Senior Product Manager

Angara E-Commerce Private Limited is a luxury jewellery e-commerce company founded in the year 2007. It is a subsidiary of the American company, Angara Inc., which is headquartered in Los Angeles, California. Over the last few years, Angara has grown exponentially, establishing itself as a global leader in handcrafted colored gemstone as well as diamond jewellery. Our luxury jewellery is shipped to more than 65 countries worldwide, and has a presence in the United States of America, Bangkok, Australia, Canada, and the United Kingdom. In India, our offices are located in Jaipur and Noida.

Angara was ranked the No.1 Online Jeweller in the US in 2020 by the leading American magazine, Newsweek. We were also recognized by Newsweek as 5 Year Champion on being voted among the best online jewellers in its list of “Best Online Shops” for five years in a row. That’s not all. Our ground-breaking innovation, ‘Create with Angara,’ earned us the Business Intelligence Group’s 2024 BIG Innovation Award as well as the #10 spot in Retail on Fast Company’s Most Innovative Companies 2024 list. In addition to this, we secured the prestigious Bizrate Insights Circle of Excellence Award for two consecutive years as well as the Business Intelligence Excellence in Customer Service Award 2023. Better Business Bureau has rated Angara A+ for excellence in service and our Trust Pilot rating stands at 4.5 out of 5.

We are looking for a Senior Product Manager – AI to build and scale AI-native, personalization-first D2C experiences across the customer lifecycle.

You will lead recommendation systems, CDP-driven decisioning, and agentic customer journeys , leveraging AI/ML and Generative AI to drive conversion, retention, and revenue growth .

Operating at the intersection of product, data science, and growth , you will act as a horizontal AI layer across customer funnels while driving AI-led operational efficiencies .

Key Responsibilities:

1. Personalization & Recommendations

• Own end-to-end personalization across web and app
• Build and optimize recommendation and real-time decisioning systems
• Drive impact on various business matrix including Conversion, AOV, RPV, LTV and contribution margin and more

2. AI, Gen AI & Agentic Systems

• Act as the horizontal AI layer across funnel experiences with CX teams
• Build AI use cases across:
• Content generation, discovery, and conversational commerce
• Develop agentic systems for journey orchestration, nudges, and guided selling
• Integrate LLM workflows across search, recommendations, and support
• Drive a lightweight AI innovation pipeline to prototype and scale new use cases

3. D2C Funnel & Growth

• Own the end-to-end funnel (Acquisition → Retention)
• Optimize cart, checkout, pricing, and promotions using AI
• Improve CAC, LTV, and funnel efficiency

4. Data, CDP & Experimentation

• Leverage CDPs to activate customer data and real-time triggers
• Drive A/B testing and experimentation at scale
• Track key metrics useful for business
• Continuously optimize using data and AI insights

5. AI Workflows & Operational Efficiency

• Build AI-driven automation and copilots across merchandising, marketing ops, and support
• Streamline workflows (content, tagging, QA, campaigns)
• Drive efficiency, speed, and cost optimization

6. Cross-Functional Leadership

• Partner with Data Science, Engineering, Growth, and CX teams
• Translate AI capabilities into scalable products and business outcomes
• Own roadmap and execution

7. Responsible AI

• Ensure ethical, compliant, and explainable AI systems

Skills, Tools & Background

• Strong in data analysis and experimentation (SQL required; Python preferred)
• Experience with analytics and A/B testing tools (Omniture, Power BI, GA, Mixpanel, Amplitude, etc.)
• Experience building AI/ML-powered products (personalization, search, automation) and Gen AI/LLMs
• Familiarity with CDPs, APIs, and data pipelines
• Awareness of RAG, embeddings, vector databases is a plus
• Hands-on in prototyping and AI workflow tools
• Proven ability to analyze data, run experiments, and drive impact
• Strong builder mindset —prototype, test, and scale

Experience & Education

• 5+ years in Product Management
• Experience in AI/ML, personalization and Gen AI related products
• Background in D2C / consumer tech / high-scale platforms preferred
• Bachelor’s degree in a relevant field; AI/ML coursework is a plus

If your profile resonate with JD & you're open to work at Jaipur location, Please email your CV -