Technical Product Manager

Bold Technology Systems·Delhi NCR·Onsite

Product ManagerAI

Experience

2–5 years

Employment

Full Time

Work mode

Onsite

Level

Product Manager

Location

Delhi NCR

Posted

3 days ago

About the role

Company Overview

BOLD is revolutionizing the career landscape by empowering individuals to discover and develop their professional paths. Our recent acquisitions of

Monster and CareerBuilder

will expand our global reach and impact. With a range of brands like

FlexJobs, Zety, and Sonara and more

, we provide job seekers with the tools to create impressive resumes and connect with employers. BOLD fosters a dynamic, inclusive culture that prioritizes innovation and growth.

So don't wait and join us in shaping the future of work and redefining successful careers.

Position Overview

Were looking for an experienced Technical Product Manager to own our Jobs platform and take its capabilities to the next level. Your responsibilities would span the entire pipeline from ingestion, cleansing, and indexing of jobs as they come in; through searching and matching for both users in real-time and offline notifications; to providing front-end product interfaces to our web property product managers. All of this needs to happen at scale across our ecosystem of many millions of jobs and job seekers.

This is an interdisciplinary role emphasizing breadth and orchestration across architecture, data engineering and science, development, analytics, and product management. A technical background is desirable and we expect a firm grasp of technical capabilities and concepts. Youll at the very least be able to read API. However, more important is the ability to work with multiple teams to come

What you'll do

Bidding & Pricing Engine Strategy:
Define the product vision and roadmap for a web-scale pricing and real-time bidding engine, translating AdTech/programmatic monetization principles to job inventory.
Platform & Programmatic Delivery:
Partner with North American product leadership and senior engineering architecture to build scalable, end-to-end programmatic job distribution platforms.
ML, Search & Relevance:
Work with Data Science to build job-valuation ML models, optimize job matching algorithms, and improve search relevance, recommendations, and conversion rates.
Data Quality & Pipeline Health:
Measure, audit, and improve job inventory quality and coverage across internal systems (e.g., BOLD) and vendor feeds, identifying gaps in data pipelines.
Executive Dashboards & Analytics:
Partner with internal teams to build analytics and reporting dashboards for executive leadership (Product, Analytics, Office of the CEO).
Required Skills
Experience: