Product Manager

Horizon Labs is a Melbourne-based AI and digital engineering consultancy. We’re remote-first, with teams across Australia and the Philippines, building and running production software for a small number of clients we know well. Our Product Managers don’t sit between clients and engineering teams relaying requirements. They own outcomes on live, revenue-generating products. They’re measured on what moves, not what ships. This is a Melbourne-based role. You’ll work remotely day-to-day, with the ability to spend time in person with our team and clients for discovery, planning, workshops and key product sessions. The role We’re looking for an experienced Product Manager to own product outcomes on a high-traffic consumer eCommerce platform where conversion, average order value and lead quality matter. The platform has real traffic, real customers and enough data to test ideas properly. There are more opportunities than there is capacity to pursue them. Your job is to work out what’s worth doing, prove it with evidence, and get it shipped. Two things make this role different. Experimentation-led. A meaningful part of the roadmap runs through controlled experimentation. You’ll own the programme from hypothesis through to measurement and decision. AI-first. We expect AI to be embedded in both how you work and the products you help create. What you’ll do • Own the product roadmap and the commercial outcomes behind it. Turn business goals into a prioritised, evidence-backed roadmap and understand what each initiative is expected to move. • Run the experimentation programme. Own hypotheses, prioritisation, test design, measurement, readouts and the decision to ship, iterate or kill. • Work across the full funnel, including search and discovery, product and offer presentation, pricing, checkout and enquiry flows, and post-purchase. • Lead AI product opportunities. Identify where AI can materially improve customer experience or unit economics, including personalisation, conversational discovery, content at scale and sales-assist, and take credible opportunities from idea to production. • Be a trusted product partner to clients. Work directly with executives and commercial, marketing and sales teams. Present results, defend priorities and say no with evidence. • Work inside the delivery team. Write clear product requirements, lead refinement, accept work against intent and partner closely with design and engineering. How we expect you to work with AI We’re not looking for someone who has simply tried ChatGPT. We’re looking for a Product Manager whose working practice has already changed because of AI. You should be comfortable using AI to: • Synthesise research, reviews, support conversations and sales-call notes into defensible insights quickly. • Draft and challenge PRDs, test plans, hypotheses and experiment readouts. • Build working prototypes yourself using tools such as Claude Code, Cursor, v0, Lovable or whatever comes next, so people can react to something real before engineering time is committed. • Generate and pressure-test experiment hypotheses, copy and creative at scale. • Analyse experiment results and mine previous tests for patterns. You also understand what changes when AI becomes part of the product itself, including non-deterministic outputs, evaluations, guardrails, latency, cost and measurement. Most importantly, you know when AI output is confidently wrong and have the judgement to challenge it. What we need: Essential • 8+ years in product management, with significant experience owning live digital products with meaningful traffic, commercial targets and measurable customer outcomes. • Strong eCommerce or high-volume digital conversion experience. You can talk fluently about conversion rate, AOV, revenue per visitor and lead-to-sale. • Hands-on experimentation experience. You’ve designed and run A/B or multivariate tests yourself, not just approved them. • Strong understanding of experimentation fundamentals, including statistical significance and power, minimum detectable effect, sample ratio mismatch, peeking and novelty effects. • An AI-native working practice you can demonstrate with real examples. • Strong analytical capability. Comfortable with Amplitude, GA4 or equivalent, able to interrogate data and read SQL rather than always waiting for an analyst. • Consulting, agency or other client-facing experience. You’re comfortable working directly with senior stakeholders. • Experience working closely with engineering teams, including distributed and cross-time-zone teams. • Australian work rights, Melbourne-based and available across AEST/AEDT business hours. Highly regarded • Travel industry experience, including tours, packaged holidays, OTAs, airlines or accommodation. • Deep experience with Optimizely Web Experimentation, including building and QA-ing experiments, audiences and metrics, working with its Stats Engine, and running an experimentation programme at scale. Equivalent depth with VWO, AB Tasty, Convert or similar also counts. • Experience shipping AI or LLM-backed features into production, including evaluation and measurement. • Personalisation and segmentation experience, including CDPs, recommendation systems or audience-driven experiences. • Exposure to headless commerce, CMS and CRM platforms. • Enough technical depth to prototype in code and understand what an engineering team is building. How we work We’re remote-first, but this is a Melbourne-based role. You’ll work remotely day-to-day, with in-person time used deliberately for client workshops, discovery, planning and sessions where being in the room makes a difference. You’ll work in small teams with short feedback loops and direct access to the people making commercial decisions.