Turing is a startup building fully autonomous driving systems powered by an end-to-end AI stack and a large-scale foundation model.
<div class="content-intro"><h1><span style="font-family: helvetica, arial, sans-serif;"><strong><span style="font-size: 24pt;">About Turing</span></strong></span></h1> <p><span style="font-size: 10pt;">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.</span></p> <p><span style="font-size: 10pt;">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<a class="c-link c-link--underline" href="http://www.turing.com/" target="_blank" data-stringify-link="http://www.turing.com" data-sk="tooltip_parent"> www.turing.com</a></span></p></div><h2><strong>About the role: </strong></h2> <p>Turing is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization leading a GenAI project end-to-end from POC to full-scale implementation and you will be leading a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry-leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.</p> <h2><strong>Role responsibilities</strong></h2> <ul> <li>Client Relationship and Communication: </li> <ul> <li><strong>Lead discussions with clients</strong> and prospects to build AI product pipeline and expand to more processes.</li> <li>Prioritize client engagement, strengthen relationships, and manage expectations proactively.</li> <li>Act as a point of contact for client communication, feedback and escalations.</li> <li><strong>Evaluate and select use-cases </strong>for new product development and unlock new revenue opportunities for the client</li> <li>Participate in client’s internal stakeholder meetings (when applicable) to capture, clarify, and consolidate requirements across functions, ensuring all inputs are properly documented and mapped into actionable product needs.</li> </ul> <li>Tech Leadership:</li> <ul> <li>Provide technical direction to the engineering team on appropriate solutioning & system design for a given problem statement</li> <li>Align the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. </li> <li>Study new LLM research topics and engage in conversation on same with client stakeholders to showcase technical prowess and build value for Turing.</li> </ul> <li>Team Leadership and Coordination:</li> <ul> <li><strong>Drive cross-functional alignment </strong>across engineering, product, and client success teams.</li> <li><strong>Remove blockers </strong>for both the client & internal teams by ensuring smooth communication and effective prioritization flows.</li> <li>Conduct regular <strong>1:1 meetings</strong> focused on support, expectations, delivery alignment, and general well-being.</li> </ul> <li>Project Planning and Oversight: <ul> <li>Manage the <strong>big-picture program timeline</strong> (releases, phases, go-live plans) using engineering velocity and capacity inputs provided by the Engagement Manager.</li> <li>Co-own delivery planning by managing the program-level timeline and facilitating Sprint Planning sessions ensuring release milestones and sprint goals are aligned with business priorities, clearly defined requirements, and the engineering capacity and feasibility inputs provided by the Engagement Manager.</li> </ul> </li> <ul> <li><strong>Own overall delivery</strong> to ensure quality, scope, and timelines are consistently met.</li> <li>Ensure robust <strong>business-facing documentation</strong>, including requirements documents, BRDs/PRDs, implementation plans, product roadmaps, and client-facing marketing or enablement materials.</li> <li>Ensure delivery decisions reflect an understanding of operational <strong>costs, ROI, and long-term business impact</strong>.</li> <li><strong>Identify delivery risks</strong>, create proactive mitigation plans, and track program health across all milestones with keen insight.</li> <li><strong>Acknowledge new client requests promptly and partner with the Engagement Manager to assess </strong>feasibility, capacity, and timeline impact before providing any commitment to the client.</li> </ul> </ul> <h2><strong>Required skills</strong></h2> <ul> <li>Excellent communication skills & stakeholder management to effectively collaborate with client SMEs</li> <li>Entrepreneurial & founders mindset to own end-to-end GenAI project deliveries and guide customers through various phases</li> <li>10+ years of professional experience with at least 4+ years in driving Machine Learning & AI projects</li> <li>Good understanding of the latest GenAI agentic designs and frameworks like Langchain, Langgraph, etc.</li> <li>Understanding of Cloud services including Azure, GCP, or AWS</li> <li>Understanding of Agile methodologies and project management tools like JIRA, Confluence.</li> </ul> <h3><span style="font-size: 14pt;"><strong>Compensation Range</strong>: $240k - $260K<br><br>Location: Remote or NYC </span></h3><div class="content-conclusion"><h2><strong>Values</strong></h2> <ul> <li> <p><strong>We are client first</strong>: We put our clients at the center of everything we do, because their success is the ultimate measure of our value