Product Manager II

Overview

Product Manager II to join the Parts Product team and build next-generation B2B wholesale, warehouse/inventory management, and AI-powered product capabilities for Tekion's Parts Management module within the ARC dealer management platform.

What you'll do

• Own product capabilities end-to-end: drive discovery, requirements, prioritization, development, launch, and adoption for defined wholesale, warehouse/inventory management, and AI-powered workflows.
• Build AI-powered product experiences by identifying opportunities to leverage generative AI, intelligent automation, and predictive insights to simplify workflows, improve decision-making, and enhance user productivity.
• Solve meaningful customer problems by engaging with dealership users, enterprise customers, and internal stakeholders to understand operational challenges, identify root causes, and translate insights into scalable product solutions.
• Shape product direction by partnering with product leadership on roadmap priorities, evaluating opportunities, and making informed trade-offs based on customer and business impact.
• Drive product execution by collaborating with Engineering, Design, QA, and AI/ML teams to define clear requirements, user journeys, acceptance criteria, and deliver high-quality solutions.
• Build for scale by designing intuitive, efficient workflows supporting high-volume wholesale transactions, order fulfillment, inventory visibility, and multi-location operations.
• Deliver measurable outcomes by defining and tracking product success metrics, including adoption, operational efficiency, fulfillment accuracy, AI effectiveness, and customer satisfaction.
• Champion product quality and customer success by partnering with implementation, support, and customer-facing teams to ensure successful launches, resolve critical product gaps, and continuously improve the customer experience.
• Bring market and technology insights about B2B wholesale distribution, warehouse/inventory management, generative AI, AI agents, and emerging enterprise technologies to identify product innovation opportunities.

What you'll need

• 3–5 years of relevant experience, preferably including hands-on product management and ownership of B2B SaaS or enterprise software capabilities.
• Hands-on experience building and launching AI-powered product features, with demonstrated ability to translate business problems into practical AI use cases and measurable customer value.
• Working knowledge of generative AI, LLMs, AI agents, and intelligent automation, including an understanding of their capabilities, limitations, and applicability to enterprise workflows.
• Strong understanding of at least one relevant domain: wholesale distribution, order management, warehouse/inventory management, supply chain, logistics, or commerce.
• Demonstrated ability to independently drive product features from problem discovery through delivery, launch, and adoption.
• Strong analytical and structured problem-solving skills, with the ability to evaluate complex workflows, prioritize opportunities, and make data-informed decisions.
• Experience translating business problems into clear product requirements, user experiences, and actionable engineering deliverables.
• Ability to collaborate with Engineering and AI/ML teams to evaluate AI solution feasibility, define success criteria, and ensure reliable, scalable product experiences.
• Excellent communication and stakeholder management skills, with the ability to collaborate across technical and business teams.
• A customer-first mindset, strong accountability, intellectual curiosity, and the ability to thrive in a fast-paced, high-growth environment.

Nice to have

• Experience with vertical SaaS or enterprise applications supporting industry-specific operational workflows.
• Experience building AI-powered enterprise solutions, including AI copilots, agentic workflows, intelligent recommendations, or automation, with familiarity in LLMs, RAG, and AI evaluation frameworks.
• Product management experience in warehouse/inventory management, procurement, supply chain, order management, or ERP systems.
• Knowledge of automotive dealership operations, dealership management systems (DMS), or automotive parts management.
• Experience with integrations and workflows spanning multiple functional areas within an enterprise platform.

Details

• Location: Bangalore HQ.