About Turing
Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.
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 workstreams 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 lifecycles, 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 concurrent workstreams with attention to detail, delivery health, and long-term growth strategy.
Advantages of joining Turing:
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
- Full-time remote opportunity
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
