Jobs at MWDN

The role involves leading data platform implementation and optimization, building data pipelines, designing transformations, and providing engineering leadership in a collaborative consulting environment.

The Multi-Cloud Data Platform Engineer will manage cloud data infrastructure, design cross-cloud data movements, and build CI/CD pipelines. They will also implement security controls and monitor infrastructure health across AWS, Azure, and GCP.

As a Senior Software Engineer, you'll design and develop complex software solutions, work closely with product managers, and drive architectural decisions.

Hands-on Senior Java backend architect responsible for designing and building high-load, low-latency AdTech systems (DSP/SSP/Ad Exchange), writing high-performance Java code, optimizing latency and performance, integrating external ad platforms, defining architecture and best practices, and mentoring backend developers.

Senior product designer focused on growth for a B2B SaaS eLearning platform. Improve time-to-first-value, reduce onboarding friction, increase adoption and expansion, design monetization surfaces, run experiments with Product and Data, scale role-based experiences across Admin and Learner journeys, and steward the design system working closely with engineering in a distributed US-focused environment.

Lead product design for a B2B SaaS eLearning platform focused on growth and activation. Improve time-to-first-value, reduce onboarding friction, increase feature adoption and monetization. Partner with Product and Data to design experiments tied to KPIs, iterate quickly, and steward an established design system across role-based Admin and Learner experiences. Collaborate asynchronously with U.S. stakeholders and ensure designs align with U.S. compliance and reporting expectations.

Design, train, implement, evaluate and monitor end-to-end ML models (churn, forecasting, segmentation, classification, regression). Perform data exploration, analysis, visualization, collaborate with product managers and customers, and present insights across the company.

Design, train, implement, evaluate and monitor end-to-end ML models (churn, forecasting, segmentation, classification, regression). Collaborate with product and customers, perform data exploration, analysis and visualization, and present insights in English to stakeholders.

Build and maintain ELT pipelines, develop/test/document dbt models, optimize analytics in BigQuery, write Python for data processing, ensure data quality and reliability, monitor and troubleshoot pipelines, and collaborate with analytics, product, and game teams.

Work on an InsurTech ML platform: design, train, deploy, evaluate, and monitor models (forecasting, churn, segmentation, classification, regression). Collaborate with product and customers, perform data exploration, analysis, visualization, and present insights in English.

Build, maintain, and scale ELT pipelines and dbt models on Google BigQuery. Write Python for data processing, ensure data quality, monitor pipelines, and collaborate with analytics, product, and game teams to deliver reliable analytics datasets.

Build, maintain, and scale ELT data pipelines and dbt models on Google BigQuery. Write Python for data processing, ensure data quality, monitor and troubleshoot pipelines, and collaborate with analytics, product, and game teams to deliver reliable analytics datasets.

Senior product designer focused on growth for a multi-product B2B SaaS eLearning platform. Drive activation, onboarding, adoption, and monetization through experimentation, scalable role-based experiences, and design system stewardship. Collaborate with product, data, and engineering to run A/B tests, iterate on measurable UX hypotheses, and reduce friction in complex compliance workflows for U.S. customers.

Senior product designer focused on growth for a B2B eLearning SaaS platform. Drive activation, onboarding, feature adoption, experimentation, and cross-product discoverability; steward design system and collaborate with product, data, and engineering to deliver measurable business outcomes for U.S. customers.

Lead growth-focused product design for a B2B SaaS eLearning platform: improve time-to-first-value, reduce onboarding friction, increase adoption and expansion, run experiments with Product and Data, steward the design system, and deliver scalable role-based experiences for U.S. customers.

Lead growth-focused product design for a B2B eLearning SaaS: reduce onboarding friction, improve activation and adoption, design monetization surfaces, run experiments with Product/Data, steward the design system, and deliver scalable role-based experiences for U.S. customers in a distributed team.

Source, screen, and manage end-to-end recruitment for IT roles; build candidate pipelines; create job descriptions and outreach; maintain ATS and candidate records; liaise with clients and hiring managers; run technical screenings and negotiate offers to deliver strong candidate experiences.

Senior product designer responsible for growth and activation across a multi-product B2B SaaS eLearning platform. Improve time-to-first-value, reduce onboarding friction, design monetization surfaces, run experiments with Product and Data, scale role-based experiences, and steward the design system while collaborating closely with engineering and distributed U.S. teams.

Design, train, deploy, evaluate, and monitor ML models (churn, forecasting, segmentation, classification, regression). Collaborate with product managers and customers, perform data exploration and visualization, apply causal inference and experimentation, and present insights in English.

Build, maintain, and scale ELT data pipelines and dbt models using BigQuery and Python. Ensure data quality, optimize analytics performance, document models, monitor pipelines, and collaborate with analytics, product, and game teams.