Jobs at Maropost

Supports the Director of Strategic Partnerships by researching and developing partner relationships, coordinating onboarding and enablement, supporting co-selling and joint marketing initiatives, managing referrals and pipeline data, monitoring partner performance, and preparing reports. The role collaborates with Sales, Marketing, Product, and Customer Success to identify growth opportunities and improve partner engagement and revenue contribution.

Leads Maropost’s strategic partnerships function, building a scalable partner ecosystem that drives pipeline, revenue, and market growth. Responsibilities include developing partnership strategy and playbooks, managing and expanding technology and channel relationships, negotiating commercial models, establishing performance metrics, leading a three-person team, and collaborating with Sales, Marketing, Product, and Customer Success. The role also oversees partner enablement, joint go-to-market initiatives, reporting, pipeline attribution, and continuous optimization of partner performance.

Develop and architect scalable full-stack applications, primarily backend Go microservices for search and merchandising products. Build REST APIs, design cloud-native systems, manage production deployments, improve security and development tools, and lead architecture, code reviews, governance, and technical best practices. Collaborate in an empowered product team using agile sprints and technologies including PostgreSQL, Apache Pulsar, Vue.js, React.js, cloud infrastructure, and CI/CD tooling.

Own end-to-end machine learning for ecommerce discovery, including recommendation and ranking models, low-latency Python serving, batch pipelines, A/B testing, and production deployments. Operate containerized services on Kubernetes, monitor systems, and extend LLM-powered shopping and catalog applications. The role requires strong recommender systems, search ranking, embeddings, vector databases, streaming, and production ML experience.

Build, scale, and maintain cloud-native SaaS infrastructure on GCP. Manage Kubernetes clusters, Terraform automation, CI/CD pipelines, observability, security, reliability, and performance optimization. Collaborate with development and product teams, support incident response and on-call rotations, promote DevOps practices, and mentor junior engineers. The role requires strong expertise in GCP, Kubernetes, Terraform, scripting, cloud networking, monitoring, and infrastructure automation.

Design, build, and maintain scalable Ruby on Rails backend applications and REST APIs. Develop cloud-native solutions, optimize performance, contribute to architecture and technical decisions, integrate ML and NLP engines, and support DevOps, databases, monitoring, Kubernetes, and cloud scaling. The role also provides technical leadership, drives engineering innovation, governs architecture and design, and conducts code and design reviews.

Architect and guide large-scale cloud-native distributed systems and microservices across engineering teams. Define technical roadmaps, establish engineering standards, evaluate technologies, and make architecture trade-offs involving scalability, resilience, cost, latency, and security. Remain hands-on by writing performant code, reviewing architecture and code, leading debugging and optimization efforts, and resolving production incidents. Drive API, event-driven, messaging, observability, and DevOps strategies.

Design, build, and maintain scalable backend applications and REST APIs using Ruby on Rails. Contribute to cloud-native architecture, big data/analytics prototypes, and system performance optimization. Provide technical leadership, conduct code/design reviews, integrate ML/NLP engines, and manage DevOps (CI/CD, monitoring, Kubernetes) and DBMS (PostgreSQL/MySQL) for production-scale deployments.

Build and maintain backend applications in Scala, including refactoring, architecture and API design, SQL schema modeling, message-based systems, testing, code reviews, and CI/CD. Collaborate cross-functionally on technical specifications, infrastructure, process improvements, and continuous learning. The role uses Apache Pulsar, Kubernetes, CircleCI, and ArgoCD, with emphasis on reliable, readable code and backend application development rather than data engineering.

Design, build, and operate scalable data engineering services and ingestion pipelines (CDC/streaming). Develop and optimize a centralized analytics warehouse, data models, and aggregation strategies. Build APIs, enforce multi-tenant security and data governance, monitor pipeline health, improve automation and observability, and ensure production reliability through strong engineering practices.