Job Opportunities API

Why join us? We're a global tech company, just not the kind you're picturing. Our almost 1,000-person team builds tools that make work better for the three billion frontline workers who keep the world moving. We've got big tech scale, without the sign-off layers or corporate theatre. Every permanent team member gets equity, so when we grow, you do too. This next chapter is about scaling smart, powered by AI, a clear vision and real ownership. Big tech impact, without the big tech ick. THE ROLE This role exists to lead a team of engineers delivering improvements to our Inspections product — SafetyCulture's most established and revenue-generating offering. You'll keep the team healthy, the delivery moving, and the codebase in better shape than you found it, while growing as a people leader in a supportive and technically engaged environment. KEY RESPONSIBILITIES - Own the day-to-day delivery of your engineering team: run planning, refinement, and sprint rhythms that keep work predictable and the team focused - Lead and develop a team of engineers through regular one-on-ones, career conversations, and coaching — creating an environment where people do their best work - Maintain and improve the technical health of the codebase, making pragmatic calls on legacy debt versus new investment based on real customer and business impact - Triage customer-reported issues and production incidents with a clear eye on ROI — distinguishing problems that need fixing from noise that doesn't - Contribute to technical direction, keeping yourself close enough to the work to be a credible and useful partner to your engineers as well as the product and design leadership triad - Spot process friction and fix it — whether that's in how the team plans, how bugs are triaged, or how engineers collaborate — without waiting to be asked - Build relationships beyond your immediate team, partnering with engineers, product managers, designers, and customer-facing functions across the business ABOUT YOU Technical Skills - Recent background as a software engineer, with experience working across complex, large-scale SaaS products - Comfortable navigating and leading work in legacy codebases: able to assess technical debt pragmatically, avoid unnecessary rewrites, and align technical priorities to product strategy - Able to contribute to technical direction, participate meaningfully in architectural discussions, and review code — you don't need to be shipping features, but your engineers should trust your technical judgement - Experienced in scoping and estimating complex features in partnership with Product, including feasibility trade-offs and high-level effort sizing - Understands what good looks like in a high-scale SaaS environment: endpoint performance, data integrity, release safety, and the operational discipline that keeps large customer workloads running well Behavioural Skills - Genuinely interested in people leadership — you see coaching, career development, and team health as core to the job, not a distraction from the technical work - Self-directed and proactive: you notice what's not working and improve it without needing someone to point it out first - Pragmatic decision-maker: you weigh trade-offs clearly, move on reversible decisions quickly, and don't let perfect get in the way of better - Strong communicator — able to give direct, useful feedback to engineers and have honest conversations with your manager and peers about what's going well and what isn't - Team-oriented and relationship-driven: you invest in the people around you and build trust across teams, not just within your own AI Skills - Actively uses AI tools as part of day-to-day work; someone who hasn't yet integrated AI tools into their workflow won't thrive here - Able to evaluate AI-generated code for quality and appropriateness, and has a view on where AI accelerates engineering work versus where human judgement is