Product Manager

Summary

Implentio is building the intelligence layer for modern ecommerce operations. They are seeking a Product Manager to lead product initiatives from discovery through launch, with a focus on turning customer problems into scalable product improvements.

Responsibilities

• Own core product initiatives end-to-end, from problem definition and customer discovery through design, development, and launch
• Work directly with customers to deeply understand how DTC brands manage parcel and 3PL operations, translating real operational pain points into high-impact product opportunities
• Partner closely with engineering and design to ship thoughtful, high-quality features that solve complex operational problems
• Define product requirements and priorities using a mix of customer insight, data analysis, and company strategy
• Shape the evolution of our platform as we expand our AI-driven capabilities for logistics intelligence, cost recovery, and operational decision-making
• Help design and ship AI-enabled product capabilities, ensuring they are reliable, explainable, and genuinely useful within real operational workflows
• Analyze product usage and operational data to identify opportunities for automation, optimization, and new product capabilities
• Collaborate with leadership, customer success, and sales to ensure the product delivers measurable value to customers
• Help build the product culture and processes of a growing company where clarity of thinking and strong execution matter

Skills

• 3 to 5 years of experience in product management or a closely related role with real ownership and cross-functional execution
• Strong product judgment. You can identify the real problem behind the noise and prioritize work that creates meaningful customer and business impact
• A builder's mindset. You are comfortable operating in an environment where the path is not always fully defined and where product managers are expected to drive outcomes, not just manage processes
• Technical fluency. You do not need to be an engineer, but you are comfortable working closely with engineers, understanding technical tradeoffs, and reasoning about data and systems
• Analytical thinking. You are comfortable working with data to understand product usage, identify patterns, and inform product decisions
• Clear communication. You can articulate complex ideas clearly and concisely across engineering, leadership, and customers
• Customer confidence. You are comfortable speaking directly with customers and leading discovery conversations, understanding operational challenges, and representing the product thoughtfully in front of sophisticated operators
• Ownership and accountability. You take responsibility for outcomes and follow problems through until they are solved
• Curiosity about operations. You are interested in how complex systems work, including logistics networks, operational workflows, and the data behind them
• Customer-obsessed. You are motivated by solving real problems for customers and take the time to deeply understand their workflows, constraints, and goals
• Curious and analytical. You enjoy digging into complex systems, working with large datasets, and using data to uncover insights and guide product decisions
• High standards for quality. You care about getting the details right and consistently deliver thoughtful, well-executed work
• Strong ownership and prioritization. You are comfortable operating with limited direction, focusing on the work that matters most and driving it through to completion
• Collaborative and low-ego. You communicate clearly, work well across engineering, leadership, and customers, and value great outcomes over personal credit
• Technically and product fluent. You understand SaaS product development, are comfortable partnering with engineers, and are thoughtful about how AI and data can meaningfully improve products and workflows
• Experience in fulfillment operations, logistics, 3PL, or ecommerce is strongly preferred
• Experience with technical, complex products built on large datasets is also strongly preferred
• AI product experience. You have helped ship LLM-powered features to production and have owned at least one or two AI-enabled capabilities from concept through launch and iteration. You understand the realities of deploying AI systems in production, including reliability, evaluation, prompt design, and operational tradeoffs

Qualifications

Must Haves

• 3 to 5 years of experience in product management or a closely related role with real ownership and cross-functional execution
• Strong product judgment. You can identify the real problem behind the noise and prioritize work that creates meaningful customer and business impact
• A builder's mindset. You are comfortable operating in an environment where the path is not always fully defined and where product managers are expected to drive outcomes, not just manage processes
• Technical fluency. You do not need to be an engineer, but you are comfortable working closely with engineers, understanding technical tradeoffs, and reasoning about data and systems
• Analytical thinking. You are comfortable working with data to understand product usage, identify patterns, and inform product decisions
• Clear communication. You can articulate complex ideas clearly and concisely across engineering, leadership, and customers
• Customer confidence. You are comfortable speaking directly with customers and leading discovery conversations, understanding operational challenges, and representing the product thoughtfully in front of sophisticated operators
• Ownership and accountability. You take responsibility for outcomes and follow problems through until they are solved
• Curiosity about operations. You are interested in how complex systems work, including logistics networks, operational workflows, and the data behind them
• Customer-obsessed. You are motivated by solving real problems for customers and take the time to deeply understand their workflows, constraints, and goals
• Curious and analytical. You enjoy digging into complex systems, working with large datasets, and using data to uncover insights and guide product decisions
• High standards for quality. You care about getting the details right and consistently deliver thoughtful, well-executed work
• Strong ownership and prioritization. You are comfortable operating with limited direction, focusing on the work that matters most and driving it through to completion
• Collaborative and low-ego. You communicate clearly, work well across engineering, leadership, and customers, and value great outcomes over personal credit
• Technically and product fluent. You understand SaaS product development, are comfortable partnering with engineers, and are thoughtful about how AI and data can meaningfully improve products and workflows

Nice to Haves

• Experience in fulfillment operations, logistics, 3PL, or ecommerce is strongly preferred
• Experience with technical, complex products built on large datasets is also strongly preferred
• AI product experience. You have helped ship LLM-powered features to production and have owned at least one or two AI-enabled capabilities from concept through launch and iteration. You understand the realities of deploying AI systems in production, including reliability, evaluation, prompt design, and operational tradeoffs