Peoplegrove

As the Business Manager of PeopleGrove Tech Private Limited , you will serve as the senior leader for our India office, responsible for cross-functional team leadership, site operations, legal compliance, budgeting, and collaboration with global stakeholders. You will play a pivotal role in driving PeopleGrove s success by ensuring smooth local execution, operational excellence, and a strong, inclusive culture. Requirements Talent & Culture: Build and retain a high-performing, motivated team while fostering PeopleGrove s values and culture in India. Global Collaboration: Work closely with US-based leadership to align on strategic priorities and ensure seamless cross-border collaboration. Legal & Compliance: Ensure that the India entity remains fully compliant with local laws and regulations. Coordinate with legal advisors and consultants on company registrations, contracts, and statutory filings. Taxation & Financial Governance: Work with the company s Chartered Accountant (CA) to manage taxation, filings, audits, and financial compliance. Budget Planning: Lead the preparation of the annual India budget in coordination with global finance, ensuring alignment with organizational goals and prudent financial planning. HR Policies & Operations: Take accountability for local HR policies, employee relations, compensation compliance, and implementation of global people practices adapted to the local context. Operational Excellence: Continuously improve internal processes across departments, helping scale the India operation effectively. Experience: Minimum 10 years of progressive leadership experience in operations, general management, or similar senior roles, preferably in a multinational product tech company. Remote Option - You can work from any location of your choice Reimbursement of Home Office Setup Competitive Salary Friendly atmosphere Flexible paid vacation policy

Engineering / Full Time (Remote) / Remote We are looking for a skilled Data Engineer to design, build, and maintain the pipelines and models that power our analytics, reporting, and machine learning initiatives. You ll be central to transforming raw data into reliable, actionable insights by integrating diverse sources into a unified data platform. This is a hands-on role where you ll own the end-to-end data flow from ingestion and transformation to modeling and optimization ensuring that data across the company is high-quality, consistent, and scalable . Key Responsibilities Design, develop, and maintain data ingestion, transformation, and modeling pipelines. Build and optimize data models to support analytics, dashboards, and KPIs. Deliver data models for use by ML Engineers, Data Analysts, and Data Scientists. Ensure data quality, reliability, and governance across ingestion and transformation workflows. Collaborate cross-functionally on initiatives requiring clean, well-structured data. Continuously improve performance, scalability, and maintainability of data workflows. Core Technologies Fivetran for automated, scalable data ingestion. Snowflake as our centralized, cloud-native data warehouse. GraphQL for flexible, application-agnostic data consumption. Required Qualifications 4+ years of experience in data engineering, with strong pipeline and modeling expertise. Deep knowledge of data warehousing and data modeling in cloud platforms (e.g., Snowflake). Hands-on experience with Fivetran and GraphQL . Strong skills in SQL and Python for data manipulation and pipeline development. Familiarity with AWS and Google Cloud environments. Understanding of data governance, schema evolution, and CI/CD practices . Preferred Qualifications Experience with Snowpark AI / Cortex or similar AI-enabled data platforms. Exposure to Connector SDK for building custom connectors. Knowledge of data security, replication, and failover strategies . Experience working with educational data platforms or LMS systems .