Phygtl, Inc.

Role Description 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 What You Will Do You operate across three layers: - Execution Layer (TPM) - 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 - Correctness Layer (QA) - 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 - AI-Native Layer - 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 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 - People looking for a salaried job today - Those wanting a freelance contract or short-term gig - Individuals bridging time until their next role - Those who prefer clearly defined specs over ambiguous systems If Interested Send: - a short note on why this role resonates - examples of systems you’ve debugged, validated, or improved Final Thought 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 from you.

Our Mission: At Phygtl, we are solving the problem for Students suffering from social isolation, a challenge that affects over 60% of today's students, contributing significantly to rising depression and anxiety rates. We develop technology that reduces isolation by up to 40%, by providing a novel way to foster community on campus while bridging connections between physical and digital environments. Who We Are: Our team includes PhDs from institutions such as Stanford, UC Berkeley, MIT, and Carnegie Mellon, alongside professionals from companies like Niantic, Meta, Magic Leap, Riot Games, Ubisoft, and Zynga. Led by a Silicon Valley-based serial entrepreneur, our startup is united by a commitment to rescue next-gen from Social Atrophy. Tasks What you'll do As a Product Management Intern, you’ll own real features end-to-end across ideation, research, execution, and launch. You will: - Drive user research through interviews, surveys, and rapid feedback loops - Translate insights into product specs, user stories, and acceptance criteria - Work closely with engineering, design, and growth to ship features on tight timelines - Analyze product data to identify trends, opportunities, and bottlenecks - Support sprint planning, QA, and release management - Benchmark competitors, map market opportunities, and synthesize product insights - Help build operational frameworks, roadmaps, and cross-team documentation This role is hands-on. You will work like a real PM: making decisions, prioritizing tradeoffs, and pushing features across the finish line. Requirements What We’re Looking For You are: - High empathy for users and what they feel ... curiosity-driven - Organized, analytical, and comfortable with structuring ambiguous problems - Excellent at written communication — clarity is everything - Skilled at Figma, Notion, or similar tools (or excited to learn fast) - Capable of balancing speed with product intuition - A team-first operator who can navigate chaos and still ship - Passionate about consumer products, AI, or new-gen digital/physical experiences Preferred: - Background in Cognitive Science, CS, UX, Business, or related fields - Experience with side projects, club leadership, hackathons, or product coursework - Prior involvement in PM, design, engineering, or growth initiatives Benefits What You’ll Gain - Real PM ownership of a shipped product - A portfolio of launch-ready features and artifacts (TPRs, wireframes, dashboards, etc.) - Mentorship from senior PMs, designers, and engineers - Exposure to a fast-moving startup environment - A strong network in product, AI, and emerging tech Why Join Phygtl: - Work on technology addressing important social challenges. - Collaborate with a team experienced in academia and industry. - Flexible remote work environment - Competitive compensation Who Should Apply: We seek candidates who genuinely care about solving social isolation. Ideal applicants are motivated by meaningful social impact and committed to applying their technical expertise to address significant societal issues. Apply Now: If our mission resonates with you and you have the skills to contribute, click "Apply" to join our team.

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 begin to develop a persistent experiential layer, where places contain memories, co-created assets, and discovery paths generated by the community itself. The experiences themselves 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 seasones talents 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 glasees. 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 distributed systems capable of coordinating environments, users, AI agents, and third-party developers simultaneously. What You Would Work On You would help design and build the distributed systems layer that powers the platform. This includes: - real-time coordination systems for large numbers of concurrent users - distributed world state for artifacts, quests, identities, and spatial context - APIs and infrastructure enabling developer and brand participation - orchestration of multiple AI agents operating within the system - scalable service architecture for persistent spatial environments - AI platform infrastructure such as vector search, retrieval systems, and agent orchestration that power contextual reasoning inside the system - search and discovery infrastructure allowing users and developers to navigate artifacts, identities, and environments across the network This role sits between game infrastructure, distributed systems, and AI platform architecture. Hard Problems We’re Exploring - Persistent shared world state - artifacts, identities, and quests evolving across sessions and users - Massively concurrent spatial coordination - enabling real-time participation across many users interacting in the same environments - Distributed AI orchestration - production systems where multiple AI agents operate in parallel while maintaining reliability and latency guarantees - Platform infrastructure - evolving the system from a single product into infrastructure other developers can build on Role We are looking for a hands-on distributed systems engineer from the gaming industry who wants to become a founding engineer. You would: - design distributed system architecture - define service boundaries and coordination mechanisms - build systems for concurrency, persistence, and scale - integrate AI-driven pipelines into production infrastructure - shape the platform architecture as the system evolves beyond the app We are not looking for someone to simply build backend services, but a talent who wants to architect the distributed systems layer of a new spatial computing platform. 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 engineer at a startup without having to start one from scratch. Who This Is For Engineers who: - have deep experience building distributed systems - have worked on real-time or game-scale infrastructure - think in systems architecture rather than isolated services - are comfortable designing for concurrency, reliability, and scale - have experience building AI or ML platforms, such as: - vector search or retrieval systems - RAG pipelines or LLM services - agent orchestration platforms - AI safety or synthetic data pipelines - are already experimenting with AI-native development workflows This often resonates with engineers who have spent years inside large companies and now want to build something category-defining with ownership. Who This Is NOT For 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 are primarily a traditional CRUD backend developer This is a founding role with startup emotions. If Interested Send: - GitHub or portfolio - examples of distributed systems or infrastructure you built - anything you’ve built involving AI orchestration, agents, or platform systems

