Staff Product Designer - Figma

Description : Role & Responsibilities : - UX/UI Matchmaker : Lead end-to-end design for apps/web from profile swipes to wedding planning flows. Turn "single" users into "success stories" with intuitive, delightful interfaces! - Design System Guru : Build, own & evolve our Shaadi Design System (Figma-based) components, tokens, guidelines that scale across products. No more design debt drama! - B2C Superpowers : Deep-dive user research, A/B tests, & analytics in high-traffic consumer apps. Personalize journeys for 35M+ users think AI matches, chat boosts & premium perks! - Cross-Func Collab : Partner with PMs, Engg, & Data teams to ship fast. Mentor juniors, run critiques, & evangelize design thinking. Be the "design doctor" for sticky features! Ideal Candidate : - Strong Product Designer, with focus on B2C Products - Mandatory (Experience 1) : Must have 5+ YOE in Product Design (both UI and UX) with at least 2 year in B2C companies - Mandatory (Experience 2) : Must have atleast 1 year experience building or working with highly scaled Design systems in a B2C company (non-negotiable) - Mandatory (Skills) : Must have strong knowledge and experience of design with Ai tools (Figma Cloud, Chatgpt) - Mandatory (Portfolio) : Must have strong product design portfolio of Good B2C Products, with at least 2 detailed case studies - Mandatory (Company) : B2C Product companies, B2B experience with prior exposure to B2C is also acceptable (High scaled company, mostly unicorns) - Mandatory (Stability) : Must have stayed for a minimum of 2 years with each of the previous companies - Mandatory (Note 1) : CV must have portfolio link with at least 2 detailed case study - Mandatory (Note 2) : This will be a complete IC role - Mandatory (Note 3) : CTC is inclusive of 5%variable - Preferred (Education) : Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc) - Preferred (Skills 1) : Experience in subscription-based or marketplace products, CRO, and international market localization - Preferred (Skills 2) : Exposure to AI-powered personalization and recommendation systems