Product Manager
Hi, I'm Gabri Ansaldo.
I'm a Product Manager based in San Francisco, passionate about AI agents and generative AI. My work spans from leading $50M+ product portfolios at Motorola Solutions to building autonomous multi-agent systems that solve complex problems and workflows.
My journey took me from studying Industrial Engineering in the Netherlands, to pursuing dual master's degrees at TU Delft and Northeastern University, and eventually to Silicon Valley where I've been building at the intersection of AI and product.
I'm particularly excited about generative AI, agent orchestration, and the process of turning complex technical capabilities into products that people can use and trust.
Key Facts
Skills
Professional Journey
My work experience in product management
Product Manager
Apr 2024 - Jan 2026- Supported 20+ body-worn camera enterprise deals ($1M-$20M each) from local government agencies to nationwide, partnering with sales to prioritize features for workflows, customizations, and security
- Launched an Edge AI voice-tagging feature to reduce officer data entry time by 75% (20s to 5s), by defining requirements for voice-user-interface (VUI) and prioritizing offline capability for low-connectivity environments
- Retained $50M in annual revenue by executing a strategic End-of-Life migration for 100+ enterprise customers, achieving a 90% retention rate during the transition to the next-gen platform
- Established a 'Single Source of Truth' planning framework for the global portfolio of 8+ video devices, eliminating roadmap conflicts and scaling product culture by mentoring junior PMs
- Led the integration of Generative AI safeguards by implementing C2PA standards, securing the product against deepfake manipulation and ensuring evidentiary integrity
Product Manager Intern
Jun 2023 - Aug 2023- Validated the product-market fit for a B2B asset tracking solution by interviewing supply chain leaders, confirming a $5M market opportunity in the agricultural sector
- Designed UX mockups and prototypes for the tracking solution, translating 20+ raw customer interviews into an MVP
AI Research
Sep 2021 - Jan 2023- Developed an open-source framework for modeling and simulating multi-robot interaction in cooperative tasks
- Achieved 95% accuracy in a human-robot collaboration task by building a multi-agent RL framework
Academic Background
MSc in Engineering Management
Honors: Summa Cum Laude
GPA: 4.0/4.0
MSc in Mechanical Engineering
Track: Multi-Machine
Honors: Cum Laude
GPA: 8.15/10 (eqv. US 4.0/4.0)
BSc in Industrial Engineering & Management
Honors: Cum Laude
GPA: 8.5/10 (eqv. US 4.0/4.0)