is collected, processed, and utilized efficiently.
• Work closely with the marketing and growth teams to support A/B testing strategies using platforms like StatSig, helping optimize website and app performance based on test outcomes.
• Integrate advertising platforms (e.g., Google Ads, Meta, TikTok) with the broader MarTech ecosystem to ensure accurate tracking, reporting and optimization.
• Ensure data quality and governance for marketing technology integrations and customer data flows, maintaining high levels of accuracy in campaign tracking and reporting.
• Monitor and troubleshoot system integrations, resolving any issues related to data flows, API connections, or platform performance.
• Supporting the on-call rotation to help the business run 24/7.

Senior Full Stack Engineer, MarTech

• Drive the design and implementation of a greenfield billing service, replacing legacy code with modern microservices, strong test coverage, and production-grade observability
• Enable other product teams by building and maintaining billing infrastructure they depend on
• Triage and resolve billing support tickets, including escalation to the payments team when needed
• Collaborate closely with the Accounts Receivable team to translate accounting requirements into engineering solutions
• Use AI tools (Claude and/or Cursor) as your primary development environment

Senior Software Engineer, Billing

• Design, develop, and maintain full-stack web applications using Python, React, TypeScript, and modern web technologies.
• Build, enhance, and maintain backend APIs and services using FastAPI or similar Python frameworks.
• Develop responsive, scalable, and user-friendly frontend applications using React and Next.js.
• Design, optimize, and maintain PostgreSQL databases, ensuring performance, reliability, and data integrity.
• Implement and maintain secure authentication and authorization systems using Auth0 or equivalent OIDC/JWT and RBAC solutions.
• Deploy, monitor, and support applications within AWS cloud environments.
• Manage and troubleshoot AWS infrastructure components, including EC2, RDS, IAM, Application Load Balancers (ALB), and CloudWatch.
• Participate in infrastructure planning and cloud architecture discussions to improve scalability, security, and operational efficiency.
• Build and maintain CI/CD pipelines using GitHub Actions and support branch-based deployment workflows.
• Containerize and deploy applications using Docker.
• Monitor application health, performance, and reliability, identifying and resolving production issues proactively.
• Collaborate with cross-functional teams to define technical requirements and deliver high-quality solutions.
• Conduct code reviews and contribute to engineering best practices, coding standards, and technical documentation.
• Support continuous improvement initiatives across application architecture, infrastructure, and development processes.

Full Stack Engineer

• Design, develop, and maintain full-stack applications using React, Python/Django, and GraphQL.
• Translate business requirements into scalable, reliable, and efficient product features.
• Collaborate with cross-functional teams, including product and customer support, to identify, prioritize, and resolve issues.
• Ensure application stability by debugging and fixing production issues quickly and effectively.
• Contribute to system reliability by understanding and supporting AWS infrastructure and deployment pipelines.
• Participate in asynchronous development workflows, including code reviews and pull requests.
• Work independently, managing priorities and delivering high-quality solutions without the need for micromanagement.
• Continuously improve code quality, performance, and development best practices.

Senior Fullstack Engineer

• Desarrollar MVPs y aplicaciones web de forma rápida (1-6 semanas).
• Transformar necesidades de negocio en soluciones digitales funcionales.
• Construir dashboards, paneles admin, CRMs ligeros y herramientas internas.
• Integrar APIs (pagos, ERPs como Odoo, CRM, WhatsApp, etc.).
• Utilizar herramientas de IA para acelerar desarrollo (vibe coding).
• Desplegar aplicaciones en entornos productivos.
• Crear prototipos y demos para validación con clientes.
• Optimizar y mejorar productos existentes.
• Documentar lo necesario sin frenar la velocidad.
• Colaborar con equipo de negocio para priorizar lo importante.

Product Builder, Full-Stack, Vibe Coding, IA

• Work across the full software development lifecycle: analysis, design, development, testing, deployment, and support.
• Develop and maintain applications and services using modern engineering practices.
• Build and integrate REST APIs and microservices.
• Work with SQL and NoSQL databases to store, query, and optimize data.
• Contribute to scalable backend systems and cloud-based infrastructure.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews and agile development processes.
• Support production systems and help troubleshoot technical issues.
• Collaborate with engineers, product teams, and stakeholders across regions.

