Technical Program Manager - Artificial Intelligence & Machine Learning

As a Technical Program Manager (TPM) in AI, you will operate at the critical intersection of cutting-edge research, advanced software engineering, and business strategy. You will act as the master orchestrator for complex AI programs, translating highly experimental modelling concepts (such as Vision-Language Models, Large Language Models, and Agentic AI workflows) into robust, scalable, and production-ready enterprise solutions. Your primary mission is to drive clarity from chaos, leading the R&D initiatives through the technology maturity gates targeting successful derisking and handover of the innovation to the product engineering team. You will engage various cross-functional engineering, research, and operations teams evolving the current processes and methodologies for best performance.

Responsibilities

Drive End-to-End Innovation: Plan, execute and deliver the multi-quarter roadmap for core AI innovation; Integrations & Release Management: Manage product release cycles, coordinating complex rollouts across hardware, software, operations, and quality assurance teams without disrupting critical production flows; De-Risk Innovation: Track and evolve processes around defining rigorous, structured criteria to evaluate and integrate emerging AI technologies, ensuring 90% of technical and deployment risks are eliminated before handing models off to engineering pipelines; Proactive Mitigation: Facilitate a proactive approach to risk mitigation and technical bottlenecks and dependencies, cross team and company horizons; Bridges the Gap: Serve as the translator between highly specialized AI Researchers/Data Scientists and all the other technical teams cross company horizons; Governance & Compliance: Partner with Legal, Security, and Compliance stakeholders to observe responsible AI practices and data privacy standards; Resource Optimization: Strategically plan and track compute resource allocation, budget utilization, and overall execution velocity

Requirements

Conceptual and practical understanding of machine learning lifecycles and neural network architectures; Familiarity with cloud and edge computing, distributed training, GPU orchestrations (i.e. Kubernetes), and model deployment frameworks; Proficiency in analysing operational workflows, designing tracking dashboards (e.g., Easy BI, JIRA, Big Picture, Tempo), and conducting data-driven post-mortems; 5+ years of experience leading complex, AI, cross-functional technical programs from zero-to-one in a fast-paced environment, waterfall and agility frameworks; Mastery of Agile/Scrum and modern hybrid project management frameworks, using AI automation tools to minimize manual coordination and administrative overhead; Exceptional communication skills with a proven track record of aligning highly technical teams and executive-level stakeholders toward shared deliverables; Highly capable to drive consensus and manage disagreements within the decision-making process

Nice to have

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field; Relevant industry certifications such as PMP, PMI-ACP or specialized AI project leadership credentials