Resume Snapshot
Nitesh Phabiani
SF Bay Area / Global • Hardware Systems & Product Development Leader
Summary
Hardware systems and product-development leader with 10+ years delivering wearable and consumer hardware from concept to mass production across Meta AI smart glasses and Amazon Lab126. Builds multidisciplinary teams, scalable execution mechanisms, and product-readiness gates that turn ambiguous prototype efforts into reliable, manufacturable products.
Core Competencies
- Wearable / AI glasses systems and consumer hardware leadership
- Prototype-to-production NPI, requirements, and architecture tradeoffs
- DFM/DFA, DOE, FMEA, reliability gates, validation matrices, and launch readiness
- Manufacturing test, FATP readiness, tooling, supplier, CM, ODM, and JDM execution
- Executive communication, decision cadence, hiring, mentoring, and org mechanisms
Experience Highlights
- Meta AI Smart Glasses: system TPM for next-generation wearable hardware, linking product design, systems, EE/RF, firmware, reliability, operations, and suppliers around shared requirements, risks, and build milestones.
- Amazon Lab126: led and mentored product design engineers and TPMs across Echo Dot speakers, portable home devices, connected printers, and integrated entertainment devices from concept through launch.
- SquareTrade: improved TV warranty gross margins by 5%+ and delivered approximately $50M in savings by reducing cost-to-service and repeat visits.
- Chiquita Banana: reduced delivery time and fuel costs by 15% through transportation-route optimization.
Selected Outcomes
- Created integrated execution models for wearable hardware development and product-readiness gates.
- Owned delivery of a multi-year, nine-figure companion-device strategy at Amazon Lab126.
- Advanced multiple internal hardware concepts to DVT through the "Build It" initiative.
- Recovered smart plug FPY from 89% to 97.4% by PVT exit.
- Reduced compact printer jam rate from 8.0% to 0.4% through system-level media-path improvements.
- Improved portable speaker runtime from 25 to 50 minutes under thermal load.
Contact
- Email: niteshphabiani@gmail.com
- LinkedIn: linkedin.com/in/niteshphabiani
- Portfolio: Back to main site