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Product Manager - Video Analytics

Other Full-time Sydney, Australia; hybrid remote and office work

Job details

Not specified Salary
Sydney, Australia; hybrid remote and office work Eligibility
Lead Experience
Full-time Employment

About this role

Role overview

Lead product strategy and delivery for a platform that combines camera management, live video, machine vision analytics, alerting, and enterprise integrations. The role spans hardware and software, from preparing devices for deployment to helping customers onboard and use the service at scale. You will work with engineering, design, AI specialists, customers, and partners to turn product opportunities into adopted, revenue-generating capabilities.

Responsibilities

- Shape and execute the product vision, strategy, and roadmap, balancing customer needs with commercial goals. - Own the product lifecycle across cameras, compute, edge devices, software workflows, and enterprise deployments. - Lead discovery and translate customer and team insights into clear problem statements, user stories, and backlog priorities. - Coordinate with engineering, design, and AI teams to develop, test, and launch user-focused features. - Work with customers and partners to refine product-market fit and increase adoption. - Use product data, usage patterns, and feedback to assess outcomes and guide iteration; apply AI agents and automation in product work.

Requirements

- Around 2–4 years in product management, or equivalent technical, analytical, or delivery experience with strong product judgment. - Experience with commercial hardware-software products, such as device provisioning, physical deployment, edge computing, or embedded systems. - Background building or scaling complex B2B or platform products involving AI, analytics, video management, hardware, or automation. - Technical fluency and ability to work closely with engineering teams, including distributed teams. - Strong communication and stakeholder skills, with the ability to align teams around a vision and account for commercial needs. - Practical familiarity with agile delivery, backlogs, story mapping, roadmaps, and AI tools such as agents, language models, or automation.

Nice to have

- Experience in mining, resources, utilities, or transportation. - Go-to-market work, including shared ownership of pricing, packaging, or launches.

Benefits and work setup

The role is based in Sydney with a hybrid office and remote arrangement. Occasional domestic travel may be required.

Skills detected in the listing

Stakeholder ManagementMachine Learning
Detected Oct 11, 2026
Last verified Oct 11, 2026

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