Role Description As our Principal Product Manager - AI & Intelligent Manufacturing Systems, you’ll serve as a strategic and technical thought leader driving the vision, roadmap, and execution of AI-powered capabilities across MISUMI Americas Manufacturing Quoting and Fulfillment Platform. This is a highly visible, high-leverage role — one that shapes how AI and automation become foundational to MISUMI Americas operating system for new product development (NPD). You’ll partner directly with our AI R&D, data science, and platform architecture teams to define the core intelligence layer that powers quoting, supply orchestration, and manufacturing decision-making at scale. You will own and evolve the product strategy that fuses advanced AI models, data-driven automation, and manufacturing domain intelligence into a cohesive system that sets new standards for operational efficiency, precision, and speed. This role is ideal for a seasoned product leader with experience bringing AI-first enterprise platforms to life — someone equally comfortable discussing model architectures and data pipelines as they are business value and market differentiation. You will report to the VP, Product Management. Areas of Responsibility - AI Technology Strategy & Product Vision - Define the long-term AI technology strategy for MISUMI Americas digital manufacturing platform. - Partner with AI research and engineering leadership to translate R&D advances into scalable, customer-facing capabilities. - Identify and prioritize core AI product opportunities. - Drive the architectural vision for MISUMI Americas AI intelligence layer. - Evangelize the role of AI within the organization. - Deep Technical Product Leadership - Serve as the product owner for AI infrastructure and model lifecycle management. - Partner with ML engineers and data scientists to design human-in-the-loop workflows. - Own the AI feature pipeline. - Collaborate with platform engineering to ensure scalability, modularity, and compliance in AI integrations. - Drive responsible AI practices. - Solutions Integration & Application Development - Lead the development of AI-driven application modules. - Work with product teams across quoting, fulfillment, and partner management. - Ensure AI and automation capabilities are embedded seamlessly. - Act as a bridge between AI technology development and solution commercialization. - Metrics, Experimentation, and Validation - Define the performance framework for all AI-enabled systems. - Lead data-informed experimentation programs. - Champion continuous learning loops between R&D, product, and operations teams. - Cross-Functional & Executive Influence - Partner with senior leadership across Product, Engineering, Data, and Operations. - Influence architecture, resource allocation, and data strategy decisions. - Mentor and guide other product managers in the organization. - Represent MISUMI Americas externally. Qualifications - 10+ years of product management experience, including 4+ years leading AI or ML-driven products. - Startup experience with demonstrated 0-to-MVP-to-1 product ownership. - Proven track record building AI-first SaaS or enterprise systems. - Deep understanding of AI technologies. - Demonstrated success collaborating with AI research teams and data engineering. - Fluency in data infrastructure concepts. - Strong technical intuition and ability to engage deeply with engineers and data scientists. - Analytical rigor and comfort with experimentation frameworks. - Exceptional communication and influence skills. Preferred - Domain experience in manufacturing, supply chain, or CAD/CAM ecosystems. - Experience designing or managing systems with human-in-the-loop AI. - Working knowledge of product data ontologies, graph databases, or knowledge modeling. - Track record of thought leadership or published work on AI strategy. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, fingers, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch. Benefits - Competitive medical, dental, and vision insurance. - 401K plan. - Parental leave programs. - Paid volunteer days. - And much, much more! Salary Range $210,000 to $230,000 per year, based upon experience. Company Description MISUMI Americas is continuing to expand our remote US workforce. Applicants from the following states are eligible to apply: - Arizona (AZ) - California (CA) - District of Columbia (DC) - Delaware (DE) - Florida (FL) - Georgia (GA) - Hawaii (HI) - Iowa (IA) - Illinois (IL) - Indiana (IN) - Kansas (KS) - Massachusetts (MA) - Maryland (MD) - Michigan (MI) - Minnesota (MN) - Missouri (MO) - North Carolina (NC) - New Hampshire (NH) - New Jersey (NJ) - New York (NY) - Nevada (NV) - Ohio (OH) - Oregon (OR) - South Carolina (SC) - Texas (TX) - Tennessee (TN) - Utah (UT) - Virginia (VA) - Washington (WA) - West Virginia (WV) - Wisconsin (WI) - Wyoming (WY) Interested in learning more? We look forward to hearing from you soon. We’re actively seeking teammates who: - Bring diverse perspectives and experience to our culture and company. - Excel at being part of a strong, empathetic team. - Thrive in an environment emphasizing respect, honesty, collaboration, and growth. - Have an ‘always learning’ mindset that celebrates learning, not just wins. - Help us continue to build a world-class organization that values the contributions of all of our teammates. We encourage applications from members of underrepresented groups, including but not limited to women, members of the LGBTQ community, people of color, people with disabilities, and veterans.

