AI Engagement/Delivery Manager
Turing
About Turing
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
About the Role
We are thrilled to invite a seasoned GenAI Delivery Manager to spearhead complex, high-impact projects for Fortune 500 clients, focusing on groundbreaking Large Language Model (LLM) solutions! In this dynamic role, you will oversee the entire lifecycle of GenAI engagements — from exciting proof of concept to enterprise deployment — serving as a strategic partner to engineering, product, and client stakeholders. You’ll be at the helm of execution excellence, risk mitigation, stakeholder alignment, and team leadership across cross-functional workstreams, making a real difference.
Responsibilities
Client Relationship and Communication:
- Lead discussions with clients and prospects to build AI product pipeline and expand to more processes.
- Prioritize client engagement, strengthen relationships, and manage expectations proactively.
- Act as a point of contact for client communication, feedback and escalations.
- Collaborate with stakeholders (internal & client-side) to align goals and expectations, priorities & requirements.
- Evaluate and select use-cases for new product development and unlock new revenue opportunities for the client
- 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.
Project Planning and Oversight:
- Own overall delivery to ensure quality, scope, and timelines are consistently met.
- Manage the big-picture program timeline (releases, phases, go-live plans) using engineering velocity and capacity inputs provided by the EM.
- 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 EM.
- Ensure robust business-facing documentation, including requirements documents, BRDs/PRDs, implementation plans, product roadmaps, and client-facing marketing or enablement materials.
- Lead change management sessions to train stakeholders on risks and issues in AI adoption and scaling.
- Ensure delivery decisions reflect an understanding of operational costs, ROI, and long-term business impact.
- Identify delivery risks, create proactive mitigation plans, and track program health across all milestones with keen insight.
- Acknowledge new client requests promptly, and partner with the EM to assess feasibility, capacity, and timeline impact before providing any commitment to the client.
Team Leadership and Coordination:
- Drive cross-functional alignment across engineering, product, and client success teams.
- Remove blockers for both the client & internal teams by ensuring smooth communication and effective prioritization flows.
People Management and Process Excellence
- Create onboarding requests for new team members and coordinate with all required parties—clients, HR, IT, security, and internal stakeholders—to ensure a smooth and timely onboarding experience.
- Ensure technical setup and access for new engineers (tools, credentials, environments, repositories) is completed.
- Conduct regular 1:1 meetings focused on support, expectations, delivery alignment, and general well-being.
- Oversee engineering attendance and availability, ensuring team members are reliable and present.
- Ensure all engineers accurately log their working hours in Jibble.
- Track leave requests and update sprint capacity forecasts accordingly.
- Address attendance or punctuality concerns professionally and document as needed.
- Coordinate with HR for onboarding and offboarding steps.
- Manage offboarding activities, including knowledge handover, ensuring access removal, and supporting smooth transitions.
Financial & Contract Management
- Manage project budgets, billing models, and profitability
- Track burn rate, forecasting, invoice accuracy, and margin performance.
- Ensure alignment with contractual terms, SLAs, and SOWs.
Exceptional Candidates May Have
- Experience with cutting-edge GenAI toolkits such as Langchain, LangGraph, or LlamaIndex.
- A strong background in consulting or direct client-facing roles with Fortune 500 enterprises.
- Hands-on exposure to prompt engineering and RAG-based (Retrieval-Augmented Generation) system implementations.
- Experience bridging the gap between ambitious business expectations and LLM technical capabilities.
Required Skills
- Program Leadership: 12+ years of experience in data science, ML, or technical delivery/program management roles.
- LLM & AI Expertise: A decent understanding of LLM technologies and enterprise applications.
- Delivery Management: A proven track record of managing high-impact AI/ML initiatives in client environments.
- Team Management: Experience leading mid-size cross-functional teams in fast-paced tech ecosystems.
- Stakeholder Management: Strong verbal and written communication skills; comfortable interfacing with senior client stakeholders.
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 Al 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:
- 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
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.