AI Manager

About Isprava:

Isprava is the largest and fastest growing luxury holiday home developer in India. Isprava specialises in the design, construction and refurbishment of sophisticated luxury homes for discerning individuals. We are passionate about luxury, and take pride in creating stunning, inspirational holiday homes. A typical Isprava home is designed by leading international designers, is fully furnished, and is maintained by a property management team on the owners behalf. As a company, Isprava has been invested in by Godrej family office and the Piramal family amongst others and has hosted various industrialists, celebrities and sports personalities in their homes. |Our buyers are some of the most well-known personalities in India. They include Bollywood Celebrities, Sports Stars, Industrialists, etc. Our Head office is in Mumbai and our projects are spread across Goa, Alibaug, Kasauli, the Nilgiris, and various other locations.

About Lohono Stays (Sister Company):

Lohono Stays is the Hospitality arm that specialises in Luxury Service, Refurbishment and Rental Management for luxury holiday homes curated from an exclusive list of homeowners.

Roles & Responsibilities:

As an AI Manager, you will play a critical role in driving execution, training, and adoption of AI solutions across the organisation. This is a hands-on, execution-focused role that bridges people, process, and technology. You will work across functions to support adoption, deliver training, monitor usage, and gather feedback to improve adoption outcomes.

Execution & Adoption -

Support operational rollout of AI tools and workflows across teams in Operations, Sales, Marketing, HR, Finance, and Legal

Facilitate AI onboarding sessions, training workshops, and tool demos for internal users.

Maintain training materials, standard operating procedures (SOPs), help documents, and FAQs

Act as a key point of contact for day-to-day AI adoption queries, user support, and troubleshooting

Track active usage and engagement across AI tools; identify areas needing support or improvement

Identify friction points in usage and work with relevant stakeholders to improve workflows, documentation, or training materials

Contribute ideas for improving adoption experiences

Help design quick start guides, video tutorials, or bite-sized learning modules

Engage in internal feedback loops with stakeholders to pilot enhancements or new use cases. Performance Tracking & Reporting

Monitor adoption metrics, usage trends, and user satisfaction over time.

Prepare adoption dashboards and reports for leadership, highlighting key insights and patterns. Work with internal data and analytics stakeholders to build simple reporting frameworks. Cross-Functional Enablement

Partner with Product and Data teams to relay real-world user challenges and suggestions.

Support teams in understanding how AI can streamline workflows and improve productivity.

Assist in testing updates or enhancements before wider rollout.

Skills

Foundational Skills

Strong communication and interpersonal skills; ability to explain AI tools in simple terms.

Aptitude for supporting operational processes and engaging with diverse teams.

Comfortable documenting workflows, tracking outcomes, and presenting insights.

Strong organisational skills with the ability to manage multiple enablement initiatives.

Technical / AI Fluency

Familiarity with generative AI tools and conversational AI platforms.

Understanding of automation platforms like Zapier, Power Automate, or n8n.

Ability to work with dashboards, basic analytics, and usage tracking tools.

Learning mindset with interest in AI trends and productivity technologies.

Nice-to-Have

Exposure to enterprise tools (CRM, ERP, BI dashboards).

Experience creating training content or facilitation experience.

Interest in staying updated on AI advancements and practical applications.

Experience:

Bachelors degree in Engineering, Business, Technology, or a related field.

0 to 5 years of experience in technology or marketing related roles with a knack for AI

MBA or relevant certifications in AI/enablement is a plus.