San Francisco, CA

AI Product Manager

I transform enterprise challenges into AI products that drive real impact through product strategy, agentic systems, and technical depth.

Lisa Pederson

Experience

Chevron: Enterprise AI 2025 – Present
AI Product Manager

Define vision, strategy, and roadmap for an enterprise-scale LLM-powered recommendation engine. Leads a cross-functional team of AI engineers and applied scientists from problem framing through development.

MIT AI Conference 2026 2026 – Present
Co-Chief Operating Officer

Spearheading speaker selection and agenda design for the MIT AI Conference's 10th anniversary, drawing top researchers, founders, and industry leaders.

Massachusetts Institute of Technology 2024 – 2025
Master's in System Design and Management

Advanced coursework spanning machine learning, product design, software architecture, innovation strategy, and systems thinking across MIT's School of Engineering and Sloan School of Management.

Chevron 2014 – 2024
Project Manager > Product Manager

Started in project management, grew into advising the Global Supply Chain Leadership Team, and ultimately led digital transformation projects to optimize routes and enhance transportation operations as a Product Manager.

Portfolio

Summer 2026

Coffee Shop Finder + Friend Invites

Web Application

coffee planner · agent concierge · friend invites

I wanted a more personal way to find cafes than searching on Google Maps. I created a neighborhood coffee shop finder to discover cozy, work-friendly coffee shops, see nearby parks, and plan an easy weekend meetup around them.

  • Discover work-friendly cafes with Wi-Fi, outlets, hours, maps, and AI-generated summaries.
  • See nearby parks and use the map to plan a cafe-plus-walk outing.
  • Pick a cafe, invite a friend, collect an RSVP, and save the invite to your calendar.

Built with Claude Code x Codex · Drawings by me using Figma

CodexClaude CodeSupabaseFastAPIVercelLangGraphMapbox
Architecture diagram of the coffee shop finder: a user query flows from the agent client through the LangGraph service to Claude Haiku 4.5 and Supabase, with LangSmith evals and tracing and a build-time enrichment pipeline that seeds, enriches, and computes walk distances.
Architecture snapshot: the agent path from user query to concierge picks, with the data, infra, and evaluation layers behind it. View architecture details →
Spring 2026

Monet in Motion: An AI-Powered Interactive Art Exhibit

Interactive AI

hand tracking · virtual gallery · gesture controls

I built a virtual Claude Monet gallery where your hand controls the experience, using webcam-based hand tracking to render visual effects and move through the collection.

  • Track hand movement through the browser with MediaPipe Hand Landmarker.
  • Use gestures to navigate the gallery and control the visual experience.
  • Explore interaction patterns that could translate to fitness, therapy, and patient support.

Built with Claude Code · Powered by MediaPipe · Deployed on Vercel

Claude CodeMediaPipeVercel
Spring 2026

Curated Tech Event Recommendations in San Francisco

Web Application

event curation · personal ranking · San Francisco

After scrolling through Luma pages and event emails, I put Codex to work on a tool that recommends the next two weeks of San Francisco tech events based on my interests.

  • Scan upcoming events and make the strongest recommendations easier to spot.
  • Filter for the rooms most likely to match my AI, product, and builder interests.
  • Keep the output lightweight enough to check quickly before deciding where to go.

Built with Codex · Designed with Claude · Deployed on Vercel

CodexClaudeVercel
2025–2026

AI Voice Tutors, 2025 vs. 2026

Voice AI

language practice · voice agents · RAG study guides

In August 2025, I built a multi-language voice agent using ElevenLabs and OpenAI's GPT-5 to automatically match a user's conversation to the right language agent, complete with RAG-powered exam prep and conversation guides for French, Spanish, and Korean.

In April 2026, I rebuilt the same voice-based language tutor eight months later with the same concept and prompts to see the effects from the newest model, Sonnet 4.6. The difference in latency, naturalness, and error recovery is the clearest demo I have seen to show how fast this space is moving.

  • Routes conversations into French, Spanish, or Korean practice with language-specific agents.
  • Pairs RAG-powered exam prep with guided conversation practice and study content.
  • Compares the jump from practical voice assistance to more natural, dialect-aware coaching.

2025: OpenAI GPT-5 x ElevenLabs Turbo · 2026: Claude Sonnet 4.6 x Eleven v3

ElevenLabsClaude Sonnet 4.6RAGOpenAIVoice AI
Statura posture sensor
Spring 2025

Statura, a Posture Sensor with Haptic Feedback

Product Design

hardware prototype · haptic feedback · companion app

In 15.783 Product Design and Development, I worked with a team of mechanical engineers, RISD industrial designers, and fellow Sloan students to build a real working product for a problem a few of us felt firsthand, sitting too long at desks and slouching while watching TV.

Statura is a compact, clip-on posture sensor with haptic feedback and a gamified companion app. The idea came from a simple insight we kept hearing in user interviews. People wanted to improve their posture, but existing solutions were either too obtrusive, too uncomfortable, or too easy to ignore.

  • Move from prototypes taped to t-shirts to a polished alpha prototype with Bluetooth, haptic feedback, and a 48-hour battery target.
  • Design a companion app that makes posture feedback feel encouraging through a character that levels up as your posture improves.
  • Balance engineering optimization with the design question of whether someone would actually want to wear it.

Built with MIT 15.783 teammates · Product concept, research, prototyping, and pitch

HardwareMITBluetoothProduct DesignGamification
Glydways autonomous snowplow vehicles
Spring 2025

Cold-Climate Autonomy: Winter Operations for Glydways × MIT SDM

Systems Engineering

winter operations · Monte Carlo simulation · market expansion

In the MIT System Design and Management Core, our team partnered with Glydways to answer a strategic systems question: could their autonomous personal rapid transit architecture operate safely in winter?

  • Evaluate six major architecture options across cost, reliability, and operating constraints.
  • Use Monte Carlo simulations to compare winter uptime under different system designs.
  • Recommend a dedicated autonomous snowplow with salt distribution on the Pareto frontier.

MIT SDM team project · Systems architecture, simulation, and operating strategy

Systems EngineeringMonte Carlo SimulationAutonomous VehiclesMIT SDM
lisa.pederson.sf@gmail.com

San Francisco, CA