Principal Technical Program Manager

About the role

At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. As a Principal Technical Program Manager you will be a key technical leader within our advanced analytics and AI group. You will help manage the design, build, and deployment of sophisticated machine learning systems-particularly LLM‑driven solutions-that solve high‑value, real‑world problems for enterprise clients. You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI. Your work will directly contribute to AI systems that have the potential to transform industries-and society.

Responsibilities

• Technical Program Leadership: Drive the full lifecycle of complex, cross-functional technical programs from inception to launch, ensuring alignment with overall company strategy and adherence to established timelines and budgets
• Roadmap and Planning: Define and execute detailed program plans, prioritizing initiatives in collaboration with product and engineering leadership to deliver against a clear technical roadmap, balancing innovation with customer needs and business objectives
• Cross-Functional Orchestration: Lead and coordinate the efforts of engineering, product management, machine learning scientists, and design teams, ensuring seamless collaboration and delivery of successful outcomes
• Risk & Dependency Management: Proactively identify, assess, and mitigate program risks and dependencies, communicating effectively and driving resolution of roadblocks to maintain program momentum
• Process & Efficiency: Champion continuous improvement of program management processes, methodologies, and tools, fostering a culture of efficiency, accountability, and predictability
• Communication and Stakeholder Management: Provide regular and transparent program status updates, risk assessments, and dependency reports to stakeholders at all levels, using clear, concise, and impactful communication
• Strategic Influence: Influence cross-functional decision-making through data-driven insights, technical expertise, and a deep understanding of complex AI system architectures
• Team Enablement: Build and maintain a framework to equip program teams with the necessary tools, processes, and information to ensure success and maximize efficiency
• AI Platform Focus: Specifically manage programs related to the core AI platform, ensuring efficient integration of models and delivery of proactive, intelligent features to our users

Requirements

• Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science or a related discipline
• 12+ years of experience in technical program management with a proven track record of leading large-scale, complex programs in a fast-paced, high-growth environment
• Demonstrated ability to define and execute program strategies and roadmaps, aligning with business objectives
• Deep understanding of software development methodologies (Agile, Scrum, Kanban) and experience applying them to AI/ML projects
• Exceptional communication, interpersonal, and presentation skills, with the ability to influence and build consensus across diverse teams
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making
• Experience working in the AI sector with machine learning/AI technologies experience with LLMs is highly preferred
• Experience with cloud platforms (AWS, Azure, or GCP) is highly desirable
• Master's degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
• Experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multi‑agent frameworks, GPT‑based systems)
• Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
• Python experience focused on machine learning and NLP
• Why Join Us?
• A high-performance culture
• State-of-the-art technology
• Experience world-class leadership
• Scale of impact and purpose
• A competitive salary and a huge growth trajectory

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