LISA ST JOHN
San Francisco,CA
Summary
§ Product leader specializing in AI on devices across Healthcare, Home, wearables, automotive, and audio. § Ex-Alibaba MD who owned a $1B+ P&L, led a 72-person org, and scaled a 10-brand across smart-device portfolio to 45% sales CAGR and 42% profit CAGR. § Define and ship cross-device assistant experiences with rigorous LLM/ASR/NLU evaluation, privacy/safety guardrails, and weekly prototyping/dogfooding. § Bridge Research, Eng, UX, and Legal to convert emerging model capabilities into reliable, low-latency, hands-free experiences at global scale.
Overview
17
17
years of professional experience
Work History
Managing Director and Head of AI Product
Alibaba Group
Shanghai, Global
01.2017 - 12.2022
- Owned $1B+ P&L; led 72-person org; scaled 10-brand across consumer goods and smart-device portfolio to 45% sales CAGR and 42% profit CAGR over six years.
- Defined product roadmap (home → IVI → wearables); prioritized use cases by latency budgets, intent/task success, and reliability.
- Shipped AliGenie features via weekly prototype cadence; launch of LLM-powered cross-device assistant experiences (voice + multimodal), using RAG-based retrieval for personalized recommendations; improved task success (+35 pts), reduced E2E latency and lifted WAU/retention (+28%).
- Designed and continuously refined rigorous evaluation methods and success metrics for AI models (ASR/NLU and LLM-based assistants), converting performance insights (latency, intent accuracy, hallucination rate, CSAT) into concrete product changes and launch criteria.
- Instituted guardrails, red-teaming, and incident playbooks; launch reliability ≥99.9%. Built SDK and onboarding playbooks.
- Standardized OEM/IVI integrations with Tier-1 278 global partnerships.
- Outcomes: AliGenie reached 2M units in 6 months; 35% market share; margin +5 pts YoY; on-time launches.
Head of Business Development and Marketing (Growth)
Interbrand
San Francisco
01.2012 - 12.2016
- Conducted 500+ in-depth interviews with Fortune 500 CEOs/CXOs and key decisionmakers to uncover growth levers and close high-value engagements, guided five Asian enterprises into Interbrand's Top 100 Best Global Brands, drove 300+ M business impact.
Consultant and Engagement Manager
McKinsey & Company
Beijing
01.2009 - 12.2012
- Led multi-stream strategy and digital transformation programs across tech, auto, retail, entertainment sectors, driving $500M+ business impact for Fortune 500 clients.
Fractional Chief Product Innovation and Partnership Officer (XR/Healthcare)
Immergo Labs
San Francisco
09.2025 - Current
- Lead product innovation - healthcare platform for emerging VR, AR, AI technologies, aligning roadmap and GTM to market demands.
Chief Product & Growth Officer (AI & Data Protocol)
Mind Network
San Francisco
06.2023 - Current
- Productized FHE-enabled AI/data protocol (zero-trust); defined telemetry and evaluation (accuracy-under-encryption, latency budgets).
- Secured 270+ ecosystem partnerships; $2M+ revenue in 12 months; scaled to 2M users; 24-hour trading volume $6.5-$9.2M.
- Built SDK and onboarding playbooks that cut time-to-first-value by 35%; established incident/rollback procedures.
Education
Artificial Intelligence - Data Science
UC Berkeley
Berkeley, CABiodesign Lab - wearable devices
Stanford Mussallem Center for Biodesign
Stanford, CAMBA - General Management Program and Disruptive Innovation
Harvard Business School
Boston, MADual-degree (Bachelors) - Science in International Economics and Computer Science
Tongji University and Ecole des Ponts ParisTec
Shanghai, ChinaSkills
- Product strategy
- Roadmap
- Cross-device interaction models
- LLMs
- RAG
- Diffusion
- On-device AI
- Edge AI
- Offline evaluation
- Online evaluation
- Telemetry
- Experimentation
- Safety
- Guardrails
- Red-teaming
- Privacy
- Security
- FHE
- Incident design
- Playbook design
- Rapid prototyping
- User research synthesis
- Ambient UX
- Hands-free UX
- OEM integrations
- IVI integrations
- AAOS
- Android Auto
- Certification
- OTA readiness
- Strategic partnerships
- GTM
- KPI
- QBR operating cadence
- Ethical risks
- Safety risks
- AI interactions
- User manipulation
- Biased responses
- Sensitive topics
- Safety protocols
- Adversarial testing
- Product development lifecycle
Volunteer Experience
- Mentor, Harvard Health Lab Accelerator
- Founder, E2 Growth Salon
Newsletter
https://e2growth.substack.com/
Timeline
Fractional Chief Product Innovation and Partnership Officer (XR/Healthcare)
Immergo Labs
09.2025 - Current
Chief Product & Growth Officer (AI & Data Protocol)
Mind Network
06.2023 - Current
Managing Director and Head of AI Product
Alibaba Group
01.2017 - 12.2022
Head of Business Development and Marketing (Growth)
Interbrand
01.2012 - 12.2016
Consultant and Engagement Manager
McKinsey & Company
01.2009 - 12.2012
Artificial Intelligence - Data Science
UC Berkeley
Biodesign Lab - wearable devices
Stanford Mussallem Center for Biodesign
MBA - General Management Program and Disruptive Innovation
Harvard Business School
Dual-degree (Bachelors) - Science in International Economics and Computer Science
Tongji University and Ecole des Ponts ParisTec