Responsibilities
- Coordinate with multiple functional teams for requirements alignment and progress tracking
- Lead QA for Data pipelines (AI & Crawler systems) and set up efficient business processes
- Support engineering tasks related to dataset preparation and data quality checks
- Manage multiple data projects and lead QA for Data Pipelines daily
- Deliver highly accurate data across product/engineering requirements
- Work with data annotation service teams with daily coordination and progress tracking
- Collaborate with Product, AI, and Crawler teams for data preparation and QA requirements
- Define clear, scalable QA processes for data inputs and pipelines
- Ensure accuracy, consistency, and reliability of data inputs
- Assess risks to delivery timelines and provide recommendations
- Investigate issues to ensure process adherence and project success
- Lead initiatives to reduce manual effort and enhance productivity, including automation
- Continuously evolve processes based on feedback from Product & Engineering teams
- Assess staffing needs to support multiple initiatives
- Coordinate between internal and external teams for data projects
- Report findings and maintain project status trackers
- Establish effective stakeholder communication channels
- Create and manage clear, scalable documentation and knowledge transfer processes
- Improve operational processes and standardize best practices across the organization
- Create and manage operational workflows
Qualifications
- 2-3 years experience in operations, strategy, or equivalent roles
- Strong critical thinking, problem-solving, and analytical skills
- Ability to work independently in a fast-paced, ambiguous environment
- Excellent English communication skills and cross-functional collaboration
- Highly organized with attention to tracking, documentation, and process improvement
- Experience scaling early-stage products and rapid learning abilities
- Proficiency with Excel, JIRA (JQL), Confluence, Google Workspace, Loom, Slack
Preferred Qualifications
- Bachelor's degree in Civil Engineering or related fields
- Experience working with multiple data annotation vendors
- Construction or building engineering experience with product specification knowledge
- Experience with web crawlers or QA for AI data pipelines
- Experience in technology products for construction or similar industries (automotive, aerospace, manufacturing)
- Experience working with distributed teams across multiple time zones
Work Environment
- Competitive salary and benefits including family insurance and learning budgets
- Equity in the company
- Flexible hours and hybrid work arrangement
- Unlimited PTO
- Opportunity for growth in a fast-scaling company
Location
- Bengaluru, with regular in-office presence
