- – Own developer narrative and go-to-market strategy to drive product adoption.
- – Create and oversee technical content, including blogs, demos, and tutorials.
- – Build relationships in AI and DevOps communities to enhance ecosystem presence.
- – Own post-sale customer lifecycle, ensuring successful onboarding and adoption.
- – Guide customers through integration of spatial data into operational workflows.
- – Monitor account health, identify risks, and advocate for customer needs internally.
- – Lead squad in delivering high-quality, AI-ready data products and pipelines.
- – Design and implement data models using BigQuery, Dataflow, and Kafka technologies.
- – Mentor engineers, manage operational health, and ensure delivery and quality standards.