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a senior Unity engineer who wants to become a founding technical contributor. You would help: - Shape Unity architecture - Design spatial persistence systems - Build multi-user spatial interaction systems - Integrate AI-assisted development workflows - Define the long-term technical direction of the platform We are not looking for someone to simply use Unity. We are looking for someone who wants to help define the architecture of a new spatial computing product category. Qualifications - Deep Unity experience (typically 8–10+ years) - Experience shipping complex real-time systems - Enjoy architecting systems rather than just implementing features - Curious about AI integration into interactive environments Requirements - This role is designed for someone who wants to build a startup without having to start one alone from scratch. Benefits - 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, or full-time. - Many experienced engineers start part-time first while evaluating the opportunity. Who This Is For - Engineers who have deep Unity experience. - Engineers who have shipped complex real-time systems. - Engineers who enjoy architecting systems rather than just implementing features. - Engineers who are curious about AI integration into interactive environments. - Engineers who want to build something meaningful with ownership. Who This Is NOT For - Do not apply if you are looking for a salaried job today. - Do not apply if you want a freelance contract or short-term gig. - Do not apply if you are bridging time until your next role. If Interested Send: - GitHub or portfolio - Examples of Unity systems you built - Anything you’ve experimented with involving AI Please also include short answers to the questions below. PS: If you have spent years building complex Unity systems and occasionally think: “If I were part of a startup, I would architect it differently,” you are probably the person we are hoping reads this.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You’ll join the team building Vyry, a mobile app that helps students meet in real life through short, coordinated campus quests. Right now, our focus is Quest Participation optimization: keeping peers on the quest screen while they coordinate via chat, voice, and AR Meet, without state glitches, drop-offs, or broken realtime behavior. This role is not about “building chatbots.” It’s about shipping realtime intelligence inside a live social product, where state correctness, latency, and user trust matter. What You’ll Work On - Designing context-aware quest logic (physical + social + temporal signals) - Detecting stall or drop-off conditions during coordination - Suggesting structured micro-actions that increase completion probability - Instrumenting evaluation loops tied to measurable behavioral outcomes - Shipping production-facing components You will operate on top of existing real-time systems — not rebuild infrastructure. Qualifications - A strong computer science or engineering student - Someone who has shipped real systems (GitHub required) - Comfortable reasoning about state transitions and edge cases - Curious about AI systems beyond simple prompt usage - Able to move from idea → working prototype quickly Requirements - Design a simple state-aware workflow - Think through failure modes - Explain tradeoffs (latency, cost, reliability) - Tie technical decisions to measurable outcomes - Bonus if you’ve built: - Agentic workflows - Multiplayer or event-driven systems - Evaluation pipelines for AI systems - Side projects used by real users How We Evaluate - Systems clarity (state + failure thinking) - Execution speed - Ownership - Depth over pedigree Benefits - Work on a Real Behavioral Problem. You won’t optimize clicks. You’ll design systems that influence real-world human coordination and identity formation. - This is AI applied to physical behavior — not interface optimization. - Ship Systems That Matter. Your work will tie directly to: - IRL Quest Completion Rate - D30 Retention - Learn From Operators Who’ve Built at Scale. You’ll work with the founding team, engineers and researchers from: - Founder DNA - Roblox (LLM + search systems) - Niantic (AR + real-world coordination) - Stanford / Berkeley / MIT / CMU - Operate in a High-Bar, Low-Bureaucracy Environment. We value: - Meritocracy over pedigree - Shipped systems over slide decks - Clear thinking over buzzwords - Build a Rare Skill Set. You’ll gain experience at the intersection of: - Agentic AI systems - Real-time coordination - Behavioral metrics - Spatial computing Compensation & Structure - Competitive compensation - Flexible remote structure - FT 3 months or PT 6 months - High ownership, small team Apply - CV - GitHub - A concise architecture walkthrough of one system you built - One failure you debugged (what broke, why, what changed) - A short note (≤300 words) on how you’d increase IRL Quest Completion by 15% We review for depth, not buzzwords.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a User Research Intern, you’ll coordinate, run, and support qualitative research that shapes product decisions. You’ll learn how to plan sessions, moderate high-signal conversations, and turn messy qualitative input into crisp, usable insights. This role is hands-on, not watching from the sidelines. What you’ll do - Coordinate and moderate user research sessions (core) - Plan and facilitate focus groups and/or interviews using our guides and structure - Ask strong follow-ups (“ask, don’t tell”), stay neutral, and manage group dynamics - Keep sessions focused, respectful, and high-signal - Plan sessions with intention - Translate research goals into a discussion guide and session flow (templates provided) - Align questions to current product hypotheses and decisions - Deliver clean research outputs (required) - Leverage tech to transcript + structured summary (insights, quotes, implications, follow-ups) - Work like a remote-first teammate - Track tasks and deadlines in Asana - Share a short weekly update (what you ran, what you learned, what’s next, blockers) Benefits - Skills that actually compound - Moderation reps + coaching (how to ask better questions, stay unbiased, and go deeper than surface opinions) - Synthesis practice: turning transcripts into patterns, insights, and recommendations - Stronger communication: writing and presenting findings clearly - Work alongside engineers, designers, and PMs - Unlock your entrepreneurial DNA by collaborating with the founders - Portfolio-ready proof: You’ll produce real research artifacts (sanitized summaries/insight memos you can reference in a portfolio) - Career clarity: You’ll learn what it’s like to work on a real consumer product where research directly changes decisions - Learn first-hand how to use LLMs, LWMs, and agents, skills that catapult you into your professional career Qualifications - 3rd/4th year student (Junior/Senior), 2nd year outliers - Fluent English; comfortable leading live conversations - Reliable follow-through (you hit deadlines and communicate early if blocked) - Curious by default: you naturally ask “why?” and you’re not afraid of silence Requirements - Strong preference: You’re genuinely excited about: - AI and AR (and where consumer tech is heading) - Gaming, social products, and mobile consumer apps - Building a mission-driven product (not “another internship”) - Remote-first execution: proactive communication, strong writing, self-management - Tools comfort (important): Comfortable learning and using tools like ChatGPT, Claude, Asana, shared docs, and forms. - Nice to have: Any facilitation background (clubs, tutoring/teaching, community leadership, RA/peer mentor, etc.) - Any qualitative research exposure: (class projects count) - Nice to have (GREAT+): OpenClaw agentic process setup (agentic workflows/automation that speeds up research operations) Time expectations - 10–15 hours/week on average (flexible around classes) - You’ll ramp into a steady rhythm of ~1–2 sessions/week once trained and consistent Are you ready to embark on a learning experience that will enrich your professional life forever? We are curious to get to know you! Apply now! Industry - Technology, Information and Internet Employment Type - Internship

