We're looking for a Platform Team Leader to own the foundational systems that power R&D organization. The Platform team is a horizontal, internal-facing team - its customers are the engineers, data scientists, and analysts on our application teams, and its mission is to make them faster, safer, and more productive.
You will lead a team responsible for our production-critical data ingestion (scraping system, data normalization platform), our developer experience surface (Python mono repo, packages and services framework, CI/CD, shared images), our Airflow base layer, and our backoffice. These systems sit on the critical path for production - every other team depends on them, and uptime, incident response, and reliability are core to the role.
This role is for a hands-on technical leader who enjoys both shipping code and growing engineers. You'll spend roughly 50% of your time hands-on writing code, reviewing designs, and the rest leading the team, partnering with peer team leads, and shaping the technical direction of our platform with the VP R&D and CTO.
Responsibilities
Lead and grow a team of strong backend engineers, owning hiring, mentorship, performance, and personal growth
Own the team's roadmap end-to-end: scoping, prioritization, delivery, and quality
Drive the architecture and evolution of the platform layers your team owns - both the data plumbing that feeds and the developer-experience surface other R&D teams build on
Contribute hands-on (~50%) to design, code, code reviews, and production debugging
Set and uphold engineering standards across the team - code quality, system design, testing, observability, and operational excellence
Partner closely with peer team leads and the VP R&D to align on shared infrastructure, ownership boundaries, and developer experience
Lead by example on production incidents and customer-impacting issues
Influence broader R&D direction as a member of the R&D leadership forum
Requirements: 3+ years of experience as a team leader in a product-oriented R&D organization
6+ years of hands-on Python development experience
Strong background designing and operating distributed systems and microservices in production
Hands-on experience with Kubernetes and Docker in production environments
Solid working knowledge of GCP (or equivalent cloud) - Cloud Run, BigQuery, GCS, IAM
Experience designing and operating CI/CD pipelines in a microservices / mono repo environment
Experience with Airflow or similar orchestration frameworks
Proven ability to balance hands-on contribution with team leadership at ~50/50
Strong sense of ownership, end-to-end accountability, and a builder's mindset
Excellent collaborator - comfortable working across teams and aligning on shared infrastructure ownership
This position is open to all candidates.