Customer Success Manager
Global Brain Corporation
Job Level
Lead
About the role
- Lead Turing’s Generative AI practice, ensuring the execution of high-impact programs with enterprise clients.
- Interact with clients to ideate and design AI solutions to help solve enterprise problems
- Own the oversight for design, build and deployment of GenAI-powered applications, including agentic systems, copilots, reasoning workflows, and enterprise orchestration frameworks.
- Lead and manage Generative AI and Forward-Deployed Engineering teams, ensuring delivery excellence and clear growth opportunities while staying closely engaged in critical program and design decisions.
- Build trusted partnerships with senior enterprise stakeholders, shaping program objectives and aligning with their business transformation and productivity goals.
- Define and enforce rigorous engineering standards, methodologies, and quality management processes to ensure reliability, scalability, and security across enterprise GenAI applications.
- Translate engineering & delivery experience into repeatable playbooks and best practices that establish Turing as a trusted partner for deploying applied GenAI solutions at scale.
- Partner with commercial teams to scope, shape, and resource programs, ensuring engineering capability scales with client demand.
- Act as the accountable executive for engineering & delivery excellence in Generative AI applications, representing Turing with credibility and authority to senior external stakeholders.
Requirements
- 15+ years of experience in the engineering & delivery of technology services, with at least 5 years leading large-scale, client-facing engineering or applied AI practices.
- Prior accountability for delivery outcomes at enterprise scale budgets, teams, and programs spanning multiple regions or business units.
- Deep expertise in applied GenAI systems, including agentic workflows, copilots, multimodal integration, orchestration frameworks, and enterprise deployment.
- Proven record of building and managing senior technical teams (including engineering managers, architects, and data leaders).
- Hands-on familiarity with applied Generative AI, including agents, copilots, multimodal integration, or large-scale enterprise deployments.
- Track record of working directly with C-level stakeholders in Fortune 500 or equivalent enterprises
- Experience shaping consulting-style or services-led programs where delivery quality and client satisfaction were the growth drivers.
- Strong business acumen and the ability to balance delivery excellence with commercial growth priorities.
- Demonstrated ability to scale operations while preserving technical depth and client intimacy.
- Exceptional communication skills and credibility in executive-level interactions with enterprise clients, internal leadership, and external partners.
- Background in Computer Science, Data Science or relevant field, with a strong preference for advanced degrees and/or recognized thought leadership in AI, demonstrated through patents, publications, industry awards, or equivalent credentials.
