Assistant Manager - Product

Key Responsibilities
•    Collaborate with cross-functional teams to translate business requirements into technical specifications and product roadmaps.
•    Lead software implementation programs from concept through deployment, ensuring on-time and on-budget delivery across multiple retail locations and systems.
•    Evaluate and integrate AI/ML technologies, APIs, and third-party solutions into our retail tech stack; assess build vs. buy decisions.
•    Manage product lifecycle: conduct market research, define success metrics, gather requirements, prioritize features, and measure product performance and ROI.
•    Drive adoption of new solutions across retail teams; create change management strategies and provide training/documentation to stakeholders
•    Identify and mitigate technical risks; troubleshoot implementation issues and coordinate with support teams to resolve blockers
•    Monitor industry trends in AI, retail technology, and digital transformation; present competitive insights and recommendations to leadership
•    Act as a bridge between business stakeholders and technical teams to ensure alignment and clear communication throughout the product lifecycle

Required Qualifications
•    2+ years of experience in product management, technical product management, or solutions engineering roles
•    4+ years of hands-on experience building, architecting, or deploying AI/ML solutions in production environments
•    2+ years of experience leading enterprise software implementations, preferably in retail, e-commerce, or related industries
•    Strong technical foundation: understanding of machine learning concepts (supervised/unsupervised learning, model training, validation), APIs, databases, and cloud infrastructure
•    Demonstrated experience with retail business processes: merchandising, inventory management, point-of-sale systems, supply chain, and customer analytics
•    Proven track record managing complex, multi-stakeholder projects with competing priorities and tight timelines
•    Excellent communication and presentation skills; ability to explain technical concepts to non-technical audiences and vice versa
•    Bachelor's degree in Computer Science, Engineering, Business, or related field (or equivalent professional experience)
•    Proficiency in using Claude/ Chat GPT to automate workflows and build agents.
•    PMP, Agile, or Scrum certification

Core Competencies
•    Technical Acumen: Deep understanding of AI/ML, software architecture, and implementation methodologies
•    Strategic Thinking: Ability to align technology initiatives with business objectives and competitive positioning
•    Project Management: Strong planning, execution, and risk management skills
•    Cross-functional Leadership: Ability to lead and influence teams without direct authority
•    Problem-Solving: Analytical mindset with creative approach to complex challenges
•    Customer Focus: Obsession with understanding end-user needs and delivering value
•    Adaptability: Comfort with ambiguity and rapid change in a dynamic retail environment
•    Communication: Clear, compelling communication with ability to translate across business and technical domains