Technical Product Manager
Required skills
Technical degree (computer science, engineering, or related) with prior experience in a technical role, 4+ years in technical product management roles in enterprise software/SaaS, Proven track record working with large, complex enterprise customers at scale, Deep understanding of AI and platform development with genuine passion for the space, Exceptional analytical and systematic thinking – ability to synthesise massive volumes of complex information, Strong communication skills and confidence to challenge senior leadership constructively, Evidence of rigorous analytical work through high-quality documentation (we'll ask for samples)
Preferred skills
Use technical knowledge to inform requirements, not dictate engineering solutions, Can lead complex customer conversations and extract signal from noise, Produce clear, well-researched specs that demonstrate thorough stakeholder synthesis, Balance accommodating customer needs with maintaining broader product vision, Are comfortable with ambiguity and turn it into actionable clarity, Navigate between tactical delivery and strategic "true north" – you know where we're ultimately headed while executing what's needed now, Have a strong personality without being defensive – independent thinking is essential
Technologies
LLMs, generative AI, classical symbolic technology, AI platform development
Responsibilities
Own the developer platform product from strategy through execution, Lead customer discovery with enterprise clients, extracting accurate functional requirements from ambiguous needs and translating them into actionable product direction, Define product vision and roadmap that balances individual customer requests with broader platform scalability and long-term strategic goals, Apply deep technical understanding of AI and platform development to set realistic requirements, Manage complex stakeholder dynamics across engineering, sales, research, and leadership, Create rigorous product documentation (PRDs, specs, strategy documents) that synthesises research and stakeholder input with analytical clarity, Partner closely with engineering teams, understanding the boundary between requirements and implementation without over-specifying solutions, Navigate enterprise sales cycles and multi-stakeholder complexity while maintaining product vision against competing pressures
Seniority
Not specified
Domain
AI, enterprise software, SaaS, product management