Role Description We are looking for an experienced Product Owner with strong expertise in Snowflake or Databricks to lead the delivery of an enterprise data lake initiative. This role requires a mix of product ownership, technical understanding, and data platform experience. The ideal candidate will work closely with engineering, architecture, and business teams to translate requirements into actionable deliverables and ensure successful rollout of a scalable data platform. - Lead the delivery of an enterprise data lake built on Snowflake or Databricks from initial setup to production deployment. - Translate business and data requirements into clear user stories, acceptance criteria, and sprint plans. - Drive the creation of data ingestion and integration pipelines from SaaS applications and other enterprise systems. - Manage the full development lifecycle, ensuring milestones and deliverables are completed on time. - Prioritize the product backlog based on business value, technical feasibility, and operational needs. - Build and maintain a detailed delivery roadmap, including MVP and phased releases. - Collaborate with cloud infrastructure and DevOps teams to ensure scalable, secure, and cost-effective environments. - Track and report key performance indicators such as pipeline success rates, data processing speed, and platform reliability. - Ensure smooth handover to analytics and data science teams with proper documentation and operational readiness. Qualifications - Proven experience as a Product Owner or Product Manager in data platforms, analytics, or cloud-based systems. - Strong understanding of Snowflake or Databricks including data modeling, pipelines, and cloud architecture. - Experience working with engineering, data, and DevOps teams in Agile environments. - Ability to translate complex business needs into technical execution plans. - Familiarity with data ingestion, ETL or ELT workflows, and API based integrations. - Strong communication skills and the ability to collaborate with cross-functional stakeholders. - Previous experience in HRMS or large-scale enterprise environments is an advantage.

Role Description We are looking for an experienced Product Owner with strong expertise in Snowflake or Databricks to lead the delivery of an enterprise data lake initiative. This role requires a mix of product ownership, technical understanding, and data platform experience. The ideal candidate will work closely with engineering, architecture, and business teams to translate requirements into actionable deliverables and ensure successful rollout of a scalable data platform. - Lead the delivery of an enterprise data lake built on Snowflake or Databricks from initial setup to production deployment. - Translate business and data requirements into clear user stories, acceptance criteria, and sprint plans. - Drive the creation of data ingestion and integration pipelines from SaaS applications and other enterprise systems. - Manage the full development lifecycle, ensuring milestones and deliverables are completed on time. - Prioritize the product backlog based on business value, technical feasibility, and operational needs. - Build and maintain a detailed delivery roadmap, including MVP and phased releases. - Collaborate with cloud infrastructure and DevOps teams to ensure scalable, secure, and cost-effective environments. - Track and report key performance indicators such as pipeline success rates, data processing speed, and platform reliability. - Ensure smooth handover to analytics and data science teams with proper documentation and operational readiness. Qualifications - Proven experience as a Product Owner or Product Manager in data platforms, analytics, or cloud-based systems. - Strong understanding of Snowflake or Databricks including data modeling, pipelines, and cloud architecture. - Experience working with engineering, data, and DevOps teams in Agile environments. - Ability to translate complex business needs into technical execution plans. - Familiarity with data ingestion, ETL or ELT workflows, and API based integrations. - Strong communication skills and the ability to collaborate with cross-functional stakeholders. - Previous experience in HRMS or large-scale enterprise environments is an advantage.

Role Description We are looking for an experienced "Conversational designer" for IVR implementation program at a regional US Bank. - Deep knowledge in IVR implementations. - Collaborate with engineering, product, and business teams to inform intuitive and engaging customer experiences. - Design conversational flows, wireframes, and mockups for new and existing interactions across a variety of channels (chatbots, IVR, voice). - Advocate for the customer through human-centered research methodologies. - Create new guidelines, best practices and build a stronger foundation of conversational design principles. - Complete analysis of existing conversation paths to discover improvement opportunities in both conversation and expansion of AI or Machine Learning. - Champion prioritization of design centered product enhancements grounded in research and analysis. - Collaborate closely with Tech partners to leverage new machine learning, AI platforms, and NLP to build engaging cross channel conversational experiences. - Scope requests, develop and communicate a level of effort, plan work in a team environment, adjust quickly to changes or new information, and escalate when necessary. - Possesses in-depth knowledge of conversational AI design, User Experience (UX), Customer Experience (CX), and technical standards. Applies those standards to achieve business results while keeping up with latest industry trends. - Exhibits in-depth knowledge of the conversational AI design and business and uses that enhance business operations across the enterprise. Qualifications - 5+ years of experience in conversational design. - Application of Natural Language Processing and Conversation Design principles used in successful creation of customer facing voice/chat experiences. - Expertise and background in analysis of conversational flows and surveys. - Experience designing for cross channel experiences. - Understanding of machine learning and AI interfaces. - Effective communication and storytelling skills. - Proficiency with design tools and conversation platforms, such as Figma, DialogFlow, Amazon Lex. - Experience in prompt engineering and working with LLM and RAG systems. - Familiarity with working in an established design system. - Understanding of content strategy and design principles. - UX research and testing background, interviewing end users. - 5+ years of experience in product management, ideally within the financial services or consumer technology sector. - Experience working in an Agile environment, and familiarity with Agile methodologies. - Strong understanding of banking products, services, and regulatory requirements. - Excellent communication and stakeholder management skills.