EsmaeilSafaee
Product leader and 2x founder with deep experience building AI-native platforms across energy, media, robotics and spatial computing. Led the design and execution of AI infrastructure and real-time systems that scaled to + 100K users. Builder at heart with a track record of going from 0 → 1 and driving measurable business outcomes in regulated and frontier technology domains.
Professional Experience/ 01
Co-Founder
Melo
San Francisco, CABuilt an AI-first video podcast platform leveraging cutting-edge LLMs and real-time processing to transform content creation and discovery.
Key Achievements:
- Architected a full-stack AI ecosystem integrating GPT-4, Claude, LangChain, and ElevenLabs, creating a content intelligence layer that achieved 85% accuracy in semantic understanding and recommendation relevance.
- Engineered real-time transcript and tagging infrastructure with <100ms latency at scale, processing 10,000+ hours of content monthly while enabling personalized discovery that increased user session time by 47%.
- Designed comprehensive growth loops and analytics dashboards tracking 12+ key metrics; implemented A/B testing framework that boosted conversion by 65% and reduced content production time by 35%.
- Led cross-functional agile team of 7 (engineers, ML specialists, designers, content ops); shipped MVP in just 7 weeks and scaled to v1 in 3 months with 99.8% uptime and industry-leading sub-$0.03/min processing cost.
- Developed and optimized user acquisition strategies through product-led growth initiatives that reduced CAC by 42% while maintaining high-quality user cohorts with 22% higher LTV than industry average.
- Leveraged SQL, Python, and Amplitude to build robust data analytics pipelines that provided actionable insights into user behavior, content performance, and monetization opportunities.
Senior Product Manager, Energy Software Platforms
Omnidian
San Francisco, CALed product strategy for Tesla Energy's energy optimization platform serving 300K+ homes and businesses across North America, managing a complex distributed system processing 1.2B+ data points daily.
Key Achievements:
- Designed and shipped ML-powered energy optimization features leveraging reinforcement learning and time-series forecasting, reducing grid demand by 20% during peak hours and generating $18M/year in customer savings.
- Executed comprehensive competitive analysis, market discovery research across 5 key segments, and NPS redesign initiative that grew user retention by 15 percentage points and drove 32% increase in net new installations.
- Directed cross-functional collaboration between data science, engineering, and UX teams to implement predictive energy management features that reduced implementation complexity by 40% while improving system reliability.
- Established data-driven product roadmap processes that increased delivery velocity by 35% and aligned engineering execution with business-critical KPIs.
- Conducted rigorous user research and persona development that informed monetization strategy, resulting in 28% higher ARPU and improved subscription renewal rates across both consumer and enterprise segments.
- Utilized SQL, Python, and Tableau to analyze large-scale energy usage datasets, creating interactive dashboards that identified optimization opportunities and guided feature prioritization across the product portfolio.
Product Manager, AI & IoT Systems
Omnidian
San Francisco, CASpearheaded the product vision and execution for Tesla Energy's core software platform, transforming IoT data streams into actionable intelligence and automated optimization.
Key Achievements:
- Led development of ML-driven optimization suite that improved energy efficiency by 25%, generating $18M in annual customer savings through smart load balancing and predictive energy management.
- Pioneered IoT data integration architecture handling 500M+ daily signals with 99.99% reliability, enabling real-time decision making and anomaly detection that reduced system failures by 32%.
- Aligned cross-functional teams of 25+ across engineering, data science, design, and business units to advance Tesla's energy autonomy vision and long-term product roadmap.
- Implemented agile product development methodology that reduced time-to-market by 40% and improved feature quality metrics across the platform.
- Created and governed KPI framework for measuring product success, with balanced metrics covering user acquisition, retention, feature adoption, and customer satisfaction that guided prioritization decisions.
- Utilized Productboard to manage complex product roadmaps across multiple teams, while leveraging Altair for advanced data visualization and simulation of energy usage patterns.
Product Manager, XR Interfaces & Spatial Computing
Oculus VR
San Francisco, CALed the product strategy and execution for next-generation spatial computing interfaces on Oculus Quest, pioneering new interaction paradigms that shaped the future of VR/AR experiences.
Key Achievements:
- Directed cross-functional teams to deliver revolutionary ML-powered computer vision features for hand tracking and gesture recognition, boosting user engagement by 40% and establishing new benchmarks for natural interaction in VR.
- Developed spatial computing frameworks that reduced latency by 30% and increased tracking accuracy by 45%, leading to significant improvements in user comfort and immersion metrics.
- Drove product vision that directly influenced Meta's long-term spatial computing roadmap, with 3 patented innovations that became core to Quest platform capabilities.
- Led user research and iterative prototyping processes that identified critical UX improvements, resulting in 25% higher completion rates for first-time VR users and establishing design patterns still used across the industry.
- Balanced rapid iteration with ethical considerations and safety requirements through structured frameworks that ensured inclusive design while maintaining aggressive growth targets.
Education/ 02
Master of Science - MS in International Business
Jan 2018 - Jan 2019Hult International Business School
Grade: 4.0. Activities and societies: Future Leader Scholar, Global Strategy Club, Entrepreneurship & Innovation Club. Specialized in the business and commercialization of robotics, focusing on global market expansion, fundraising, and scaling deep-tech ventures. Developed go-to-market strategies for humanoid robotics and automation startups, leveraging financial modeling and strategic partnerships. Led consulting projects on AI-driven robotics adoption across industries and engaged with investors and industry leaders on the future of robotics and automation.
Relevant Courses:
Bachelor's in Mechatronics, Robotics, and Automation Engineering
Sep 2013 - Aug 2016Sharif University of Technology
Grade: Magna Cum Laude. Activities and societies: Robotics Research Lab, AI & Machine Learning Club, IEEE Robotics & Automation Society. Specialized in robotics, AI-driven automation, and control systems. Conducted research on machine learning for predictive modeling, neural networks, and energy-efficient automation. Published "Small-Scale Building Load Forecast based on Hybrid Forecast Engine" in Springer, focusing on AI-driven load prediction for smart infrastructure. Designed and developed autonomous robotic systems, worked on bipedal locomotion, and competed in international robotics challenges.