Smart Home Project Manager [AI & Automation]

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)

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.

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.

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

• 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

• 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