Summary
Daily Claude Code power user who builds resource allocation and capacity planning systems at scale. 20 years in product management, three successful exits. At Meta, designed an intent-based semantic layer for workload scheduling with SLA-driven prioritization, preemption policies, and continuous auto-optimization across thousands of concurrent jobs — the same class of problems that define GPU cluster orchestration.
Employment
Meta
2023.03 – Present
2023 – Present
Delivering the most performant data pipelines in the world.
Product Manager, AI & Data Infrastructure
- Own the acceleration stack for data pipeline performance, including co-location optimization, capacity partitioning, and caching layers with strong consistency guarantees.
- Developed an intent API and semantic layer where workload authors declared SLAs (latency, freshness, QPS, capacity budgets) and the system continuously auto-optimized physical storage, caching, and materialized views.
- Led capacity conversations for 20+ internal customers with their finance and capacity teams, securing temporary capacity bumps during architecture migrations before utilization gains were realized.
- Built observability dashboards and capacity planning models for infrastructure health, utilization tracking, and demand forecasting.
Supernatural (acquired by Meta)
2022.09 – 2023.03
2022 – 2023
Led product through acquisition by Meta.
VP of Product
- 3x ARR and 2x user retention across millions of members; described as "the closest Meta ever came to realizing the metaverse" (Pranav Dixit, Business Insider).
- Guided product through $400M+ acquisition by Meta, surviving an FTC antitrust challenge.
- Built 0-1 real-time multiplayer infrastructure supporting 10k+ concurrent users with Vivox voice chat across distributed systems.
- Led a team of 17 PMs, UXR, and Program Managers through hypergrowth and acquisition.
Elevate Security (acquired by Mimecast)
2020.01 – 2022.09
2020 – 2022
First product hire; built and steered product team to acquisition.
VP of Product
- First product hire; built the Product Team from scratch including PMs, POs, Designers, and Technical Writers.
- Co-inventor, US12149553B1: ML risk-scoring model and automated intervention system — involved in requirements, model selection, evaluation design, and tuning.
- Scaled platform products serving multi-stakeholder enterprise customers with complex trade-offs.
- Pivoted company to new products that 2x ARR with a 60 NPS score and less than 5% churn.
Tonal
2018.11 – 2020.01
2018 – 2020
Owned engagement experience, pre-launch through scale.
Director of Product Management, Engagement
- Joined pre-launch as the first PM working horizontally across hardware, firmware, software, and content teams, shipping a unified product experience across embedded, mobile, and watchOS surfaces.
- Owned the end-to-end system integration across embedded firmware, cloud services, and client applications with strict latency and reliability constraints.
- Increased engagement 2x and customer satisfaction 50% through data-driven experimentation and metrics instrumentation across the full stack.
- Developed automated content production pipeline and workflows that increased output 27x.
Habitry (acquired by Lift The Bar)
2013.08 – 2018.11
2013 – 2018
Co-founded, built, and sold.
CEO, Head of Product, Co-Founder
- Co-founded and sold a Motivation Science consultancy; built an iOS behavior change platform with 72% daily adherence and 68% retention at 365 days, serving 16,000 users across 6 continents.
Education
University of Chicago
2001 – 2004
Bachelors in Philosophy
Harvard University
2001 – 2001
Undergraduate Coursework in Economics
John F. Kennedy University
2011 – 2014
Masters in Sport Psychology
Writing
https://smledbetter.com/blog
Blog series on AI-native product management — sprint methodology with AI agents, coaching agent teams, and building encrypted apps with LLMs.
Skills
Scheduling & Orchestration
Nexa Scheduler
https://github.com/smledbetter/Nexa-scheduler
Compliance-aware workload scheduler for GPU and CPU clusters on Kubernetes.
- Built a privacy-first Kubernetes scheduler enforcing data sovereignty, org isolation, and confidential compute constraints at scheduling time — including topology-aware GPU placement and gang-scheduling for multi-node training jobs.
- Fail-closed design with preemption policies and quota enforcement ensures pods stay Pending rather than compromise isolation guarantees.
- Full audit trail of every placement decision with structured JSON logging and Prometheus metrics for queue depth, scheduling efficiency, and resource utilization.
Flowstate
https://github.com/smledbetter/flowstate
Sprint-based development workflow framework for Claude Code.
- Quality gate framework with automated checks (tests, types, lint, coverage) for AI-assisted development.
- Three-phase sprint structure (Think, Execute, Ship) that prevents scope drift on complex work.
- Metrics pipeline tracking token usage, session time, test counts, and code coverage across sprints.
Weaveto.do
https://github.com/smledbetter/Weaveto.do
Privacy-first, agent-augmented task coordination for decentralized teams.
- End-to-end encrypted task coordination platform using Olm/Megolm (vodozemac WASM) with zero-knowledge relay.
- WASM-sandboxed custom agents with encrypted state and Ed25519 signature verification.
- No accounts — device-bound identity via WebAuthn PRF with ephemeral-by-design encryption keys.
Uluka
https://github.com/smledbetter/Uluka
Security claim verification CLI for code.
- Extracts security claims from comments, README, and JSDoc, then verifies they match actual implementation.
- Multi-language code parsing via Tree-sitter with taint-tracking data flow analysis across files.
- Optional Claude-powered verification for nuanced security properties, with deterministic rules running first.