Technical Delivery Lead, AI Platform.
About the team:
Our AI platform team builds and operates the foundation that our internal machine learning and generative AI teams use to build, deploy, and run their solutions.
We build the platform software, including a deployment API, an AI gateway to multiple frontier model providers and self-hosted models, and higher-level services such as human-in-the-loop review. We also provide AI safety tooling, such as automated red-teaming, so every application on the platform starts from a secure baseline.
Why this role:
Our engineers move fast- a single two-week release can contain dozens of merge requests. We're about to add significant engineering capacity, and our customer base is growing beyond our early pilot teams.
Our constraint isn't how fast we write code. It's how smoothly committed work flows to production. Work stalls waiting on reviews, on dependencies across domains, on test evidence, or on the release process. As the team grows, those stalls multiply unless someone owns the flow. That's this role.
What you'll do:
• Track every committed story from dev-ready through release, and make stalled or aging work visible early.
• Actively drive work in progress down: help the team finish before starting, and keep work-in-progress limits honest.
• Diagnose why work is stuck at any stage, such as an unclear requirement, a pending review, an unmerged dependency, a failing pipeline, a pending infrastructure change, or missing test evidence.
• Know where to go and who to bring in to remove each barrier; you'll clear the path rather than do the engineering yourself.
• Have direct, constructive conversations with engineers when work stalls, going beyond status updates and Jira hygiene to real, meaningful unblocking support.
• Run releases end to end.
• Run a weekly release train, including schedules, cutoffs, and go/no-go decisions.
• Prepare releases: confirm scope, verify environment readiness, and assemble release notes.
• Ru
📌 Delivery Lead (México)
🏢 ITJ
📍 México