Lead the development and optimization of AI-driven recommendation systems, leveraging generative AI to create personalized content and experiences that enhance product discovery and conversion.
Explore and implement innovative applications of generative AI, including personalized product descriptions, tailored content generation, and AI-powered chat/search functionalities.
Analyze user behavior, performance metrics, and A/B testing results to identify opportunities for optimization and improvement of recommendation and AI features.
Define and prioritize the product roadmap for AI-driven recommendations and personalization, aligning with overall business objectives and customer needs.
Conduct user research and analyze customer feedback to inform product decisions and ensure a customer-centric approach to AI development.
Collaborate with engineering, data science, UX/UI, and marketing teams to define requirements, design solutions, and ensure successful product launches.
Document detailed product requirements, user stories, and design specifications for AI-powered features, ensuring clear communication and alignment across teams.
Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.

Requirements

Deep understanding of e-commerce personalization techniques, including collaborative filtering, content-based filtering, and hybrid recommendation systems.
Proven experience with generative AI models (LLMs, diffusion models, etc.) and their application in e-commerce or related fields.
Strong understanding of API integrations for AI services.
Proficiency in data analysis and interpretation, with experience using tools like Google Analytics, SQL, or similar.
Expertise in A/B testing and multivariate experimentation to drive data-driven decision-making.
Strong understanding of machine learning concepts and their application to recommendation systems and personalization.
Experience in defining and managing product roadmaps and prioritizing features based on business impact and customer value.
Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
Strong understanding of UX/UI principles and best practices, with the ability to contribute to design discussions and wireframing.
Experience working in an Agile/Scrum environment.
Customer first mentality.
Experience with cloud-based AI platforms (e.g., Google Cloud AI or Vertex AI, AWS SageMaker or Bedrock, OpenAI Enterprise).
Experience with personalization platforms.
Experience with vector databases.
Experience with prompt engineering.

Benefits

Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs
Eligible to enroll in our company’s 401(k) plan
Eligible for Time Off and Paid Sick Leave pursuant to the company’s policies
Enjoy paid holidays throughout the calendar year
Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

generative AIrecommendation systemscollaborative filteringcontent-based filteringhybrid recommendation systemsAPI integrationsdata analysisA/B testingmachine learningprompt engineering

Soft Skills

communicationcollaborationcustomer-centric approachdata-driven decision-makingagile developmentproduct managementuser researchanalytical thinkingproblem-solvingstakeholder engagement