The Director - Product Technology at the company will lead the technical direction and productisation of the shared agentic-AI platform, focusing on enterprise and government customers. You will help turn advanced AI capabilities into secure, reliable, and scalable experiences, connecting product ambition with engineering execution and helping teams move from early validation to dependable deployment at scale.
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Responsibilities
- Set the technical direction and execution roadmap for the company’s shared agentic-AI platform.
- Evolve the architecture across agent runtime, orchestration, tool execution, governance, APIs, identity, multi-tenancy, security, and sovereign deployment.
- Partner with Product, Design, and Data & AI to turn models, agents, and prototypes into evaluated, usable, secure, observable, and supportable platform capabilities that solve real customer needs.
- Lead the platform’s enterprise integration strategy, including interoperability with strategic technology ecosystems.
- Establish strong engineering practices across development, release, and production, supported by automated evaluations, observability, rollback, and clear operational ownership.
- Shape the engineering capabilities and capacity required to deliver the roadmap, working across Engineering, Data & AI, Platform, Security, and Design.
- Improve platform reliability, scalability, performance, security, and AI economics across enterprise, sovereign, hybrid, and customer-controlled deployments.
- Raise technical and product judgment through strong reviews, clear expectations, coaching, and shared engineering practices.
- Use production behavior, incidents, customer feedback, and adoption signals to continuously improve the platform and technical roadmap.
Qualifications
- Senior product-engineering leadership experience building complex enterprise platforms, developer products, or multi-tenant SaaS.
- Strong hands-on technical credibility in architecture, system design, design or code review, and complex production diagnosis.
- Deep understanding of distributed systems, APIs, identity, security, multi-tenancy, reliability, observability, and production operations.
- Experience shipping AI-powered products, with practical knowledge of agents, RAG, evaluation, grounding, safety, latency, and cost.
- Experience guiding products from early discovery and prototypes through launch, production operation, iteration, and scale.
- Strong product judgment grounded in user and developer workflows, usability, adoption, and measurable value.
- A track record of leading across organizational boundaries and bringing clarity to complex technical and commercial trade-offs.
- Clear communication with engineers, researchers, executives, customers, and strategic partners.
Nice to Have
- Experience with agent platforms, copilots, workflow systems, developer platforms, or API ecosystems.
- Exposure to sovereign, regulated, government, hybrid, or on-premises deployment environments.
- Experience with AI evaluation, model observability, inference optimization, capacity planning, FinOps, or cost governance.
- Experience leading product engineering across multiple locations.
This role requires a performance-driven and inquisitive mind with the agility to adapt to ambiguity, eager to explore opportunities for meaningful collaborations with stakeholders and aspirations to create unique customer-centric solutions.
Working Conditions
- An open, diverse, and inclusive environment with a focus on personal growth and groundbreaking innovations.
- Opportunities for outstanding learning, development, and growth through structured training programs and high-tech projects.
- A competitive remuneration package with healthcare, education support, leave benefits, and more.
