Jobs at VentureDive

The Database Administrator will manage and support enterprise databases, ensuring high availability, performance tuning, and participation in modernization and migration projects.

Lead development of AI applications, design full-stack systems integrating LLMs, and collaborate with teams to create AI solutions.

The Senior Power BI Developer will design, optimize dashboards, write DAX measures, implement security, and collaborate with stakeholders to improve data visualization and reporting efficiency.

Design and optimize data platforms on Azure and Snowflake, develop ETL/ELT pipelines, dimensional models, and oversee analytics enablement while ensuring data governance and quality.

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.

The Senior Product Manager will lead product discovery and validation for FinTech and AI projects, defining value propositions and managing stakeholder relationships.

The AI Engineer will design, develop, and deploy intelligent systems using Python and AI frameworks, focusing on backend services and MLOps.

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 Product Owner will manage the product roadmap, coordinate between teams, optimize the backlog, and ensure quality delivery through Agile methodologies.

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.

Develop and maintain Windows-native applications using WinForms, WPF, and .NET 8, focusing on UI automation, background executables, and cloud connectivity.

The UX Designer will collaborate with teams to research user needs, create designs and prototypes, and drive design consistency across products. They will work autonomously and contribute to strategic planning. Strong communication skills and familiarity with design tools are essential.

The Senior Site Reliability Engineer will manage production reliability, observability, infrastructure, CI/CD pipelines, cost optimization, and security for a real-time mobility platform.

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