Associate Product Manager
Talentlo
Delhi, IndiaFresher1d agovia LinkedIn
About the Role
Talentlo is India’s AI decision engine for tech teams. As an Associate Product Manager at Talentlo, you will support the end-to-end lifecycle of AI-driven hiring products, from discovery through delivery and iteration. This is a full-time, on-site role based in Delhi, India.
Key Responsibilities
- Collaborate with senior product managers, engineers, data scientists, and designers to translate customer needs into clear product requirements and user stories.
- Analyze user behavior and feedback.
- Track product performance metrics.
- Help prioritize the roadmap to improve decision intelligence, transparency, and user experience.
- Conduct market and competitive research.
- Coordinate product releases.
- Document features.
- Ensure stakeholders are aligned on goals and timelines.
- Assist in creating demos and product collateral for sales and customer success teams.
Requirements & Tech Stack
- Product Discovery and Requirements Skills: user research, market analysis, translating insights into clear user stories and acceptance criteria.
- Product Execution Skills: backlog management, sprint coordination, working closely with engineering and design to deliver features on time.
- Analytical and Data-Driven Skills: comfort with metrics, dashboards, A/B testing, using quantitative and qualitative insights to inform product decisions.
- Communication and Collaboration Skills: ability to present product updates, align cross-functional stakeholders, and document decisions clearly.
- Basic Technical and UX Understanding: ability to grasp AI-driven products, APIs, and user experience principles.
Qualifications
- Bachelor’s degree in engineering, business, computer science, or a related field.
- Experience or internships in product management or SaaS.
- Familiarity with HR tech or recruitment platforms.
- Beneficial Qualifications:
- Experience in fast-paced startup environments.
- Knowledge of the Indian tech hiring ecosystem.
- Strong interest in AI, decision intelligence, and responsible data use.