- Identify opportunities to apply AI across the VIP member journey.
- Translate RM workflows into scalable AI-powered product features.
- Define product requirements for AI-enabled capabilities.
- Define metrics to evaluate AI features.
- Run experiments and iterate based on usage and outcomes.
- Drive adoption of AI tools within RM workflows.
Ideal Candidate:
- 1.
Strong Associate Product Manager
Profile with AI/ML-enabled product experience.
- 2. Mandatory (Experience 1): Must have 2 years of experience in Product Management, Product Analytics, or a Technical Product role with the recent 1 year in a B2C Product company.
- 3. Mandatory (Experience 2): Must have hands-on experience working on AI or ML-enabled products.
- 4. Mandatory (Experience 3): Must have experience working with data-driven products, including defining metrics and running experiments to evaluate features.
- 5. Mandatory (Experience 4):
Must have experience translating operational or user workflows into scalable product features and defining clear product requirements.
- 6. Mandatory (Skill 1): Must have robust analytical thinking and structured problem-solving ability.
- 7. Mandatory (Skill 2): Must be able to work cross-functionally with engineering, analytics, and operations teams.
- 8. Mandatory (Communication): Must have strong communication skills to work across technical and business stakeholders.
- 9. Mandatory (Company): B2C Product companies.
- 10. Mandatory (Education): Graduated from any of the following Tier 1 colleges - IIT Madras, IIT Delhi, IIT Bombay, IIT Kanpur, IIT Kharagpur.
- 11. Mandatory (Stability): Must have stayed for a minimum of 2 years with each of the previous companies. Short tenures are acceptable provided the candidate has demonstrated stability through longer tenures elsewhere in their career.
- 12. Mandatory (Note 1): The candidate will be working for the VIP/elite product of Shaadi.com.
- 13. Mandatory (Note 2): Avoid candidates from fintech/banking/insurance/financial services domain.
- 14. Preferred (AI Depth): Familiarity with LLM-based applications.