Staff Engineer / Engineering Manager

Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. The role involves leading the development of a world-class GenAI training platform, managing cross-functional teams, and ensuring scalable and secure engineering solutions.

Responsibilities:

• Define the technical vision and roadmap for verticals in the platform and product teams, ensuring tight alignment with Turing’s overall product and company strategy
• Anticipate and proactively solve scaling challenges related to our global developer network and AI systems, designing solutions that improve performance, observability, and reliability
• Translate complex internal infrastructure and AI/ML needs into actionable platform initiatives and robust architecture improvements
• Lead strategic planning sessions with Product, Infrastructure, and AI/ML leads to drive key business outcomes
• Manage and mentor a high-performing, geographically distributed teams, fostering a collaborative, highly autonomous, and outcome-driven culture
• Provide continuous feedback, coach for high performance, and amplify individual strengths across the team
• Partner with the People team to attract, retain, and grow top-tier, global engineering talent for Turing
• Champion a culture of engineering excellence, accountability, and innovation across all development teams
• Oversee end-to-end technical execution: design, implementation, testing, and rollout of core platform components
• Contribute to technical design reviews and the codebase when necessary, ensuring the highest technical quality and sound architectural choices
• Build advanced automation, monitoring, and CI/CD systems that dramatically improve engineering velocity and system reliability across the global platform
• Collaborate with Security, Finance, and Operations teams to align on governance, compliance, and cloud cost efficiency

Requirements:

• 2+ years of proven experience in engineering management and leadership roles, preferably within high-performance, product-driven environments OR experience leading projects with a 3-5 person team
• Extensive experience building and maintaining production infrastructure systems supporting multiple product verticals
• Demonstrated success in designing and deploying infrastructure that supports AI/ML capabilities
• Hands-on technical expertise in major cloud environments (AWS/GCP/Azure), Kubernetes, CI/CD, observability tools, and infrastructure-as-code tools (e.g., Terraform)
• Strong communication and stakeholder management skills across engineering, product, and operations in a remote setting
• Experience working in a rapidly scaling startup or platform-oriented company
• Strong understanding of security, compliance, and cost optimization in large-scale cloud environments