Founding AI-Native TPM & Systems Integrity Lead

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:

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

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:

To do that, software must understand place, context, and coordinated action , not just users and clicks.

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

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:

alongside a research layer that includes:

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.

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

system correctness

time to resolution

execution quality

ensure outcomes match expectations

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

understood at root cause

reproducible

prevented from recurring

You design how validation and execution scale:

implement agents that: simulate user behavior test flows validate outcomes measure system performance

simulate user behavior

test flows

measure system performance

create feedback loops that continuously improve the system

reduce reliance on manual QA and manual coordination

You will define how system behavior becomes actionable across the team .

This includes:

translating system gaps into clear, structured tasks (tickets, flows, validation units)

ensuring issues are: clearly defined reproducible outcome-driven

clearly defined

outcome-driven

establishing and evolving KPIs , including: system correctness validation coverage time to resolution

validation coverage

owning how work is tracked and resolved (Jira or equivalent)

ensuring bugs are not just reported, but: fully understood fixed at the root prevented from recurring

fully understood

fixed at the root

ensuring correctness across multi-user, multi-step coordination flows

designing validation systems that scale with real-world complexity

orchestrating AI agents to simulate and validate system behavior

building systems that detect and resolve failures before users experience them

We are looking for a founding-level system operator and builder .

This role sits at the intersection of:

execution (TPM)

correctness (QA)

automation (AI)

This is not a traditional TPM role. This is not a manual QA role.

This is ownership of a new system layer .

Without this role, the system scales in features but not in correctness, and breaks under real-world coordination.

People who:

think in systems and execution, not just features

are strong in: team alignment orchestration driving outcomes

team alignment

orchestration

driving outcomes

naturally identify: edge cases system failures

edge cases

system failures

are comfortable working with: engineers AI systems product flows

engineers

AI systems

product flows

care deeply about correctness and outcomes

Please do not apply if:

you are looking for a salaried job today

you want a freelance contract or short-term gig

you are bridging time until your next role

you prefer clearly defined specs over ambiguous systems

This is a founding role with real ownership and ambiguity .

Send:

a short note on why this role resonates

examples of systems you’ve debugged, validated, or improved

If you have thought, “I want to build my own startup and make a real impact” — and are looking to do it as part of a team already in motion — we want to hear form you