Open Role

CTO / Technical Lead

Remote LookSphere Ltd. Co. Founding Team Equity

What We're Building

LookSphere is an AI-powered SaaS orchestration platform for commercial fitness facilities. We unify member touchpoints, automate campaign delivery across digital surfaces, and close the attribution loop — connecting a sold service, membership upgrade, or retail purchase back to the impression that drove it. We monetize that revenue lift and once at scale, leverage attribution through DOOH advertising from lifestyle-aligned brands.

Pre-revenue, pre-MVP, actively building.

The Platform in Practice

LookSphere detects revenue opportunities at a facility — an open personal training slot, a group fitness class with low enrollment, a membership tier a member hasn't upgraded to, a retail product worth promoting — and automatically identifies the right member cohort, generates the campaign collateral, and delivers it across every surface the facility has: digital signage, equipment screens, member mobile apps, SMS, and email. Every impression, engagement, and conversion is attributed. The system gets smarter with every campaign.

The CTO builds the engine that makes all of that work.

Why This Role Exists Now

The product architecture and roadmap is defined. Go to market strategy is largely defined. Designs, requirements and user stories are being documented. The founding team has an industry veteran staff already with founder and CEO (Matt), a CRO, Chief of Staff/Director of Product, and CFO. Each member has deep experience within the fitness industry and a demonstrated record of success in their disciplines. What we don't have is the technical mind who turns requirements and designs into a working system.

This is not a "we need someone to figure out what to build" situation. The what is largely known. We need someone who owns the how — and builds it the way it needs to be built in 2026: AI-first, architecturally sound, and tested from day one.

What You'll Own

System Architecture

You own the technical blueprint — component boundaries, API contracts, data models, service interactions, infrastructure topology — documented precisely enough that an AI development agent (Claude Code, Cursor, etc.) can execute against it with minimal ambiguity. Architecture is not a slide deck here. It is a build instruction.

AI-Directed Development

LookSphere builds AI-first. You are not writing the bulk of the code — you are directing AI agents to write it, reviewing output, and knowing when to override. This requires more precision, not less.

Automated Testing Infrastructure

Unit tests and system tests are part of your deliverables, not an afterthought. Matt and Celine own manual test scripts and integrated testing. You own the automated layer.

Dev Pipeline

Take over and maintain Dev → QA → Staging → Production. Own CI/CD from the start.

Machine Learning Foundation

Scaffold cold-start models for member cohorting and purchase probability across all revenue-generating offer types. Define the training pipeline. You don't need to be a data scientist — you need to spec it correctly and build toward it.

Mobile / Embedded Surface Delivery

Android APK for fitness equipment consoles and digital signage sticks. Web views/widgets for partner mobile apps. Push notification API integrations.

Technical Decision-Making

You're the final word on stack evolution. You make those calls with context and justification.

What Success Looks Like in 6 Months

  1. Architecture documented + component specs delivered at AI-executable precision
  2. Dev → QA → Staging → Prod pipeline operational
  3. ML cold-start models scaffolded; training pipeline defined
  4. Matrix equipment console integration shipped as Android APK + message center API integration
  5. MVP live in production: at least one revenue-generating offer type (PT, class, membership upgrade, or retail) working end-to-end across 2+ surfaces, with attribution closed loop and staff-facing front end
  6. Automated test suite covering core flows — deployed and maintained

Must-Haves

  • Command of agentic development workflows — Claude Code, Cursor, or equivalent. Non-negotiable.
  • Strong architectural instincts: decompose complex multi-tenant SaaS into clean, buildable components
  • Full stack comfort: backend, relational databases, frontend, mobile/Android
  • Automated test infrastructure as a first-class output
  • Multi-tenant SaaS experience: RBAC, org hierarchies, audit trails, data isolation
  • API integration patterns: ops systems (Mindbody, Daxco, ClubReady) + partner mobile SDKs
  • Strong written communication — your architecture docs are your primary work product outside of software
  • Practicing full stack developer — you can read, write, and debug code across the stack. You're directing AI agents, but you need to know when they're wrong.

Nice-to-Haves

  • DOOH/AdTech or attribution infrastructure experience
  • ML pipeline familiarity — cold-start, cohort modeling, recommendation systems
  • Prior 0-to-1 startup experience
  • Android embedded/kiosk development
  • Fitness/wellness industry knowledge

Who Will Not Thrive Here

Compensation & Equity

Equity 4% (Delaware C-Corp, formation in planning). 4-year vest, 1-year cliff. Dilutes through future funding rounds in the normal course. Negotiable for the right candidate. Cash Pre-revenue. If you need salary on day one, we're not there yet. Location Fully remote.

This is a founding-team-level role. If LookSphere hits its trajectory, you will have built the technical foundation of a platform operating in thousands of fitness facilities worldwide.

Interested?
Reach out directly. No recruiters, no forms.
About the Founder

LookSphere was founded by Matt McConley, a product strategist with deep experience driving global interoperability across the connected fitness industry. For more than a decade, Matt has helped bridge the gap between equipment manufacturers, software platforms, and facility operators, shaping how technology partners connect to deliver seamless member experiences. His work leading global product integrations across dozens of ecosystems — from member management and mobile apps to connected equipment and data platforms — inspired LookSphere's creation.

Matt's LinkedIn