Product Engineer – AI-Native SaaS

The opportunity
PartnerLinQ is building an onsite Product Engineering team that will work closely with product leadership to shape and advance the platform. This is a hands-on product-building role—not a position limited to implementing predefined tickets. You will help identify valuable opportunities, turn them into well-designed capabilities, build and test them, and work directly with customers through validation and launch.
What you’ll do

• Work closely with product leadership and customers to understand operational problems and identify product opportunities.
• Convert customer needs and early concepts into prototypes, technical designs, and production-ready features.
• Own features across the complete lifecycle: envisioning, development, testing, release, adoption, and improvement.
• Build intuitive, reliable capabilities for enterprise integration, supply-chain visibility, workflow automation, and AI-assisted operations.
• Participate directly in customer discovery, demonstrations, acceptance testing, implementation, and launch.
• Use AI throughout the development lifecycle—for research, prototyping, coding, testing, troubleshooting, documentation, and product exploration.
• Evaluate AI-generated output critically and ensure that released capabilities remain secure, explainable, testable, and dependable.
• Collaborate with developers, architects, product leaders, and customer-facing teams while remaining accountable for end-to-end outcomes.
• Improve engineering practices, reusable components, automated testing, and delivery speed as the team grows. ** What we’re looking for**
• Preferably 3–6 years of experience building and delivering customer-facing SaaS products.
• Strong software engineering fundamentals and the ability to contribute hands-on to production systems.
• Experience taking features from an ambiguous problem through design, implementation, testing, and launch.
• Practical experience with modern AI development tools, such as coding copilots, LLM-assisted prototyping, automated test generation, or agent-based workflows.
• Product judgment: the ability to ask the right questions, challenge assumptions, and balance customer value with technical quality.
• Experience collaborating directly with customers or business users during discovery, validation, or rollout.
• Strong ownership, communication, and problem-solving skills.
• Ability to work onsite in Cranbury, NJ four days each week. Particularly relevant experience Experience in one or more of the following would be valuable:
• Multi-tenant, cloud-native SaaS platforms
• Generative AI, AI agents, retrieval-based applications, or natural-language product experiences
• Data pipelines, event-driven systems, workflow orchestration, or operational analytics
• Enterprise security, governance, auditability, and role-based access control
• Automated testing and CI/CD practices Supply Chain Domain experience is helpful, but we value strong product instincts, learning agility, and engineering ownership just as highly. What success looks like Within your first six months, you will be expected to:
• Develop a strong understanding of the PartnerLinQ platform and its customers.
• Take meaningful ownership of a product area or customer problem.
• Ship production capabilities—not only prototypes.
• Participate confidently in customer conversations and product demonstrations.
• Use AI to improve development velocity while maintaining engineering quality.
• Help establish a high-ownership, collaborative culture for the growing Product Engineering team. The person who will thrive here You are a builder who is energized by an open-ended customer problem. You can move comfortably between a product discussion, a technical design, a working implementation, and a customer validation session. You use AI as a practical engineering partner, but you apply judgment rather than accepting its output blindly. Most importantly, you take responsibility for whether the feature works for the customer—not simply whether the code was completed.