Senior Product Manager

Angara E-Commerce Private Limited is a luxury jewelry 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 jewelry. Our luxury jewelry 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 Jeweler 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 jewelers 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.

As a Senior Product Manager, you will lead the development and delivery of AI-powered products, with a strong focus on personalization, recommendation engines, and end-to-end customer journey optimization in collaboration with different Product Lead and owners. You will need to leverage Customer Data Platforms (CDPs) to enable real-time personalization and seamless user experiences. Your role will also encompass driving promotions engines, optimizing the cart and checkout funnel, integrating payment methods. You will translate complex AI/ML technologies into innovative, business-impacting products while upholding ethical AI standards.

Key Responsibilities:

• Lead the design, development, and optimization of recommendation systems using AI/ML techniques such as collaborative filtering, content-based filtering, matrix factorization, deep learning, and real-time data processing.
• Optimize the cart and checkout funnel using personalization, behavioral insights, and continuous experimentation—including A/B testing and UX improvements—to increase conversion rates and reduce abandonment.
• Drive the creation and continuous improvement of promotions engines that leverage AI/ML to deliver targeted, dynamic promotions and offers.
• Oversee integration of diverse payment methods to ensure a smooth, secure checkout experience aligned with customer preferences and market requirements.
• Utilize Customer Data Platforms (CDPs) collaboratively with engineering, central analytics, marketing, and other stakeholders to enable onsite real-time personalization across all funnel stages.
• Apply deep product funnel awareness—from Acquisition to Referral—to tailor personalization and optimization strategies suited for each stage of the customer lifecycle.
• Partner with engineering, data science, UX, marketing, and sales teams to deliver scalable, robust AI/ML-driven, personalized user experiences and funnel optimizations.
• Advocate for responsible AI best practices including fairness, transparency, privacy compliance (GDPR, CCPA), and bias mitigation.
• Define, track, and analyze KPIs related to AI model accuracy, personalization effectiveness, funnel conversion rates, payment success rates, and post-purchase engagement; drive continuous improvement through experimentation and A/B testing.
• Communicate complex AI/ML and product strategies to technical and non-technical stakeholders to ensure alignment and informed decision-making.

Ideal Candidate:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degrees or AI/ML certifications preferred.
• 7+ years of product management experience with AI/ML products, personalization/recommendation systems, CDP-driven initiatives, and ecommerce funnel optimization.
• Expertise in AI/ML methodologies including supervised/unsupervised learning, reinforcement learning, NLP, and computer vision.
• Deep knowledge of personalization, recommendation algorithms, promotions engines, and funnel optimization techniques.
• Experience with payment gateway integrations and understanding of payment method optimization.
• Hands-on experience leveraging Customer Data Platforms (e.g., Segment, Salesforce CDP) for powering real-time personalization and analytics.
• Familiarity with data pipelines, ETL, APIs, real-time processing, and data governance principles.
• Proven track record of managing end-to-end product roadmaps, Agile delivery, and user-centric design.
• Data-driven decision-maker with experience in A/B testing, analytics, and performance measurement.
• Expertise in translating funnel insights into actionable strategies across promotions, cart/checkout, payment, and post-purchase stages.