AI-Driven Technical Product Manager (Hybrid)

Verra Mobility Corporation

Wollongong City Council

Hybrid

AUD 120,000 - 180,000

Full time

14 days+

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Job summary

Verra Mobility seeks a technically curious Technical Product Manager to drive AI-enabled product delivery across road safety tech. You will translate stakeholder needs into PRDs, backlog items and decisions, while collaborating with engineering on architecture, security and compliance.

This hybrid role is based from home and our South Melbourne head office. You will leverage AI-driven workflows to synthesize requirements and deliver documentation, with a focus on reducing manual work and

Qualifications

Experience in technical product management, product ownership, senior business analysis or technology delivery.
Strong technical literacy across architecture diagrams, API specifications, compliance frameworks and vendor proposals.
Confidence working with engineering teams on software, data, integration, security and delivery decisions.
Familiarity with AI workflows, command-line tools or platforms such as Atlas Cloud, Claude Code, Power Automate or Chrome MCP.
Proficiency with Jira, Confluence and Microsoft 365.
Strong written communication across PRDs, requirements, executive updates and decision records.
Ability to turn ambiguity into clear priorities, actions and outcomes.
Ownership mindset, with the judgement to challenge constructively and follow issues through.
Customer-facing experience in enterprise, government, regulated industry, road safety, SaaS or systems integration environments would be highly regarded.

Responsibilities

Own product outcomes across one or more customer-facing programs.
Translate customer, operational and technical needs into clear PRDs, Jira backlog items and decision records.
Use AI-enabled workflows for requirements synthesis, document analysis, status reporting and specification development.
Work with engineering teams on architecture, integration, security, compliance and delivery decisions.
Maintain visibility across scope, risks, dependencies, quality and customer outcomes.
Prepare clear executive, customer-facing and technical documentation.
Identify opportunities to reduce manual work through better process design and AI-enabled workflows.