Director of Platform Engineering

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Platform Engineering in the United States.
This role offers the opportunity to lead and evolve a company’s core engineering platforms, driving innovation, reliability, and operational excellence across multiple technical teams. You will oversee Platform, SRE, and MLOps functions, ensuring systems scale efficiently while supporting rapid product development and customer growth. The position requires strong cross-functional collaboration with product, data, and application engineering teams, setting technical vision, best practices, and standards. You will build and mentor high-performing teams, establish metrics for platform performance, and make strategic trade-offs between speed, reliability, and operational cost. The environment is fast-paced, mission-driven, and globally distributed, providing a unique opportunity to shape foundational systems that have a tangible impact. This role combines deep technical judgment, leadership, and a passion for empowering others through robust engineering platforms.
Accountabilities

• Own the platform strategy across Platform, MLOps, and SRE, aligning with company and product goals.
• Lead, grow, and mentor senior ICs and managers across multiple teams, fostering strong technical leadership and healthy team cultures.
• Define and evolve the platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards.
• Oversee MLOps systems to support model development, deployment, monitoring, and lifecycle management in production.
• Partner with Product, ML, Data, Security, and Compliance teams to ensure platform meets current and future needs.
• Balance speed, stability, and operational excellence, making thoughtful trade-offs in innovation, cost, and reliability.
• Set metrics and accountability for platform performance, reliability, and developer productivity.

Requirements

• 10+ years of experience leading platform, infrastructure, or reliability teams in a scaling startup environment.
• Proven ability to navigate ambiguity, rapid growth, and transitions from early-stage systems to mature, repeatable platforms.
• Strong understanding of cloud-native infrastructure (GCP preferred), Kubernetes, CI/CD, and modern DevOps practices.
• Experience supporting production ML systems, including model deployment, monitoring, and lifecycle management.
• Demonstrated track record of building reliable, scalable systems for fast-moving product teams.
• Excellent people leadership, coaching managers, and growing inclusive, high-performing teams.
• Strong communication skills and the ability to influence across organizational boundaries.
• Experience with data- or ML-heavy products; familiarity with geospatial data, image processing, or mapping technology is a plus.

Benefits

• Competitive salary with equity opportunities.
• Flexible work environment with autonomy over schedule.
• Remote work allowance and educational budget for skill development.
• Opportunity to contribute to mission-driven work tackling climate change and building resilient systems.
• Supportive, diverse, and inclusive team culture spanning multiple countries and nationalities.
• Annual in-person team gathering and optional collaborative meet-ups.

Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.