Graduate Software Engineer

• Work across the full software development lifecycle: analysis, design, development, testing, deployment, and support
• Develop and maintain applications and services using modern engineering practices
• Build and integrate REST APIs and microservices
• Work with SQL and NoSQL databases to store, query, and optimize data
• Contribute to scalable backend systems and cloud-based infrastructure
• Write clean, maintainable, and well-tested code
• Participate in code reviews and agile development processes
• Support production systems and help troubleshoot technical issues
• Collaborate with engineers, product teams, and stakeholders across regions

Graduate Software Engineer – LATAM

Graduate Software Engineer, LATAM

• Design, build, and deploy production web applications in collaboration with team members and stakeholders.
• Partner with cross-functional teams (data engineers, data scientists, designers, PMs, and clients) to translate business requirements into practical, product-driven applications.
• Build and maintain APIs, integrations, and data flows that connect front-end experiences to back-end data systems and pipelines.
• Leverage managed and serverless cloud offerings to create performant, scalable, cloud-native solutions.
• Apply sound engineering practices: unit tests, integration tests, automated testing, and Test-Driven Development.
• Own deployment processes for the software you build (CI/CD).
• Participate in code reviews, scrum/agile ceremonies, and follow SDLC best practices.
• Develop reusable, automated processes and tooling around the applications you build.
• Stay current with advances in web technologies and proactively explore innovations.
• Collaborate on architecture decisions and share architecture diagrams with the team.
• Help with requirements gathering, refinement, and grooming of new features.
• Continuously look for ways to improve the systems you build (performance, reliability, security).
• Interact with others using sound judgment, good humor, and consistent fairness in a fast-paced environment.
• Lead the full-stack engineering of the pricing tool, focusing on the React front-end and robust integration with Microsoft Dynamics/Dataverse.

• Unlocking Visual Data: Building pipelines that can "read" complex documents, understanding layout, charts, and visual context using Vision-Language Models (GPT-4V, Claude 3.5) and Layout Analysis.
• Orchestrating Intelligence: Owning the application logic layer. You will use LangChain or LangGraph to build the agents and chains that query our data, reason about it, and generate responses.
• Native PDF Handling: Handling the messy reality of PDF processing (PyMuPDF, layout parsing) to preserve structure before the AI even sees it.
• Prompt Engineering & Logic: Crafting complex prompts and control flows to ensure models interpret financial charts and layouts accurately without hallucinating.
• Cost & Scale: Applying a cost-optimization mindset (batch processing, model selection) to ensure our vision and orchestration layers are economically viable.

Senior AI Engineer – Vision

• Design, develop, and maintain backend services using Java, Spring Boot, and modern architectural patterns
• Build intuitive, performant front-end experiences using React, Angular, or Vue
• Lead technical design discussions and contribute to architectural decisions
• Integrate AI/ML capabilities into applications (e.g., embeddings, LLM-powered features, intelligent automation)
• Use AI-assisted development tools to accelerate coding, testing, documentation, and refactoring
• Mentor junior engineers and promote engineering best practices across the team
• Collaborate closely with product, data, and AI teams to deliver end-to-end solutions
• Contribute to CI/CD pipelines, cloud deployments, observability, and performance optimization
• Ensure security, scalability, and maintainability across the full stack

Senior Software Engineer

• Develop and maintain backend services using Java, Spring Boot, and related frameworks
• Build responsive, user-friendly front-end features using modern JavaScript/TypeScript frameworks (e.g., React, Angular, or Vue)
• Participate in design discussions, code reviews, and sprint ceremonies
• Collaborate with cross-functional team members to deliver high-quality features end-to-end
• Write clean, maintainable, and testable code following engineering best practices
• Leverage AI-assisted tools to accelerate development and improve code quality
• Troubleshoot, debug, and optimize applications for performance and reliability
• Contribute to CI/CD pipelines, cloud deployments, and automation efforts

