Product Operations Lead

GoodHabitz helps organisations build learning habits at scale. We're a B2B SaaS platform operating in the human skills development space — and we're mid-transformation, moving from a sales-led model to one where the product itself drives activation, engagement, and renewal. That transformation is only real if strategy actually becomes execution. Right now, it doesn't always. That's why this role exists. As our first Product Operations Lead, you will build the operating system that connects strategy to outcomes across a growing, multi-team product organisation. You'll own how the product org plans, decides, measures, and ships — not as a process enforcer, but as a system designer who makes the whole machine run faster and more deliberately. What you'll own Product Operating System Design and run the system that connects OKRs to execution across all product teams. This means planning cadences, prioritisation frameworks, documentation standards, and product rituals — built to eliminate ambiguity and reduce coordination overhead, not to add it. Insights and decision infrastructure Build the layer that turns signals into action. You'll define how teams consume product analytics, customer research, support data, and CS feedback — and how that input flows into concrete decisions. The goal is higher signal quality and faster decision velocity. Metrics operationalisation We have defined KPIs. We don't yet have a reliable operational system around them. You'll build it — consistent metric definitions, team-facing dashboards (in partnership with our Product Data Lead), and the review rhythms that make performance visible and trusted. Execution quality Identify where work slows down and fix it. Improve planning reliability, reduce cycle time from idea to shipped outcome, and surface cross-team dependencies before they become blockers. Cross-functional alignment Product doesn't work in isolation. You'll improve how we work with Engineering, Design, Revenue, and Customer Success — aligning on outcomes, improving handoffs, and making sure the right people have the right context at the right time. AI and tooling enablement We are actively building an AI agent layer across the product org. You'll help drive the adoption of high-leverage AI workflows, improve how we use Jira, Slack, and analytics tooling, and automate the operational work that shouldn't require human judgment. What you won't own This role has a clear boundary. The Product Data Lead owns data infrastructure, pipelines, and analytics truth. PMs own product decisions and outcome spaces. You own how the system works — how data is used, how decisions are made, and how execution stays aligned. Product Ops does not own "truth". It ensures truth is used effectively. What good looks like in 6 months The product operating system is clearly defined, actively used, and trusted by teams Data flows reliably and teams reference insights in their decisions — not just in retrospectives Metric ownership is unambiguous, definitions are consistent, and performance is reviewed regularly Cross-team dependencies are visible and managed before they become fires Cycle time from idea to shipped outcome is measurably shorter The AI agent layer has grown, and tangible productivity improvements are visible