Head of Platform Engineering, Enterprise AI

ABOUT TURING

• Turing’s mission is to accelerate superintelligence to drive real economic
• progress. Headquartered in San Francisco, Turing works with frontier AI labs to
• generate high-quality datasets, reinforcement learning environments, and
• frontier research benchmarks that improve model capabilities in software
• engineering, enterprise knowledge work, and advanced STEM reasoning. In software
• engineering, Turing is the largest and longest-running data provider in the
• category. Turing also works with Fortune 500 enterprises across financial
• services, life sciences, healthcare, retail, automotive, and CPG to build and
• deploy end-to-end agentic AI systems inside mission-critical workflows. By
• operating on both sides, Turing closes the loop between frontier research and
• enterprise deployment, turning real-world deployment signals into better data,
• evaluations, and more capable models. Learn more at www.turing.com

WHY JOIN ENTERPRISE AI?

• Enterprise AI is building the technical platform that enables enterprises to
• deploy advanced AI systems in production.
• As Head of Platform Engineering, you will lead the technical platform team and
• help scale the organization as it moves from early platform development toward
• enterprise adoption. You will work closely with architecture and delivery
• leaders to establish the technical foundations, operating model, and product
• capabilities required to support demanding enterprise customers.

This is a high-ownership role for a technical leader who can build

• production-grade infrastructure, hire and develop a strong team, and help turn
• an internal platform into a reliable enterprise product.

BUILD AND SCALE THE PLATFORM

• Set the technical direction for a model-agnostic, multi-tenant enterprise AI
• platform and establish the architecture, reliability, and operating foundations
• required for scale.

LEAD PLATFORM ENGINEERING

• Build and lead a high-caliber platform organization. Hire quickly at a high bar,
• develop the team, and create clear ownership across platform engineering,
• architecture, evaluation, and delivery.

ENABLE ENTERPRISE DEPLOYMENT

• Develop platform capabilities that support secure, observable, and reliable AI
• deployments across enterprise environments, including customer-controlled
• infrastructure where required.

PARTNER ACROSS ARCHITECTURE AND DELIVERY

• Work closely with architecture and delivery leaders to translate customer needs
• into platform priorities, establish clear technical seams, and ensure the
• platform supports real-world enterprise deployments.

DRIVE PRODUCTIZATION

• Help evolve the platform from an internal capability into a reliable, externally
• deployable enterprise product. Establish clear standards for performance,
• security, observability, evaluation, and operational readiness.

DEMONSTRATE CUSTOMER VALUE

• Partner with delivery teams to support client use cases and ensure that platform
• deployments are evaluated against measurable business and technical outcomes.

THE ANTI-SELL

• Hands-on technical leadership: This is not a role for someone who has been on a
• pure management track for five or more years. You must have personally written
• production code within the last two years.
• Enterprise-grade complexity: The platform must support multi-tenant enterprise
• software, secure deployments, customer-controlled environments, and demanding
• enterprise requirements.
• High hiring and execution bar: You will be expected to hire quickly, maintain a
• high bar, and lead a growing platform organization while delivering against an
• ambitious product roadmap.
• Security and regulatory accountability: The role requires deep experience with
• enterprise security, identity, and hosting, including experience working with
• regulated customers.
• Breadth of experience: Candidates with a solely consumer or solely services
• background may not be a fit for this role.

Deep platform engineering experience: Typically 15+ years in software

• engineering, including at least five years leading platform or infrastructure
• teams that have shipped multi-tenant enterprise software.
• Multi-tenant and self-hosted architecture expertise: Proven experience designing
• and operating platforms for enterprise customers, including self-hosted or
• customer-controlled deployments.
• Hands-on LLM systems expertise: Direct experience with LLM orchestration,
• evaluation, serving, and fine-tuning, as well as the ability to contribute
• production code.
• Productization experience: A track record of taking a platform from an internal
• tool to an externally licensed or deployable product.
• Enterprise security and team leadership: Deep knowledge of enterprise security,
• identity, and hosting with regulated customers. You should also have a proven
• record of hiring quickly at a high bar and leading platform or infrastructure
• teams.

Experience building or scaling a platform inside a services or

• forward-deployed organization.
• Experience in financial services or another highly regulated industry.
• Experience supporting enterprise AI deployments across complex customer
• environments.

VALUES

• 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.

ADVANTAGES OF JOINING TURING

• Work at the frontier of AI, helping the world’s leading AI labs improve their
• most advanced models by building expert datasets, RL environments, and
• first-of-a-kind benchmarks.

Contribute to leading-edge AI research and showcase your work at top

• conferences such as ICLR, ICML, and NeurIPS.
• Bring frontier AI innovation to the enterprise, applying lessons learned from
• leading AI labs to solve real-world business challenges.

Collaborate with and learn from exceptional colleagues with deep AI

• experience from Google, Meta, Amazon, and other leading technology companies.
• Move at the pace of AI innovation, with the speed, ownership, and impact of a
• startup.
• For applicants from the European Union, please review Turing's GDPR notice here