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Strategic Accounts, Frontier AI Labs

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Turing Portal
Full Time position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer
Job Description & How to Apply Below

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

About the Role

This is a strategic, customer‑facing role responsible for driving growth and delivering technically scoped programs inside frontier AI organizations. You will work directly with model developers, research teams, and infrastructure leads at some of the most advanced labs in the world. Your work will shape how these organizations scale large models, evaluate system behavior, train agents, and improve safety.

The scope includes both commercial and technical ownership. You’ll identify opportunities for collaboration, define the structure and terms of each engagement, and ensure successful delivery across internal and external teams. Success in this role depends on the ability to translate loosely defined technical objectives into executable programs — and to grow relationships by consistently delivering value in highly complex, evolving environments.

This role is designed for someone who can navigate early‑stage model development contexts, build trust with deeply technical teams, and drive meaningful commercial and strategic outcomes without relying on standard sales tactics.

Responsibilities
  • Manage commercial and technical relationships with frontier AI labs developing foundation models and related systems. Own overall account growth, strategic alignment, and delivery success.
  • Identify areas of opportunity within research and model development pipelines — including evaluation, safety, agentic workflows, or data generation — and structure these into scoped engagements.
  • Lead commercial negotiations and close new programs that align with both customer priorities and Turing’s AGI infrastructure.
  • Translate ambiguous or early‑stage technical objectives into executable work streams with clear scope, milestones, and delivery plans.
  • Coordinate internal teams across product, engineering, operations, and leadership to ensure execution quality and responsiveness to shifting technical requirements.
  • Maintain direct oversight of program performance across multiple accounts. Monitor delivery health, preempt blockers, and guide iteration based on real‑time feedback.
  • Capture customer insights and organizational signals to inform how Turing evolves its offering for model developers. Contribute to internal roadmaps, service design, and engagement playbooks.
  • Build and maintain technical credibility with research, infrastructure, and product leaders at customer organizations. Engage fluently in conversations around model scaling, safety, benchmarking, and deployment.
Requirements
  • Demonstrated experience owning strategic customer relationships with technical or research‑driven teams in AI, ML infrastructure, or model development environments.
  • Proven ability to originate and expand high‑value programs in complex, multi‑stakeholder accounts.
  • Skilled in scoping and managing delivery of technical programs involving ML systems, data pipelines, model evaluation, or applied research.
  • Strong understanding of generative AI systems, foundation model life cycles, and LLM‑adjacent workflows such as alignment, evaluation, and data efficiency.
  • Able to navigate ambiguity, define structure where none exists, and drive alignment across internal and external stakeholders.
  • Confident communicator capable of engaging C‑level sponsors, research leads, and engineering managers with clarity and precision.
  • Highly organized and execution‑oriented. Comfortable managing…
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