AI Product Manager — Agentic Delivery Leader

Future Secure AI; Sydney; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible work environment

Growth trajectory

Competitive salary

Diversity and creativity

Job summary

Future Secure AI is hiring an exceptional Product Manager - AI & Agentic to own end-to-end delivery of complex AI projects from scoping through post-delivery, ensuring high-impact results on time and on spec. You will partner with engineers, data scientists, and quality specialists in a cross-functional team to deliver customer-focused AI use cases.

This role combines product management, technical fluency, and agile execution.

Qualifications

• 8+ years of experience as a Technical Consultant, Product Owner, Product Manager, or in a delivery-focused role in a technology or AI environment
• Working understanding of APIs and data schemas, with credible engagement with technical counterparts
• Ability to understand and represent data models to enable mock data creation
• Deep knowledge of agile delivery practices with a strong track record of running sprint ceremonies and managing backlogs end-to-end
• Proven ability to serve as the primary customer liaison on complex projects, building trust, managing expectations, and maintaining clear communication throughout delivery
• Extensive experience facilitating requirement and scoping workshops with multiple stakeholders, including drafting templates, mappings, and process documentation
• Demonstrated ability to coordinate UAT, including scenario validation, session scheduling, feedback triage, and production-readiness planning
• Strong analytical skills with the ability to translate ambiguous customer needs into clear, actionable requirements, user stories, and a feasible AI solution approach
• Excellent written and verbal communication skills, including the ability to craft status updates and present compelling demos to customer stakeholders
• Comfortable navigating fast-paced, high-accountability environments where delivery outcomes are directly tied to customer ROI
• Proficiency in business analysis and delivery tools such as Jira and Confluence

Responsibilities

• Act as the single point of accountability for delivery across the full lifecycle
• Map customer journeys, define Use Cases, manage scope change, and drive customer alignment
• Lead discovery and scoping workshops, translating customer needs into a well-defined AI solution design
• Act as an early warning system for delivery risks, surfacing major scope deviations and budget impacts
• Conduct detailed analysis of data, processes, and workflows to support decision-making and risk management
• Partner with Engineering on project design, non-functional requirements, API discovery, feasibility, and AI product readiness
• Lead all agile ceremonies and sprint activities, including writing and validating user stories, tracking scope, and removing blockers
• Plan and facilitate lo-fi demos at milestones and manage customer expectations
• Coordinate UAT end-to-end: kick-off, review sessions, feedback triage, and Go/No Go decisions
• Work across a portfolio of complex use cases and contribute to new AI projects
• Serve as the primary customer-facing lead during the build, with weekly status cadences
• Translate customer requirements into use case execution plans and roadmaps
• Support Engagement Leads by providing use case context and completion status
• Join customer meetings to validate requirements and address concerns transparently

Skills

APIs & data schemas understanding

Agile delivery practices

Stakeholder management

Analytical thinking

Excellent communication

Cross-functional collaboration

Tools

Jira

Confluence

Job description

Future Secure AI is hiring an exceptional Product Manager - AI & Agentic to own end-to-end delivery of complex AI projects from scoping through post-delivery, ensuring high-impact results on time and on spec. You will partner with engineers, data scientists, and quality specialists in a cross-functional team to deliver customer-focused AI use cases.

This role combines product management, technical fluency, and agile execution.