← All remote jobs

Phygtl, Inc.

Founding AI-Native TPM & Systems Integrity Lead

Remote (United States) · posted 2026-10-25 · listed from another job board

View and apply

About the job

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:

simulate user behavior

test flows

validate outcomes

measure system performance

create feedback loops that continuously improve the system

reduce reliance on manual QA and manual coordination

Operational Ownership

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

establishing and evolving KPIs, including:

system correctness

validation coverage

time to resolution

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

Hard Problems We’re Exploring

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

Role

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.

Compensation

This is an equity-first founding role.

Compensation is equity-only until our next funding round (target H2 2026).

You can join either:

Part-time, while keeping your current role

Full-time

This role is designed for someone who wants to be a founding member without starting from scratch alone.

Who This Is For

People who:

think in systems and execution, not just features

are strong in:

team alignment

orchestration

driving outcomes

naturally identify:

edge cases

system failures

are comfortable working with:

engineers

AI systems

product flows

care deeply about correctness and outcomes

Who This Is NOT For

Please do not apply if:

More jobs like this

Get AI-matched to jobs like this

Free profile, one-click applications, and alerts for new roles.

Join free