• Own the technical architecture across the full funnel: Lead Generation, Lead Nurturing, MQL, SQL, Opportunity, Quote, Order, Invoice • Design scalable solutions that connect HubSpot with Microsoft Dynamics 365 and downstream systems. • Define lifecycle stages, lead scoring models, and routing logic across systems. • Ensure alignment between marketing, sales, and finance data models. • Identify automation opportunities across the funnel using AI and advanced analytics. • Architect and optimize lead capture mechanisms (forms, landing pages, campaign integrations). • Design and implement advanced lead scoring frameworks (behavioural, demographic, firmographic, predictive scoring). • Enable automated lead nurturing journeys and intelligent segmentation strategies. • Define marketing attribution models and performance tracking dashboards. • Architect funnel reporting and conversion analytics across the lifecycle. • Ensure clean handoff processes between MQLs and SQLs within HubSpot and Microsoft Dynamics 365. • Apply AI-driven insights to improve targeting, personalization, and funnel conversion rates. • Architect HubSpot Marketing Hub and Sales Hub solutions aligned with enterprise revenue architecture. • Design and govern bi-directional data synchronization between HubSpot and Microsoft Dynamics 365. • Define workflows, automation rules, lifecycle stages, custom objects, and reporting frameworks. • Implement multi-touch attribution and campaign performance measurement. • Leverage HubSpot’s AI capabilities for content optimization, predictive lead scoring, and automation enhancements. • Optimize segmentation, reporting, and campaign intelligence using AI-powered insights. • Architect solutions within Microsoft Dynamics 365 Sales / Customer Engagement. • Design CPQ frameworks including pricing logic, discount governance, bundling, and approval workflows. • Define order orchestration and ERP integration strategies (e.g., Dynamics 365 Finance & Operations). • Ensure seamless data flow from Closed-Won opportunities into order and billing systems. • Support subscription models and recurring revenue scenarios. • Leverage AI capabilities within Dynamics (e.g., sales insights, forecasting intelligence, Copilot features) to improve sales effectiveness and pipeline visibility. • Define API-first and event-driven integration strategies across HubSpot, Dynamics 365, ERP, and billing systems. • Establish data governance and master data management standards across the funnel. • Prevent duplication and ensure clean synchronization between marketing and CRM systems. • Partner with analytics teams to enable revenue intelligence and predictive modeling. • Design data models that support machine learning and AI-driven insights. • Define middleware architecture (MuleSoft, Boomi, Azure Integration Services). • Evaluate and incorporate modern AI tools (e.g., generative AI, copilots, workflow automation agents) to enhance system performance, documentation, solution design, and operational efficiency. • Establish architecture blueprints for marketing and revenue systems. • Create reusable integration patterns and automation templates. • Conduct system health checks and scalability assessments. • Ensure compliance with data privacy regulations (GDPR, CAN-SPAM, etc.). • Mentor teams on best practices in architecture and AI-enabled productivity.

• Backend szolgáltatások fejlesztése Node.js / JavaScript használatával • Event-driven rendszerek és adatpipeline-ok fejlesztése • Serverless funkciók fejlesztése AWS Lambda segítségével • Backend komponensek fejlesztése Docker konténerizált környezetben • API-k és backend logika implementálása • Üzenetküldő rendszerek használata (SQS, Kinesis) • Együttműködés nemzetközi fejlesztőcsapattal • A rendszer teljesítményének, stabilitásának és skálázhatóságának javítása

• Own execution of implementation work end-to-end: design, build, test, release, and operate services and features. • Build and evolve backend services in Golang, including REST, gRPC and WebRTC APIs. • Contribute to platform capabilities including serverless workloads, pub/sub messaging (NATS), and service integrations. • Work with data stores and infrastructure such as Postgres, Redis, and Milvus to deliver reliable, performant systems. • Contribute to frontend delivery using TypeScript and Aurelia when required (UI wiring, feature implementation, integration). • Use agentic tooling to support development workflows (design exploration, code generation, refactoring, test creation, troubleshooting), and validate outputs with strong review and verification habits. • Improve reliability and performance through strong engineering fundamentals: observability, profiling, throughput, and compute efficiency. • Participate in code reviews, technical discussions, and continuous improvement of engineering practices.

• Design, develop, and maintain scalable, secure, and high-performance applications using Python/TurboGears, PHP, and JavaScript • Architect and implement RESTful APIs and backend services with a focus on scalability and maintainability • Lead database design, optimization, and performance tuning with PostgreSQL as the primary database • Deploy, monitor, and maintain applications on AWS & Azure Environments. • Implement CI/CD pipelines and support DevOps best practices for automated build, test, and deployment • Troubleshoot, debug, and resolve production issues while ensuring minimal downtime • Improve system performance, reliability, scalability, and security continuously