Director of AI Product - Agentic Platforms
Directs the strategy and development of platforms for building and managing autonomous AI agents.
Overview
This career focuses on the architectural level of artificial intelligence, moving beyond simple chatbots to complex systems capable of planning and executing multi-step tasks. Daily work involves navigating the high-speed evolution of large language models and translating research breakthroughs into stable platform features. The role requires a constant balancing act between fostering innovation and implementing the governance required for autonomous software to operate safely within enterprise environments.
Success in this field depends on a deep technical understanding of agentic workflows combined with strong commercial intuition. The rhythm of the work is dictated by rapid development cycles and frequent cross-functional collaboration with engineering, data science, and legal teams. Professionals who thrive here enjoy solving abstract problems related to system autonomy, reliability, and human-in-the-loop oversight mechanisms.
Responsibilities
- Define the long-term product vision for agentic development platforms and orchestration frameworks.
- Prioritize the development of core infrastructure such as agent memory, tool-use capabilities, and reasoning engines.
- Collaborate with engineering leadership to determine technical feasibility and architectural requirements for scalable AI systems.
- Establish benchmarking and evaluation standards to measure the performance and accuracy of autonomous agents.
- Direct the integration of security and compliance protocols to ensure ethical AI deployment.
- Engage with enterprise customers to identify high-value use cases for autonomous agent technology.
- Monitor the competitive landscape of AI research to maintain the platform's technological edge.
Qualifications
- Extensive experience in product management within the artificial intelligence or machine learning sectors.
- Proven track record of launching and scaling developer platforms or complex SaaS infrastructure.
- Deep technical literacy regarding large language models, prompt engineering, and RAG architectures.
- Strong leadership skills with experience managing cross-functional teams of engineers and designers.
- Advanced degree in Computer Science, Data Science, or a related technical field.
- Demonstrated ability to translate complex technical concepts into clear business strategies.
Nice to have
- Previous experience contributing to open-source AI projects or agentic frameworks.
- Specific expertise in autonomous system safety, alignment, or reinforcement learning from human feedback.
- Background in building ecosystems for third-party developers or API integrations.
- Familiarity with containerization and cloud infrastructure orchestration for high-compute workloads.
Work environment
- The role is typically based in high-growth technology hubs with a hybrid office presence.
- Teams operate in an agile, fast-paced environment characterized by frequent pivots based on research updates.
- Standard working hours often extend during critical launch periods or international conferences.
- Communication is heavily reliant on documentation, technical specifications, and collaborative software tools.
- Occasional travel is required for industry events and high-level client consultations.
Benefits & growth
- Compensation typically includes a significant base salary supplemented by performance bonuses.
- Equity packages or restricted stock units are standard in these senior leadership roles.
- Career progression often leads to executive positions such as VP of AI or Chief Product Officer.
- Professional development is supported through access to cutting-edge research and global AI summits.
- The role offers high visibility within the technology sector as a pioneer in autonomous systems.
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