Overstory

Satellite vegetation intelligence for smarter infrastructure and safer communities.

Director of Platform Engineering

Platform EngineerPlatform EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

New York

Posted

36 days ago

Salary

Not specified

10 yrs expEnglishCloudGoogle Cloud PlatformKubernetes

Job Description

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals. • Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures. • Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards. • Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production. • Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs. • Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence. • Set metrics and accountability for platform performance, reliability, and developer productivity.

Job Requirements

  • 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms.
  • Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices.
  • Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management.
  • A track record of building reliable, scalable systems used by fast-moving product teams.
  • Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams.
  • Strong communication skills and the ability to influence across org boundaries.
  • Experience in data- or ML-heavy products.

Benefits

  • To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis.
  • Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around.
  • Other benefits like a remote working budget, an educational budget and time to develop new skills.
  • To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect.
  • Equity and a competitive salary.

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