Software Engineer I

• Lead the technical design and architecture of full‑stack Java applications using Spring Boot and modern front‑end frameworks
• Drive the integration of AI/ML capabilities into enterprise systems, including LLM‑powered features, intelligent automation, and AI‑assisted workflows
• Provide hands‑on development while guiding the team in best practices, code quality, and modern engineering standards
• Mentor and coach engineers across multiple levels, fostering growth and technical excellence
• Collaborate closely with product, data, and AI teams to define technical strategy and deliver end‑to‑end solutions
• Oversee system performance, scalability, observability, and security across the stack
• Champion the use of AI‑assisted engineering tools to improve velocity, reliability, and developer experience
• Facilitate technical discussions with clients, translating complex concepts into clear recommendations
• Contribute to CI/CD pipelines, cloud architecture, and DevOps practices to ensure smooth, reliable deployments

Software Technical Lead

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AI Product Engineer

• Build the outbound engine using Clay
• Design and manage tables for ICP accounts, personas, and enrichment
• Connect multiple data sources into usable datasets
• Turn static account lists into dynamic, signal-driven targeting systems
• Drive community and content distribution
• Build and engage with relevant communities where target users spend time
• Identify and activate channels such as LinkedIn, niche data communities, and operator groups
• Support distribution of content to drive awareness and inbound interest
• Support content and video production
• Work with Marketing to translate product and use cases into simple, clear content
• Contribute to lightweight content creation such as demos, explainers, and short videos
• Help turn outbound learnings into content that scales messaging and engagement
• Own data enrichment and signals
• Integrate enrichment providers and external data sources
• Layer in intent, behavioral, and trigger-based signals
• Build scoring logic based on fit, timing, and engagement
• Design outbound workflows and automation
• Build workflows across CRM, sequencing tools, and automation platforms
• Enable programmatic outbound with personalization at scale
• Reduce manual SDR work while improving quality and consistency
• Enable personalization at scale
• Use structured data and AI tools to support relevant outbound messaging
• Add account-level context to sequences
• Support SDRs with research and execution
• Own pipeline infrastructure
• Define how accounts move from target to engaged to meeting to pipeline
• Ensure clean routing, tracking, and prioritization
• Support speed to lead and coordination between inbound and outbound
• Run experiments and improve performance
• Partner across GTM
• Work closely with Demand Gen, SDRs, Sales, and Product Marketing
• Align targeting, messaging inputs, and execution.
• Act as the technical backbone of outbound and pipeline generation

GTM Engineer

• Lead the technical design and implementation of AI-powered product features from concept through production.
• Own end-to-end architecture for AI solutions, including data flows, model integration, APIs, and application integration.
• Make pragmatic decisions to accelerate delivery while maintaining system integrity.
• Ensure AI solutions are secure, observable, scalable, and aligned with platform standards.
• Act as the technical lead for a cross-functional AI Pod.
• Break down product requirements into executable technical workstreams and prototypes.
• Guide rapid iteration cycles, proofs-of-concept, and MVPs, balancing experimentation with production readiness.
• Review code, architecture, and technical decisions to maintain quality and velocity.
• Partner closely with Product Management to shape problem definitions, success metrics, and delivery plans.
• Collaborate with the Data Science Leader to integrate models, analytics, and data assets into product workflows.
• Translate data science outputs into consumable APIs, services, and product features.
• Provide technical feedback on feasibility, scope, and tradeoffs during product discovery.
• Ensure features are production-grade, including monitoring, logging, and performance tracking.
• Implement guardrails around AI usage, including reliability, latency, cost controls, and failure modes.
• Support experimentation frameworks, A/B testing, and post-launch learning loops.
• Drive responsible AI practices, including explainability, bias awareness, and data privacy considerations.
• Define and enforce lightweight engineering standards for AI-enabled systems.
• Promote reuse of components, prompts, pipelines, and services across AI initiatives.
• Mentor pod engineers on AI-adjacent system design and best practices.
• Contribute to internal documentation and shared AI patterns/playbooks.

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Graduate Software Engineer – LATAM

Graduate Software Engineer – LATAM

Graduate Software Engineer – LATAM

Graduate Software Engineer, LATAM

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Senior AI Engineer – Vision

Senior Software Engineer

Software Engineer I

Software Technical Lead

AI Product Engineer

GTM Engineer

Tech Lead