Assistant Manager Product

Your tasks

• 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.

Requirements

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.