PRODUCT MANAGER, DETECTION PLATFORM

Product, Full-time, Perth WA

Reports to the Head of Product

About us

This company uses AI to keep people safe across large-scale physical security networks. Our detections run in shopping centres, hotels, campuses, office buildings, stadiums and data centres. We’re looking for a Product Manager to own our detection platform as our product suite and customer base expand.

Role overview

We’re looking for a technical product manager who wants to own a product domain, not a backlog. You’ll own our detection platform: every detection the company ships, from the models that learn what’s normal on each camera to the VLM-powered custom detections customers describe in plain words.

You’ll set the detection roadmap, write the PRFAQs behind each bet and apply our quality standard to every detection before it reaches a control room. You’ll work hands-on with our ML and platform engineers on models, evaluation and architecture trade-offs. Then you’ll go on site with operators to find out which detections they actually act on.

We want every detection to be one an operator acts on, or would trust the system to act on. Detection is where that trust gets earned, and this role is central to it.

What you’ll own

- The detection roadmap and its PRFAQs. You decide what the detection platform builds next, and make the case with a customer story and a measurable commercial claim. When the evidence says a bet isn’t working, you recommend stopping or rescoping it.
- Applying our quality standard.

Precision, recall, false-positive rate and how often operators act on a detection, applied to each detection and release. Nothing ships below the standard.

- Evaluation. Labelled footage sets and pass marks for each detection, used to judge every model, prompt and threshold change before it reaches a customer.
- The detection portfolio.

Our self-learning anomaly detections (unusual time of day, location, count, speed and direction, loitering and more), VLM detections, object detection and tracking, new detection use cases, model monitoring and the operator views where detections appear.

- Clear work for engineering. Epics,



user stories and acceptance criteria the team has groomed with you, which QA can turn straight into test cases.
- Releases. UAT, Go/No-Go, enablement that partners need for your area.

For our customers, an upgrade is a privilege, not a right.

- Platform, not one-offs. Spotting which customer requests are unique and which belong in the product for every site.
- Detection’s voice in the wider product. Customer input on product-market fit and pricing, competitive intel for discovery, proposals for technical bets and regular reporting of detection results.

About you

- 3 to 6 years in product management at a B2B or enterprise software company, including a product area you owned end to end. Engineers, solutions engineers and ML practitioners who’ve moved into product are welcome.
- Real-world AI judgement. You know how models behave once they’re deployed: accuracy trade-offs, false positives, thresholds, latency, GPU cost and drift when conditions change (night, rain, a busy public holiday). You also know a detection can clear the precision bar and still be useless to an operator.
- Exposure to AI/ML is essential. You’re comfortable with precision, recall and model accuracy metrics, and you’ve built or used eval sets, confusion matrices and precision/recall curves to make product calls, and you can explain every number you present.
- Technical credibility with ML and platform engineers. You can follow a discussion of model architecture, video pipelines and on-prem inference, ask the questions that matter and make the trade-off call. You do this without telling engineers how to do their job.
- A solid writer. You’ve written PRFAQs or similar decision documents, plus user stories and acceptance criteria that engineers rated.
- Hands-on. You prototype, pull data and dig through detection logs yourself rather than waiting for a dashboard.




- High agency. You’re comfortable owning a roadmap in full within the capacity you’re given: deciding what comes next, making the case for it and living with the results.
- Bridges technical and non-technical audiences. You can take an ML engineer’s trade-off and explain it to an operator, a partner or an executive, then bring their answer back to the team.
- Holds scope. You can say no, and explain why.
- Not a jerk, no matter how brilliant. You work best collaborating with the team.
- Focused on self-improvement. You actively follow the AI landscape, including new models and what they can do. ML, VLMs and computer vision move at a rapid pace, and you’ll be spending a LOT of time in them.
- Australian working rights.

Bonus points

- Physical security, video or VMS experience: Milestone, Genetec, Nx Witness, IP cameras and RTSP.
- Shipped on-prem, edge or hybrid software. You understand versioning, upgrades, hardware limits and change management when you can’t push a fix to every customer overnight.
- Computer vision and vision-language models, including object detection and tracking (YOLO or similar) and anomaly detection.
- Hands-on with VLMs or LLMs: prompt design, evals and the trade-offs of running models on-prem rather than in the cloud.
- On-prem deployments: compute constraints, GPU sizing and hardware trade-offs for inference workloads.
- Selling through partners and systems integrators, or working with international partners and customers.
- At home on site. Much of our software runs inside customers’ own environments, so discovery happens in control rooms and on site, talking to operators and spotting patterns across customers.

What we offer

- Competitive salary and genuine ownership of a core product domain in a small team where your work is visible to customers, partners and leadership.
- Perth HQ preferred. East coast considered for the right candidate, with regular time in Perth.
- Travel to customer sites in Australia and overseas.

Reach out to MJ, [email protected] for a confidential conversation.

Perth-based role with full Australian working rights required.

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