Product Manager-Manufacturing
Listed on 2025-12-16
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IT/Tech
Data Analyst, AI Engineer, Data Science Manager, Product Designer
Fishbowl is an industry leading, top supplier of manufacturing and warehouse management software for small, medium, and enterprise sized businesses across 40+ verticals. While our mission is to deliver amazing software, service, training, and support to our customers to help them grow and scale their business operations, our passion is helping people. Whether you are new to owning and operating a business, or you have been at it for 20+ years, Fishbowl provides simplicity and flow for business owners and makes it easier for them to focus on what they love most, running their business.
To support the mission of Fishbowl, we have recently partnered with Diversis Capital to invest in Fishbowl’s growth and market scale. We are well on our way to developing exciting new cloud‑based products that will continue to surprise and delight our existing and future customers. We also have exciting plans to expand our efforts internationally and are focused on building a globally oriented team that will allow us to scale our operations and future market growth potential.
THE ROLEWe are looking for a strategic, customer‑obsessed Product Manager to lead the development of AI‑powered solutions that transform how businesses manage inventory, manufacturing, and operations. In this role, you will define product strategy, shape the roadmap, and deliver intelligent tools—such as agentic workflows, predictive insights, and automated operations—that help our customers work smarter, faster, and with greater confidence.
You’ll partner with engineering, design, data science, sales, and customers to bring innovative, AI‑driven features to life in a modern cloud SaaS environment.
KEY RESPONSIBILITIES- Define and champion the product vision for AI‑powered inventory, manufacturing, and operations management.
- Translate company objectives into a focused roadmap that balances customer needs, business goals, and technical feasibility.
- Identify opportunities to leverage LLMs, predictive analytics, agentic automation, and real‑time data to differentiate the product.
- Leadership:
- Collaborate closely with engineering, sales, marketing, and customer success teams to ensure product success.
- Stay abreast of the latest advancements in integration technologies, accounting practices, eCommerce platforms, and the evolving landscape of AI tools relevant to data integration and automation.
- Evaluate and recommend AI tools and technologies that can be leveraged to enhance the functionality, efficiency, and user experience of our integration platform.
- Product Discovery & Customer Insights:
- Conduct deep customer research to understand workflows, pain points, and operational challenges.
- Validate problems and solutions through customer interviews, prototypes, and rapid experimentation.
- Stay ahead of industry, AI, and supply chain trends to guide strategic direction.
- Execution & Delivery:
- Write clear product requirements, user stories, and acceptance criteria.
- Collaborate closely with engineering and design to ensure timely, high‑quality delivery.
- Prioritize features using measurable customer impact, ROI, and data‑driven insights.
- Drive adoption of new features through enablement, demos, and go‑to‑market support.
- AI & Data Integration:
- Work with AI/ML engineering teams to implement AI models, agentic workflows, recommendation systems, and anomaly detection.
- Evaluate and refine AI performance using product analytics and customer feedback.
- Ensure responsible AI practices, data quality, and transparency in user‑facing features.
- Cross Functional Leadership:
- Align stakeholders across engineering, marketing, sales, and customer success.
- Support GTM efforts with product training, messaging, and launch materials.
- Act as the champion of the customer experience across the organization.
- Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
- 6+ years of product management experience in SaaS software (inventory, manufacturing, ERP, supply chain, or related strongly preferred).
- Proven SaaS experience delivering data‑driven or AI‑enabled products with agile product development teams.
- Strong understanding of business operations, workflow…
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