Sanctuary AI

Location: Remote, India (flexible hours with U.S. team overlap) Engagement type: Full-time Compensation: INR 2,38,250 - INR 2,85,900 per month (based on experience and interview process) About Sanctuary Sanctuary builds nature - led, wellness - centered communities that feel alive. Our first 135-acre residential community in the Texas Hill Country is designed with: 🌱 Non-toxic materials 💧 Clean water and filtration systems ⚡ EMF-conscious design 🌿 135 acres of preserved land and eco - sensitive planning We are a global team (spread across 8 countries) of designers, architects, engineers, and dreamers building spaces that restore and inspire. For us, it’s not just where people live - it’s how they live. Our vision is to bring Sanctuary to major cities around the world: healthy, sovereign communities that sit on the edges of every modern metropolis. About the role We are hiring a Smart Home Project Manager to bring technology into our homes in a way that supports how people live. You will manage the implementation of smart home systems across our projects - from planning and vendor selection through installation and handover - and use AI tools to prototype integrations, automate workflows, and build internal systems. Internally, we call this role a "Smart Home VibeKid": someone who can vibe code a working prototype instead of waiting for someone else to build it. Smart home at Sanctuary looks a little different. Our homes are designed around wellness, so technology has to serve health and comfort - lighting, air and water quality, energy, security - while staying mindful of EMF exposure. You will help decide what goes into our homes, how it all works together, and how residents experience it. This is not a role for someone who needs close oversight or a fixed playbook. We are looking for someone curious and hands-on, who can test ideas quickly, figure out what's missing, and turn a concept into a working system. What you'll do Smart home implementation Plan and manage smart home technology across our projects: lighting, climate, air and water quality monitoring, energy, security, and connectivity Evaluate and select smart home platforms, devices, and vendors that fit our wellness and EMF-conscious standards Work with architects, MEP consultants, and the construction team to build smart home systems into designs early Oversee installation, testing, and handover with vendors and integrators AI prototyping and automation Use AI tools to prototype smart home integrations and automations before they go into homes Build internal systems and workflows using AI-assisted ("vibe") coding and no-code platforms Automate project tracking, vendor coordination, and reporting for smart home work Keep up with new smart home and AI technology, and test what could work for us Project management and coordination Track timelines, budgets, and deliverables for smart home scope on each project Coordinate vendors, integrators, and internal teams across India and the U.S. Document systems clearly for residents, facility management, and future projects What you bring 3-7 years of experience in smart home, home automation, IoT, ELV, or building management systems (BMS) in real estate projects Hands-on knowledge of smart home platforms and protocols (e.g. Home Assistant, Control4, Crestron, KNX, Zigbee, Z-Wave, Matter) Experience managing installations with vendors and integrators, from planning to handover Hands-on experience building prototypes or automations with AI (e.g. ChatGPT, Claude, Cursor, Lovable, Replit) or no-code platforms (e.g. Zapier, Make, Airtable) Examples of integrations, tools, or automations you've built - please share them when you apply Interest in wellness technology (air and water quality, circadian lighting, low-EMF design) is a strong plus Comfortable operating with high autonomy in a fast-moving, remote, cross-cultural environment Clear, proactive communicator in English, both written and spoken Hiring process Stage 1: Intro interview - Role alignment, experience overview, a walkthrough of systems or tools you've built, and culture fit Stage 2: Test task - A short practical assignment: plan or prototype a smart home solution using AI tools Stage 3: Final interview - Deep dive into workflows, expectations, and growth