Head of Platform

Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join the full team for our quarterly "Season Openers" (we cover travel and accommodation). If you're relocating to join us, we can also assist with relocation costs.

Our story

Partly is connecting the world's parts, and we're doing that by building the AI infrastructure layer for the global repair industry, starting with the $2tn automotive market. Our frontier model, Interpreter, is the world's first AI purpose-built to understand vehicle damage and the parts needed to fix it. Thousands of businesses across the global repair supply chain already rely on it.

Founded by ex-Rocket Lab engineers, we've tripled in size in the last 18 months and have recently raised a $50m Series B led by DST Global (Anthropic, Airbnb, Meta, TikTok, Spotify) and including Blackbird Ventures (Canva, CultureAmp etc.), WNDR, Activant Capital, Icehouse Ventures, Square Peg, Airtree, and Ecliptic Venture Capital. We're headquartered in Austin, with offices in New Zealand and London.

We're continuing to build a world-class team ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built, and our values are lived throughout every experience.

Want to learn more about the problems we're solving and the culture we're building at Partly ? Hear directly from our team here:

This role

Head of Platform is responsible for building and leading the team that provides Partly ’s foundation for shipping and operating software: the internal platform, infrastructure foundations, reliability practices, and security-by-default capabilities that let product teams move fast without breaking things. This now extends in two directions: the specialised infrastructure behind Partly 's foundational ML/AI capabilities (GPU compute, model training and serving, inference cost), and a platform that natively supports agentic development so regionally-embedded product engineers (including forward-deployed engineers) can move exceptionally fast. You’ll treat platform as an internal product - setting strategy, driving adoption, and partnering closely with engineering and the business to improve delivery speed, uptime, and cost efficiency as we scale.

What will you do

• Platform Strategy & Team Leadership: Build and lead the Platform function (SRE, DevEx, Infrastructure, Security enablement as appropriate). Set a clear roadmap, establish ways of working, hire and grow the team, and manage prioritisation/trade-offs.

• Developer Experience : Create the default path for engineers to build, test, deploy, and operate services (service templates, CI/CD, environment provisioning, secrets/config, deployment patterns, feature flags). Focus on adoption and measurable improvements in developer productivity.

• Reliability & Operational Excellence: Own or drive (depending on org boundaries) our reliability foundations: observability (metrics/logs/traces), alerting standards, incident response, postmortems, SLO/error budget practices, rollout/rollback patterns, backups/DR, and reducing on-call toil.

• Infrastructure Foundations: Ensure our cloud and Kubernetes foundations are scalable, secure, and maintainable. Use Infrastructure-as-Code and automation (Terraform for GCP, GitOps with ArgoCD, Python/Bash tooling, etc.) to run repeatable, auditable infrastructure.

• ML & Foundation-Model Infrastructure: Build the platform beneath Partly 's foundational models — accelerator (GPU/TPU) provisioning, scheduling and utilisation, training/fine-tuning orchestration, and scalable, low-latency model serving. Own the ML deployment lifecycle (model registry, experiment tracking, evaluation/observability) and treat inference economics as a first-class cost driver, since inference — not training — typically dominates AI infrastructure spen