Software Engineering Manager

Based in San Francisco, California, 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. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

We're hiring an Engineering Manager to lead and grow a team of engineers while staying close to the technology. You'll own your team's delivery, health, and growth — hiring and developing engineers, driving execution, and partnering across functions — without losing the technical judgment that earns your team's trust. This is a people-leadership role for someone who has built and run high-performing teams and brings a strong engineering foundation to the job.

• →Own your team's delivery, health, and growth — planning, execution, and shipping across one or more teams.
• →Hire, grow, and retain engineers; run 1:1s, performance management, and career development.
• →Set and raise engineering standards, processes, and ways of working.
• →Provide technical direction and pressure-test decisions without micromanaging.
• →Partner with product, design, and leadership; manage up and across.
• →Own team-level operational excellence, including incident and on-call ownership.

• 8–12 years of total engineering experience, including 3+ years of direct engineering leadership (people management) — owning a team's delivery, growth, and performance, not solely tech-lead/IC seniority.
• A track record of hiring, growing, and retaining engineers, with positive retention and team-health outcomes.
• Delivery ownership across one or more teams and strong cross-functional partnership with PM, design, and leadership.
• A strong underlying engineering foundation comparable to a Staff Engineer: driving architecture and technical direction across multiple services or teams.
• Deep distributed systems and cloud-native architecture knowledge; engineering judgment retained alongside the management role.
• Demonstrated impact on multi-team technical direction, migrations/modernization, reliability/performance, and engineering standards.
• A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily.

• AI platform architecture experience.
• Agentic systems / LLM infrastructure experience.

• We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.

• We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection

• We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.