Technical Product Manager (AI & Systems)

Key Responsibilities

• Own product vision and roadmap for core platform capabilities, balancing customer needs, technical feasibility, and long-term strategy
• Translate complex customer and system requirements into clear, actionable product direction, including user workflows and experience design, functional and non-functional requirements, and system constraints, dependencies, and trade-offs
• Lead engineering teams through end-to-end execution, including planning, prioritization, and sequencing, architecture and technical design reviews, and delivery, deployment, and iteration in production
• Act as the hands-on technical product authority, engaging directly with system architecture and data flows, APIs and service contracts, and performance, reliability, and scalability considerations
• Partner closely with AI/ML, infrastructure, and frontend/backend teams to shape product interfaces and system design, ensure features are deployable and operable in real environments, and drive clarity and alignment across teams
• Own deployment readiness and launch execution, including validation in customer environments, risk identification and mitigation, and feedback collection and prioritization post-launch
• Work directly with customers and internal stakeholders to gather feedback and validate product decisions, balance user experience with engineering realities, and ensure the product delivers measurable value
• Maintain a high bar for product quality, usability, reliability, and security, particularly in safety-critical systems

Required Qualifications

• 8+ years of experience as a software engineer, systems engineer, or ML engineer, with significant hands-on production experience
• Demonstrated track record building and shipping large-scale, complex systems
• Experience owning product direction or leading major technical initiatives
• Strong understanding of distributed systems, data pipelines, and modern software architectures
• Ability to reason deeply about user experience while maintaining technical rigor
• Experience leading teams through production deployments
• Excellent written and verbal communication skills
• Comfort making decisions and trade-offs in ambiguous environments

Preferred Qualifications

• Experience with AI-driven or data-intensive products
• Background in safety, security, or physical-world systems
• Experience with cloud and edge deployments
• Experience in startup or high-growth environments
• Familiarity with UX design and user research practices

What Success Looks Like

• Product direction is clear, prioritized, and grounded in real customer needs
• Engineering teams execute with clarity and minimal friction
• Features ship cleanly and deploy reliably in production
• User experience improves without compromising system performance
• Product decisions consistently balance usability, scalability, and reliability