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. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.