Summary
✨ AI‑Generated
Own product intent and execution in an AI-assisted development environment. You will define clear outcomes, constraints and acceptance criteria, prioritize work, maintain a healthy backlog, validate delivered results, incorporate customer feedback, and make fast decisions that keep engineering execution aligned with product goals.
Highlights
Opportunity to shape AI-assisted product development, exercise meaningful product judgment, work closely with product leadership and engineering teams, and influence sprint execution and customer-focused outcomes.
Description
Avionte is transforming staffing and recruiting software and we've transformed how we build it.
Our AI-Driven Development Lifecycle (AIDLC) means engineering teams move faster than ever.
That changes what a great Product Owner looks like.
In this environment, you're not primarily a story writer; you're an intent definer, an output validator, and a fast decision-maker.
AI can generate stories from requirements, produce code from acceptance criteria, and synthesize customer feedback at scale.
Your job is to supply the judgment it can't: sharp prioritization, clear customer context, and fast feedback on whether what got built is actually right.
This role sits within the Product Management organization and works closely with a Group Product Manager to maintain a healthy backlog and drive sprint-level execution.
What You'll Do
Define the intent behind features with enough clarity that AI-assisted development pipelines can act on it: precise outcomes, constraints, and acceptance criteria over exhaustive specificationOwn and maintain the team backlog: prioritizing work that's ready to build and sequencing it to feed a continuous delivery cycleValidate AI-generated outputs: review generated stories, acceptance criteria, and prototypes for accuracy, completeness, and alignment with customer needsPartner with your Group Product Manager to connect sprint-level work to product strategy and measurable outcomesLead sprint ceremonies: planning, grooming, demos, and retrospectives; keeping the team focused and unblockedEngage directly with customers and internal stakeholders to gather input, validate assumptions, and close feedback loops quicklyCollaborate with QA and engineering to define quality gates and support release sign-offUse AI tools actively to accelerate discovery synthesis, draft requirements, analyze patterns in feedback, and keep documentation currentSupport internal enablement on new features and releases
What You'll Need
3+ years of experience in product ownership, business analysis, or a closely related software product roleAbility to communicate with precision in an AIDLC environment, the quality of your input shapes the quality of what gets builtExperience writing acceptance criteria and functional requirements that engineering and QA can act on without back-and-forthHands-on experience in Agile/Scrum teams using tools like Azure DevOps, Jira, or similarComfort with fast iteration cycles: able to validate, give feedback, and re-prioritize quicklyStrong facilitation and communication skills across technical and non-technical stakeholdersActive user of AI tools (Claude, Copilot, or similar): we expect POs to use AI in their daily work, not just be aware of itExperience in staffing, HCM, workforce technology, or enterprise SaaS is a plusBachelor's degree preferred
