Founding AI-Native TPM & Systems Integrity Lead
Why This Role Exists
In the age of AI, execution is being fundamentally redesigned.
Work that was previously:
- manually specified
- manually tested
- manually coordinated
is increasingly becoming AI-operated and agent-driven .
This changes the role of Technical Project Management and QA.
Instead of managing tasks and reporting bugs, the system itself can:
- generate specifications
- simulate workflows
- validate outcomes
What becomes critical is:
someone who designs how this system operates and ensures it produces correct outcomes.
What This Role Is
This role combines:
-
Technical Project Management (TPM) — team alignment, orchestration, KPIs, outcomes
-
Quality Assurance (QA) — system correctness, validation, reproducibility
Redesigned for an AI-native system .
You own:
- how work is executed across the system
-
whether the system behaves correctly under real-world conditions
The Problem
Young people are more connected online than ever, yet lonelier than any generation before them.
Most digital platforms are optimized for passive consumption on screens, pulling people away from the environments they live in.
We are exploring the opposite:
technology that brings people together in real-world environments.
To do that, software must understand place, context, and coordinated action , not just users and clicks.
What We Are Building
Vyry is infrastructure that allows physical places to accumulate persistent digital meaning through human participation.
When students coordinate in quests, they are not simply completing activities. They are creating artifacts, relationships, and identity traces that remain anchored to real locations.
Over time, campuses develop a persistent experiential layer , where places contain memories, co-created assets, and discovery paths generated by the community itself.
The experiences are not the product.
They are the behavioral interface through which the system learns how humans coordinate and co-create meaning in physical environments.
Phygtl is building a system where:
-
physical environments become stateful systems
-
human coordination generates persistent artifacts
-
places accumulate structured memory and identity
-
distributed services maintain the world state of these environments
Recent proofs
- 12k → 175k students reached in 2025
- 25% of MAUs complete quests
-
pilots show up to 40% reduction in social isolation
The team combines consumer product, spatial, and game-world expertise, with seasoned talent from:
Roblox • Niantic • Ubisoft
alongside a research layer that includes:
2 professors • 4 PhDs
Future Direction
Today Vyry operates as a mobile app.
The next phase evolves the system into infrastructure for smart glasses.
The long-term architecture enables developers and brands to create context-aware activities inside the spatial environment , similar to how platforms like Roblox enabled creators to build experiences on top of a shared world layer.
This requires building systems that not only scale technically, but behave correctly under real-world coordination.
What You Will Do
You operate across three layers:
1. Execution Layer (TPM)
You ensure work flows correctly across the system:
- align teams around clear outcomes
-
orchestrate execution across product, engineering, and AI systems
-
translate system needs into structured work (Jira or equivalent)
-
define KPIs such as:
- system correctness
- time to resolution
- execution quality
- ensure outcomes match expectations
2. Correctness Layer (QA)
You ensure the system behaves correctly (Agents to run QA for Unity):
-
define expected system behavior across flows
- identify where behavior diverges
- reproduce issues and edge cases
- validate fixes
-
ensure failures are:
- understood at root cause
- reproducible
- prevented from recurring
3. AI-Native Layer
You design how validation and execution scale:
-
implement agents that:
- simulat