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Product Management Intern, you’ll own real features end-to-end across ideation, research, execution, and launch. You will: - Drive user research through interviews, surveys, and rapid feedback loops - Translate insights into product specs, user stories, and acceptance criteria - Work closely with engineering, design, and growth to ship features on tight timelines - Analyze product data to identify trends, opportunities, and bottlenecks - Support sprint planning, QA, and release management - Benchmark competitors, map market opportunities, and synthesize product insights - Help build operational frameworks, roadmaps, and cross-team documentation This role is hands-on. You will work like a real PM: making decisions, prioritizing tradeoffs, and pushing features across the finish line. Qualifications - High empathy for users and what they feel - Curiosity-driven - Organized, analytical, and comfortable with structuring ambiguous problems - Excellent at written communication — clarity is everything - Skilled at Figma, Notion, or similar tools (or excited to learn fast) - Capable of balancing speed with product intuition - A team-first operator who can navigate chaos and still ship - Passionate about consumer products, AI, or new-gen digital/physical experiences Requirements - Background in Cognitive Science, CS, UX, Business, or related fields - Experience with side projects, club leadership, hackathons, or product coursework - Prior involvement in PM, design, engineering, or growth initiatives Benefits - Real PM ownership of a shipped product - A portfolio of launch-ready features and artifacts (TPRs, wireframes, dashboards, etc.) - Mentorship from senior PMs, designers, and engineers - Exposure to a fast-moving startup environment - A strong network in product, AI, and emerging tech Company Description At Phygtl, we are solving the problem for Students suffering from social isolation, a challenge that affects over 60% of today's students, contributing significantly to rising depression and anxiety rates. We develop technology that reduces isolation by up to 40%, by providing a novel way to foster community on campus while bridging connections between physical and digital environments. Our team includes PhDs from institutions such as Stanford, UC Berkeley, MIT, and Carnegie Mellon, alongside professionals from companies like Niantic, Meta, Magic Leap, Riot Games, Ubisoft, and Zynga. Led by a Silicon Valley-based serial entrepreneur, our startup is united by a commitment to rescue next-gen from Social Atrophy.