Technical Product Manager

Overview

Own the Jobs platform and take its capabilities to the next level across job ingestion, cleansing, indexing, search, matching, notifications, and front-end product interfaces. Work across architecture, data engineering and science, development, analytics, and product management to deliver effective solutions for end users at scale.

What you'll do

• Define the product vision and roadmap for a web-scale pricing and real-time bidding engine, translating AdTech/programmatic monetization principles to job inventory.
• Partner with North American product leadership and senior engineering architecture to build scalable, end-to-end programmatic job distribution platforms.
• Work with Data Science to build job-valuation ML models.
• Optimize job matching algorithms.
• Improve search relevance, recommendations, and conversion rates.
• Measure, audit, and improve job inventory quality and coverage across internal systems and vendor feeds.
• Identify gaps in data pipelines.
• Partner with internal teams to build analytics and reporting dashboards for executive leadership.
• Own the Jobs platform across ingestion, cleansing, indexing, real-time and offline search and matching, and front-end product interfaces.
• Define key metrics and benchmarks and measure them at scale.
• Work with multiple teams to develop solutions that meet end-user needs.

What you'll need

• 6+ years of total experience.
• 2–5 years in the jobs domain, including job matching, search, and recommendations.
• A proven track record leading cross-functional engineering squads.
• Experience assessing tech stack effort and complexity.
• Experience architecting web-scale platform solutions using modern or open-source tools.
• Strong quantitative ability to partner with Data Science on ML models.
• Ability to leverage data to back recommendations and handle competing priorities.
• 3–5 years of experience with analytics tools and data science models.
• Exceptional written and verbal communication skills with a history of engaging, influencing, and aligning senior executives.

Nice to have

• A technical background.
• Ability to read API.
• Exposure to any backend technology like .Net or Java etc.
• Experience with MS Azure and/or other cloud platforms.
• Exposure to distributed computing and micro services architecture.
• History of evaluating the relevance of search results and driving improvements with engineering and/or Data Science.
• A track record of improving the breadth, depth, and quality of consumer facing online content.

Details

• Location: Noida, Uttar Pradesh, India.
• Work mode: Hybrid.