Jobs at Voyantis

Analyze complex datasets, translate findings into actionable insights, improve data pipelines and client onboarding, create internal and external visualizations, collaborate with clients, contribute to AI model design, and build data analysis infrastructure.

Own post-sale implementation and optimization for enterprise customers: design experiments on Google and Meta, ensure signal quality and conversion tracking, troubleshoot integrations, analyze data with SQL, and drive measurable acquisition performance and bidding strategy improvements.

Design and implement scalable data pipelines and microservices, maintain backend services, and evolve the platform infrastructure for effective data management.

Lead the design and implementation of AI solutions for Lifecycle Marketing, using expertise in causal inference and experimentation while mentoring team members.

Lead development of the Engage product: design, build, and operate end-to-end production systems spanning data pipelines, ML decisioning services, backend and UI. Ship features from prototype to production, monitor performance, and collaborate with product and data science to iterate and scale.

Build and own end-to-end features for the Voyantis UA Platform, including backend services, APIs, databases, LLM agents, data pipelines, UI, monitoring and dashboards. Ensure performance, correctness, reliability and scalability while contributing to architecture, experimentation and operational excellence.

Lead the Acquire product group end-to-end: set strategy and roadmap, manage three PMs, translate predictive models into ad-platform product value, partner with Data Science, Engineering, Operations, and GTM teams, and productize operational workflows into scalable, AI-driven tools.