Jobs at VentureDive

Lead UX design for consumer products, drive research (quantitative and qualitative), define requirements, create elegant interfaces and prototypes, manage design systems in Figma, mentor and lead a design team, and collaborate with cross-functional stakeholders to deliver product outcomes.

Lead migration of legacy .NET Framework 4.x systems to modern .NET (6+/9) using containerization. Design microservices, manage Docker/Kubernetes deployments, optimize performance, integrate relational and NoSQL databases, and implement CI/CD. Apply AI-assisted tooling for code generation, analysis, documentation, and responsible review practices while mentoring engineering teams through modernization.

Own and assess the client's enterprise data warehouse, build analytics/ML-ready transformation and feature pipelines, validate data quality and refresh timing, maintain lineage and governance, coordinate infrastructure and access with client IT, and support production pipeline reliability for daily ML scoring.

The AI Engineer will design, develop, and deploy autonomous data workflows and multi-agent systems for data analytics and decision automation.

Lead the design and delivery of scalable data and AI ecosystems, implementing architectures and pipelines for analytics and automation while mentoring engineers in best practices.

Join the R&D team to write clean code, prototype features and proofs-of-concept, research new tools and approaches, debug/test and document work, and present demos while iterating with feedback.

The Senior AI Engineer will build and operate a multi-agent AI system, develop knowledge ingestion pipelines, and manage AI product integration and evaluation processes.

The Senior Data Scientist will translate complex business problems into AI solutions, develop and deploy models, and collaborate with cross-functional teams for data analysis and insights.