Product Owner
About The Position
iTradeNetwork is seeking a Product Owner to define, plan, and manage products across its software suite. The role works closely with engineering, design, sales, and other cross-functional partners to translate customer requirements into solutions, own product roadmaps, and drive execution throughout the product lifecycle. The goal is to deliver scalable value for the food and beverage supply chain. The Product Owner will take ownership of AI-driven features, identify practical applications of predictive AI and deterministic machine learning, and ensure initiatives align with business and P&L goals. The role contributes to the AI/ML Platform roadmap, uses SQL and large-scale data analysis to validate hypotheses and monitor model performance, and partners with data engineering to support reliable data quality and pipelines. The position is expected to ship at least three major enhancements or new modules during the first year.
Requirements
- 2–4 years of professional Product Ownership or Product Management experience, ideally in a platform, data-heavy, or B2B SaaS environment.
- Formal education in a technical field such as Computer Science, Data Science, or AI, or prior professional experience as a Business Analyst, Data Analyst, or Supply Chain Analyst before moving into Product.
- Strong proficiency in SQL and large-scale data analysis.
- Comfort using Excel for modeling and modern tools such as LLMs or IDEs like Cursor and Claude to accelerate technical workflows.
- Experience with data validation and cleaning, including the ability to identify poor-quality input data that could undermine model outputs.
- Ability to translate complex technical capabilities into clear business value and prioritize measurable impact over novelty.
- Excellent verbal and written communication skills, including the ability to participate in technical discussions with engineers and explain rationale to Finance or Operations leaders.
- Self-starter who can work autonomously and seek leadership guidance when needed to maintain alignment with company direction.
- Must be able to demonstrate lawful ability to work in the United States.
Nice To Haves
- Product experience in a platform, data-heavy, or B2B SaaS environment.
- Formal technical education in Computer Science, Data Science, AI, or a related field.
- Prior experience as a Business Analyst, Data Analyst, or Supply Chain Analyst.
Responsibilities
- Own the product lifecycle for AI-driven features and aim to ship at least three major enhancements or new modules in the first year that drive internal efficiency or revenue.
- Identify opportunities to apply predictive AI and deterministic machine learning to real-world supply chain gaps, emphasizing certainty of output and customer trust.
- Bridge technical engineering teams and business stakeholders, including Finance, Customer Success, and Operations, to align AI initiatives with P&L goals.
- Use SQL and large-scale data analysis to validate hypotheses, monitor model performance, and identify meaningful signals in company datasets.
- Contribute to the AI/ML Platform roadmap and help ensure platform enhancements are scalable, robust, and integrated into the broader ecosystem.
- Advocate for data quality and collaborate with data engineering to optimize the data-to-feature pipeline.
- Translate customer requirements and complex technical capabilities into clear business value, collaborating with engineering, design, sales, and cross-functional partners.
Benefits
- Competitive salary packages.
- Medical, dental, vision, and life insurance benefits for employees and their families.
- Flex PTO for exempt employees and competitive PTO for non-exempt employees.
- Paid parental leave for eligible employees.
- 401(k) matching.
- Tuition reimbursement on approved programs.
- Health and well-being benefits, including Teladoc for general medical and mental health care.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
