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Who we are:
We're Dexibit. We love dinosaurs and data. Our Kiwi AI product helps visitor attractions (museums to zoos to theme parks) make sense of their data and make better decisions. We work with big international names alongside local favourites like MOTAT and Weta. We’ve been widely recognised in industry and picked up a few awards along the way from HiTech, NZIBA, TIN and more.
Dexibit recently joined accesso, a global technology company serving over 1,000 venues across 30+ countries. That means our platform, our reach, and the complexity of the problems we get to solve just got a lot bigger.
What we build :
Dexibit brings together our deep domain knowledge, AI-ready data platform, served through an agentic interface. We create value for our customers by addressing non-trivial tasks like strategic modelling, scheduling, operational reporting and analysing visitor feedback.
Under the hood, the AI layer orchestrates real business logic and APIs: integration packs, custom datasets and benchmarks, context control features, and our query and visualisation infrastructure.
The agentic interface is where we're investing new feature development. Think streaming, context window management, tool orchestration, sandboxed execution. There's real depth here, and real problems to solve.
Where you fit :
We're looking for a product-minded software engineer who can shape what we build and how we build it. You'll be in the code every day. But we value engineers who lead naturally: through design decisions, technical direction, mentorship, and bringing the team along.
You're full-stack, but you lean heavily to one side, whether that's backend data systems or frontend product engineering. With the depth of our problems (and the leverage that frontier LLMs now give us), we believe strong engineers need real depth on one side while being capable and willing to contribute across the stack.
What you bring :
You break complex problems into simple, elegant solutions. You're a great communicator with strong customer empathy. You're quick to understand the why behind the work.
You're a proven engineer (5+ years) with experience across different systems and domains. You've shipped impactful work and can talk honestly about the failures as well as the wins.
You bring curiosity and humility. You mentor naturally. You're not afraid to give constructive feedback, and you genuinely enjoy learning from others' perspectives.
Our tech stack :
Details :
Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals.
Ready to apply?
Apply to accesso
We're accesso Intelligence (powered by Dexibit). 🦖 🎢 🐅 🗼 🖼️ 🎡 🏟️
accesso Intelligence is the intelligence layer for the business of fun — serving iconic visitor attractions around the world. Not just data, but AI that understands how attractions actually work, helping teams make insightful decisions then act on them: getting more visitors through the door, spending, engaging, leaving happily and returning loyally, with efficiency.
With 25 years of deep industry experience behind us and Dexibit's AI pedigree inside us, you get the best of both worlds: startup culture close to the ground up, with the scale of a listed company behind you.
accesso Intelligence sits on top of the world's richest cross-vendor dataset for visitor attractions — integrating with 100+ industry source systems across ticketing, F&B, retail, queuing, CRM, operations and more. That data foundation is what makes everything else possible: the conversational insight, the forecasting, the benchmarking, the AI.
We're looking for a Data Implementation Engineer to own the technical delivery of accesso Intelligence integrations, then executing that pattern reliably and at volume across our customer base. You’ll be building upon, and maintaining, our class-leading data platform.
What makes this role distinct is the combination of technical execution with genuine understanding of how attractions actually operate commercially. A revenue share arrangement between a venue and an operating partner, a multi-operator ticketing setup, a seasonal membership model with complex redemption logic — these aren't edge cases, they're the norm. Getting the data right means understanding the business behind it.
Location: Auckland based, hybrid (~3 days in our Parnell office / optionally ~2 at home)
Reports to: VP, accesso Intelligence
Travel ✈️ Requirement: None
There's no single path to this role, especially in the age of AI. You might be:
A data or software engineer who's done integration or implementation work and wants a role where you can see the direct impact of your work on real customer outcomes
Someone from a SaaS implementation or solutions engineering background who has strong data fundamentals and wants to go deeper technically
A data analyst or BI engineer who's crossed over into pipeline and integration work and thrives at the intersection of technical delivery and customer context
Someone from the attractions, hospitality or cultural sector who's worked closely with data systems and wants to turn operational knowledge into implementation expertise
Ready to apply?
Apply to accesso
Who we are:
We're Dexibit. We love dinosaurs and data. Our Kiwi AI product helps visitor attractions (museums to zoos to theme parks) make sense of their data and make better decisions. We work with big international names alongside local favourites like MOTAT and Weta. We’ve been widely recognised in industry and picked up a few awards along the way from HiTech, NZIBA, TIN and more.
Dexibit recently joined accesso, a global technology company serving over 1,000 venues across 30+ countries. That means our platform, our reach, and the complexity of the problems we get to solve just got a lot bigger.
What we build :
Dexibit brings together our deep domain knowledge, AI-ready data platform, served through an agentic interface. We create value for our customers by addressing non-trivial tasks like strategic modelling, scheduling, operational reporting and analysing visitor feedback.
Under the hood, the AI layer orchestrates real business logic and APIs: integration packs, custom datasets and benchmarks, context control features, and our query and visualisation infrastructure.
The agentic interface is where we're investing new feature development. Think streaming, context window management, tool orchestration, sandboxed execution. There's real depth here, and real problems to solve.
Where you fit :
We're looking for a product-minded software engineer who can shape what we build and how we build it. You'll be in the code every day. But we value engineers who lead naturally: through design decisions, technical direction, mentorship, and bringing the team along.
You're full-stack, but you lean heavily to one side, whether that's backend data systems or frontend product engineering. With the depth of our problems (and the leverage that frontier LLMs now give us), we believe strong engineers need real depth on one side while being capable and willing to contribute across the stack.
What you bring :
You break complex problems into simple, elegant solutions. You're a great communicator with strong customer empathy. You're quick to understand the why behind the work.
You're a proven engineer (5+ years) with experience across different systems and domains. You've shipped impactful work and can talk honestly about the failures as well as the wins.
You bring curiosity and humility. You mentor naturally. You're not afraid to give constructive feedback, and you genuinely enjoy learning from others' perspectives.
Our tech stack :
Details :
Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals.
Ready to apply?
Apply to accesso
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