The role involves a 50/50 split between developing AI-driven features using Python on GCP and maintaining core platform services with Java and Spring Boot. You will be responsible for shipping LLM-backed products to production and driving AI-assisted development practices across the team.
You will own the lifecycle of data platform infrastructure, including architecture, deployment, capacity planning, and incident response. You will also focus on operational automation to reduce manual work and improve system reliability.
Collaborate with leadership to develop product vision and design optimized user journeys for B2B SaaS experiences. Lead user research and own UX features end-to-end, from requirement definition to delivery and KPI analysis.
The role focuses on modeling client growth to manage infrastructure capacity and optimizing cloud/AI usage costs. It involves monitoring query performance across various platforms and owning product analytics reporting to identify growth bottlenecks and waste.
Lead the Intelligence Group to develop and scale ML, identity, and data science capabilities for a healthcare programmatic advertising platform. Manage a team of product managers across five streams, including optimization engines, AI targeting, and data partnerships.
Support the full campaign lifecycle by managing client communications, executing technical campaign operations, and monitoring performance against KPIs. Progress through the Rocket Program to move from operational support to full ownership of client accounts.
The Site Reliability Engineer will own service health, incident response, and infrastructure monitoring for GCP-based APIs and data services. They will also manage cloud cost visibility and collaborate with engineering teams to ensure operational excellence and security.
