Jobs at Pantheon Platform

Own operational excellence and governance for the PDE SDLC, manage and integrate core tools (ProductBoard, Jira, Amplitude, etc.), drive data integrity and automation, create SOPs and workflows, and partner with senior leadership to influence product, design, and engineering operations.

Lead design and implementation of a zero-to-one, real-time collaborative web content platform. Own architecture, build backend sync and delivery services, craft low-latency frontend editing experiences, define engineering standards, evaluate third-party tradeoffs, and mentor engineers while partnering with product and design.

Lead architecture and hands-on engineering of Pantheons data platform: extend ingest, curation, and retention services; build ML/LLM-ready data infrastructure; mentor engineers; operate in a DevOps model; ensure data governance, observability, reliability, and cross-functional partnership.

Drive redesign of the new-customer experience by building features across Python services, a GraphQL gateway, Auth0-based auth, and Terraform-managed GCP infrastructure. Collaborate cross-functionally, ensure reliable, well-tested deployments, and independently drive projects to completion.

Own end-to-end analytics modeling for a business domain: build and maintain dbt models and marts on Snowflake, develop the BI semantic layer, define consistent metrics, create self-serve data products, and partner with Finance, Sales, Marketing, CS, and Data Platform to translate business questions and ensure data quality.

Lead Developer Experience product strategy across Autopilot, Multidev, Upstreams and emerging areas (public APIs, MCP integrations, agentic systems). Define roadmaps, measure developer velocity and satisfaction, gather research and competitive intelligence, and align engineering, product, and executives to deliver platform integrations and developer workflow improvements.

Own the Next.js Platform, set strategy and roadmap, balance enterprise and developer needs, synthesize research and data to drive product decisions, define success metrics, and lead cross-functional delivery to improve platform performance and outcomes.

Build and maintain scalable, reliable data systems and pipelines, uphold SLOs, partner with Product/Sales/Finance, enable self-service analytics, contribute to data platform strategy, and improve engineering practices for testing, reliability, and documentation.