Jobs at Nortal

Designs, implements, and optimizes personalized, multichannel customer journeys using Adobe Journey Optimizer. Collaborates with marketing, analytics, and IT teams on audience segmentation and campaign execution. Analyzes customer data, conducts A/B and multivariate testing, monitors performance metrics, and provides optimization insights to improve engagement, conversions, and retention.

Design and execute functional, integration, and regression tests for event-driven marketing journeys and campaigns across Adobe platforms. Validate triggers, audience eligibility, personalization, customer data, and campaign results using SQL and systems such as AEP and Snowflake. Document and track defects, retest fixes, collaborate with technical and business stakeholders, support release sign-off, improve test coverage, and participate in technical interviews.

Configure and optimize customer engagement journeys using Adobe Experience Platform, Real-Time CDP, and journey orchestration technologies. Build audience segments, personalization rules, and journey logic; troubleshoot data flows, event processing, and profile inconsistencies; analyze datasets with SQL; and support live journey execution. Collaborate with marketing, campaign operations, data engineering, and distributed teams while documenting solutions and supporting migration to Adobe technologies.

Build, configure, test, and deploy high-volume batch email campaigns using enterprise marketing platforms. Translate briefs into campaign setups, review audiences and data logic, perform quality checks, manage templates, track deadlines, coordinate distributed teams, communicate with stakeholders, and support reporting, approvals, and process improvements.

Design and deliver production-grade AI applications, agent integrations, memory architectures, enterprise data pipelines, and safety evaluation systems. Build RAG and agentic workflows, integrate CRM and ERP data, optimize model cost and latency, and collaborate with stakeholders to identify valuable use cases and drive adoption. The role requires strong software engineering, data engineering, cloud, AI framework, vector database, and production LLM experience.

Design and execute account-based marketing strategies to attract and qualify opportunities in the US market. Responsibilities include researching target accounts, creating multichannel campaigns, prospecting senior technology leaders, booking and qualifying discovery meetings, maintaining CRM accuracy, running A/B tests, tracking funnel performance, and sharing campaign insights. The role requires technical fluency in cloud, data, AI, software development, and nearshore delivery, along with advanced English communication skills.

Own and grow a portfolio of US enterprise technology clients, targeting 10–15%+ annual growth and $20M+ account revenue. Lead Customer Success Managers, manage renewals and negotiations, build executive relationships, protect service quality, and oversee revenue forecasts, margins, pricing, and budgets. The role requires experience managing US clients from LATAM, leading global delivery teams, and traveling regularly to the United States.

Own US new-logo sales quota and full sales cycles, from prospecting technology leaders through contract negotiation. Build executive networks, develop demand-generation strategy, improve funnel conversion, maintain accurate CRM forecasts, and expand existing client relationships. The role requires selling nearshore technology services to US clients, leading C-level conversations, and recurring travel to the United States.

Own the architecture, governance, integrations, and roadmap for an enterprise Marketo Engage platform. Design CRM and Adobe Experience Cloud data flows, Buying Groups and account-based frameworks, data models, privacy controls, and scalable marketing automation solutions. Mentor Marketo Operations specialists, advise stakeholders, evaluate AI and automation opportunities, produce architecture documentation, and support large-scale digital transformation initiatives.

Lead hands-on development of highly interactive consumer web applications connected to a 3D home design platform. Architect and optimize frontend systems, APIs, microservices integrations, performance, observability, testing, and web quality. Provide technical direction, mentor engineers, coordinate technology roadmaps, collaborate with Product and design stakeholders, and connect technical decisions to customer and business outcomes. The role is approximately evenly split between product engineering and technical leadership.

Analyze business processes and requirements, support marketing technology and CRM systems, manage data migration and integration initiatives, create functional documentation, coordinate UAT, validate data quality, and facilitate stakeholder collaboration across business and technical teams.

Own enterprise AI platforms, provide technical support, monitor platform health, and manage AI use-case requests. Build and operate LLM applications, agents, RAG systems, custom integrations, Slackbots, and workflow automations using Python or JavaScript/TypeScript. Ensure production reliability through monitoring, evaluation, documentation, and runbooks while coordinating stakeholders and vendor escalations independently.

Build and deploy AI-powered full-stack solutions for business teams, from use-case discovery through production adoption. Integrate enterprise data, APIs, and internal systems; support stakeholder adoption; troubleshoot delivery challenges; and convert successful implementations into reusable tools, frameworks, and playbooks. The role requires strong software engineering, production AI, cloud, API integration, and technical delivery experience.

Drive end-to-end technical project and program planning across product and engineering teams. Manage milestones, dependencies, resources, risks, communications, requirements, technical implementation, integrations, metrics, and delivery timelines. The role also supports agile software development, stakeholder alignment, issue resolution, and standardized project management practices.

Gather and document business requirements, translate needs into process flows and functional specifications, write user stories and acceptance criteria, maintain Azure DevOps backlogs, and support developers, testers, and stakeholders on Azure cloud migration projects. The role also includes conducting technical interviews and collaborating with US clients in English.

Design and build secure enterprise applications and AI agents using React, TypeScript, Python, APIs, and MCP integrations. Develop agentic workflows with structured outputs, state management, human approvals, error recovery, authentication, RBAC, audit logging, evaluations, guardrails, tracing, and monitoring. Collaborate with domain experts and product managers, own production delivery, create reusable components, document and test code, mentor engineers, guide technical direction, and conduct technical interviews.

Designs and implements advanced Microsoft Dynamics 365 Sales customizations and AI-driven sales capabilities. Responsibilities include configuring agents, predictive scoring, Conversation Intelligence, Sales Insights, Copilot, and integrations with external systems through APIs and Azure. The role supports data modeling, governance, scalability, secure coding, solution architecture, and stakeholder alignment with sales strategies and KPIs. Requires a bachelor's degree, 5+ years of Dynamics 365 development experience, advanced English, and extensive Dynamics Sales Premium and AI expertise.

Designs, operates, and scales highly available distributed systems and Cassandra-based caching platforms. Responsibilities include AWS infrastructure, CI/CD automation, infrastructure as code, observability, performance testing, active-active resiliency, incident response, and production troubleshooting. The role establishes SRE standards, improves reliability and deployment practices, automates operational tasks, and provides technical guidance while collaborating with Java and Spring Boot engineering teams.

Build secure, scalable data platform and governance automation capabilities. Develop controls for metadata, lineage, data quality, access, policy enforcement, identity, and auditability. Create secure APIs, MCP tools, enterprise integrations, automated testing and deployment, monitoring, and observability. Own production-quality code and documentation, support full lifecycle delivery, collaborate across technical and governance teams, and mentor engineers.

Configure and optimize Adobe Workfront environments for client requirements, including workflows, custom forms, reports, dashboards, sharing rules, user management, and Fusion integrations. Gather business requirements, design scalable solutions, document architecture, support Agile delivery, and mentor junior engineers. The role is client-facing and focused on maintaining existing environments, implementing automation, and recommending innovative Workfront and Adobe ecosystem solutions.