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 :

• Languages we use: English, TypeScript, Java, Python, SQL 

• Data systems: PostgreSQL, DuckDB, Databricks, OLTP/OLAP 

• Platforms: cloud native on AWS (with Ansible + CDK), Datadog, Modal, LangFuse 

• AI/LLM: OpenAI/Anthropic models, Pydantic, AI SDK, LangChain4J, XGBoost, Prophet 

• UI: React, Jotai/Redux Toolkit, BFF, data viz, possibly WASM in the future 

• Systems: mix of serverless, services, and monolith 

• Way of working: cycles, communication over process 

• Dev tooling: Claude Code, Codex. We build AI, and we build with AI 

Details :

• Auckland-based, hybrid (3 days in-office / 2 at home) 

• We're open on level. Whether you're a strong senior engineer or someone with 15 years under your belt, we'll meet you where you're at in terms of title and compensation. 

Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals. 

FEQ327R93

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.

CSQ327R17

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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 :

• Languages we use: English, TypeScript, Java, Python, SQL 

• Data systems: PostgreSQL, DuckDB, Databricks, OLTP/OLAP 

• Platforms: cloud native on AWS (with Ansible + CDK), Datadog, Modal, LangFuse 

• AI/LLM: OpenAI/Anthropic models, Pydantic, AI SDK, LangChain4J, XGBoost, Prophet 

• UI: React, Jotai/Redux Toolkit, BFF, data viz, possibly WASM in the future 

• Systems: mix of serverless, services, and monolith 

• Way of working: cycles, communication over process 

• Dev tooling: Claude Code, Codex. We build AI, and we build with AI 

Details :

• Auckland-based, hybrid (3 days in-office / 2 at home) 

• We're open on level. Whether you're a strong senior engineer or someone with 15 years under your belt, we'll meet you where you're at in terms of title and compensation. 

Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals.