Info Edge - Product Manager - Recruiter Side - iimjobs.com

Product Manager - Recruiter Experience

About iimjobs & hirist

At iimjobs and hirist, we're redefining premium hiring in India by connecting top talent with leading employers. Every day, thousands of recruiters rely on our products to discover, evaluate, and hire the right candidates. We're building AI-powered products that make recruiter workflows faster, smarter, and more effective.

The Role

We are looking for a data-driven, AI-savvy Product Manager with 2-4 years of experience to build intelligent products that help recruiters discover, rank, and engage the best talent. You'll work at the intersection of Product, Engineering, Data Science, and Design to solve complex hiring problems through AI, experimentation, and data-driven decision making.

Key Responsibilities

- Recruiter Experience: Define and execute the product roadmap for recruiter workflows across candidate discovery, search, ranking, recommendations, and engagement.

- Customer Discovery: Partner closely with recruiters and internal stakeholders to understand hiring workflows, identify pain points, and translate insights into impactful product solutions.

- AI Integration: Build AI-powered recruiter experiences by leveraging LLMs to improve candidate discovery, search relevance, matching, recommendations, and recruiter productivity.

- Data-Driven Decision Making: Use SQL, product analytics, and experimentation to optimize recruiter search, candidate ranking, and recommendation experiences, driving improvements in engagement, conversion, and hiring outcomes.

- Cross-functional Leadership: Collaborate with Engineering, Data Science, Design, and Business teams to build, launch, and scale high-impact B2B products in an agile environment.

Qualifications & Skills

- Education: Bachelor's degree in Engineering or an MBA from a Tier-1 institute.

- Experience: 2-4 years in Product Management, preferably in B2B SaaS, Enterprise Software, HR Tech, Marketplace, AI, Search, or Workflow Automation products.

- Data: Strong analytical skills with hands-on experience in SQL and product analytics tools. Experience defining metrics, running experiments, and making data-driven product decisions.

- AI/ML: Familiarity with LLMs and AI-powered products. Experience integrating AI capabilities, evaluating AI experiences, or working with ML-powered products is a strong plus.

- Problem Solving: A first-principles thinker who can translate complex customer problems into simple, scalable product solutions.

- Communication: Exceptional ability to articulate the "why" behind product decisions and influence cross-functional stakeholders.