About Us

SleepyCat was started to make it easier for consumers to shop for a mattress - a traditionally painful and confusing process. We introduced India's first mattress-in-a-box, a disruptive model in the mattress industry.

We simplify decision-making for customers by offering one "purr-fect" mattress, eliminating unnecessary complexity. With end-to-end control from manufacturing to delivery, we offer high-quality products at a fraction of industry costs. Customers can order online in just a few clicks and receive delivery anywhere in India within 7 days, along with a 100-night risk-free trial.

Location: Mumbai

Reporting to: Chief Operating Officer (COO)

Experience: 2-4 years

Education: B.Tech/BE from IIT or other top-tier engineering colleges (or equivalent pedigree)

Role Summary

Own and drive SleepyCat's central planning and analytics charter by building an AI-powered decision engine for the company.

This is not a traditional analytics role - you will combine data, automation, and AI (LLMs + agent workflows) to transform how decisions are made across the organization.

You will partner with business, marketing, supply chain, finance, and product teams to create a unified analytical backbone, while embedding AI into everyday workflows to enable faster, smarter, and increasingly automated decision-making.

Key Responsibilities

- Central Analytics Ownership

- Act as the single-threaded owner of business analytics, working directly with the COO

- Define and maintain a company-wide single source of truth for all critical metrics

- Transition the organization from dashboard-driven to decision-system-driven analytics

- AI-Driven Insights & Decision Support

- Translate ambiguous business problems into structured analytical + AI-solvable problems

- Deliver actionable insights, recommendations, and AI-assisted summaries (not just reports)

- Build automated insight generation systems using LLMs (e.g., ChatGPT)

- Enable teams to interact with data via natural language querying and AI copilots

- Planning & Performance Management (Augmented by AI)

- Own annual/quarterly planning with AI-assisted forecasting and scenario modeling

- Build dynamic metric trees and performance scorecards

- Develop directional P&L views enhanced by AI-driven assumptions and simulations

- Use AI to identify hidden patterns, anomalies, and growth opportunities

- Tooling, Automation & AI Agents

- Make MapleMonk the central analytics + decision intelligence platform

- Build AI-agent-style workflows, such as:

- Automated metric monitoring and anomaly detection

- AI-generated weekly/monthly business reviews

- Rule-based and LLM-powered decision recommendations

- Leverage tools like:

- ChatGPT (analysis, summarization, insight generation)

- GitHub Copilot (rapid prototyping, automation)

- Integrate APIs, data pipelines, and LLMs to create lightweight internal tools and decision systems

- Reduce manual effort by building self-running analytics workflows

- Data Infrastructure & AI Enablement

- Improve integrations across payment gateways, marketplaces, ERP, and marketing platforms

- Ensure high-quality, structured data pipelines suitable for AI and automation use cases

- Work with tech teams to embed AI models into dashboards and workflows

- Analytics Adoption & AI Evangelism

- Drive adoption of standardized dashboards + AI-powered tools

- Replace fragmented reporting with centralized, intelligent systems

- Train teams on:

- Data interpretation

- Effective use of AI tools in daily workflows

- Continuously push the organization toward AI-assisted and semi-autonomous decision-making

Must-Have Qualifications

- B.Tech/BE from IIT or top-tier engineering institute (or equivalent pedigree)

- 2-4 years in analytics / business planning / data roles (consumer internet, D2C, e-commerce, consulting, product-led orgs)

- Strong problem-solving ability:

- Comfortable with ambiguity and incomplete data

- Able to structure problems into analytical + AI-driven approaches

Technical & AI Skillset

- Strong SQL skills and experience working with large datasets

- Advanced Excel / Google Sheets

- Experience with BI tools (Power BI, Tableau, Looker, etc.)

- Strong understanding of business metrics (CAC, LTV, funnels, cohorts, contribution margins)

- Strong working knowledge of applied AI in business contexts, including:

- Prompt engineering and LLM usage

- AI-assisted analysis and reporting

- Validating and stress-testing AI outputs

Coding & Automation

- Comfortable with Python and SQL scripting

- Ability to:

- Automate reporting and workflows

- Build scripts, notebooks, and internal tools

- Connect APIs and external data sources

- Ability to combine Python + APIs + LLMs to build scalable analytics systems

- Experience integrating AI/LLM APIs into workflows is a strong plus

AI & Agents (Critical for This Role)

- Hands-on experience or strong interest in:

- Using tools like ChatGPT and copilots for work acceleration

- Designing agent-like workflows (alerts, decision flows, automation pipelines)

- Experimenting rapidly with new AI tools and integrating them into business use cases

Behavioral Traits

- High ownership; comfortable working directly with CXOs

- Strong bias for action (speed over perfection)

- Curious, experimental, and AI-first mindset

- Ability to simplify complex insights for business users

- Collaborative, low-ego, and detail-oriented

- Clear and structured communication

What Success Looks Like (First 3-6 Months)

- A single source of truth adopted across teams

- Strong adoption of AI-powered dashboards and workflows

- Significant reduction in manual and ad-hoc analysis

- Deployment of AI-driven systems, such as:

- Automated alerts and anomaly detection

- AI-generated insight reports

- Natural-language analytics querying

- Measurable improvement in decision-making speed and quality

- Clear business impact (marketing optimization, pricing, inventory planning) driven by AI + analytics systems