Product Owner

Darize; New Jersey; Remote; USD 120,000 - 180,000; Full time

Job summary

Darize is seeking an experienced Product Owner to drive agentic AI solutions for customer-service and contact-center environments. The role focuses on moving beyond traditional Q&A to proactive actions and task delegation, delivering faster, more reliable support.

You will identify high-value use cases, work with stakeholders and engineering teams, and prioritize the backlog to balance value, risk, and feasibility. A strong emphasis on speech, UX, and trust boundaries guides development.

Qualifications

• Minimum of five years leading product-ownership or product-management for customer-facing contact-center apps.
• Experience with omnichannel solutions, especially voice and chat.
• Strong understanding of speech recognition and user experience design.

Responsibilities

• Identify and prioritize agentic AI use cases with high business value and ROI.
• Define end-to-end agentic AI experience for contact-center scenarios and translate into requirements.
• Collaborate with engineering, business stakeholders, and partners to deliver scalable, reliable solutions.
• Define success metrics and monitor product performance to drive continuous improvement.

Skills

Product ownership

Stakeholder management

Communication

Prioritization

Execution skills

Omnichannel

Job description

Location: Remote within the United States

Preference: Candidates based in New Jersey or Florida

We are looking for an experienced Product Owner to lead the development of agentic AI solutions for customer-service and contact-center environments.

The goal is to move beyond AI that simply responds to questions toward AI that can take appropriate action. These solutions will help customers receive faster, more effective support while expanding access to service around the clock.

In this role, you will identify and prioritize high-value agentic AI use cases, including operational automation, workflow coordination, and internal task delegation. You will work closely with business stakeholders, engineering teams, and technology partners to turn these opportunities into reliable, user-centered solutions.

Key responsibilities

Use-case discovery and validation:

• Identify and prioritize agentic AI use cases with strong potential business value and measurable ROI.
• Work with users and stakeholders to understand workflows, operational challenges, customer needs, and trust boundaries.
• Prototype and refine agent behaviors in production-like environments to validate usability, reliability, and business fit.
• Evaluate opportunities involving operational automation, coordination agents, and internal task delegation.

Product design and execution:

• Define the end-to-end agentic AI experience for contact-center use cases.
• Translate business needs into clear product requirements, including user journeys, system interactions, prompts, interfaces, safety requirements, and acceptance criteria.
• Combine business insight, data, and AI capabilities to shape practical, scalable solutions.
• Maintain and prioritize the product backlog based on customer value, operational impact, risk, and technical feasibility.

Cross-functional collaboration:

• Partner with business subject-matter experts to develop a detailed understanding of contact-center processes and customer journeys.
• Collaborate with engineering teams to align product requirements with voice and agent-platform capabilities, including caller-input recognition and voice experiences.
• Work with technology partners to ensure the platform can support the required complexity, reliability, and scale.
• Communicate product priorities, decisions, dependencies, and progress clearly across technical and non-technical teams.

Strategy and measurement:

• Define success metrics focused on outcomes such as time saved, improved accuracy, successful task completion, and recovery from failures.
• Monitor product performance and use operational insights to guide continued improvement.
• Balance speed of delivery with safety, customer trust, and operational reliability.
• At least five years of product ownership or product-management experience involving complex, customer-facing contact-center applications.
• Experience with omnichannel solutions, particularly voice and chat.
• Strong understanding of speech recognition and user-experience design.
• Familiarity with agentic AI concepts and technologies, including LLM-based agents.
• Strong communication, prioritization, stakeholder-management, and execution skills.
• Ability to translate complex business and technical requirements into clear product direction.

Preferred qualifications

• Experience in contact-center operations.
• Exposure to the insurance industry or another highly regulated, customer-service-intensive environment.
• Experience developing AI-enabled customer journeys or workflow-automation products.