Product Software Engineer (Full Stack) at TRA

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full Stack Development, TypeScript, React, Node.js, AWS, PostgreSQL, Snowflake, API Development, AI Tooling, SaaS Product Development, Infrastructure-as-Code, Cloud Platforms, Frontend Frameworks, Database Management, Product Mindset, Technical Communication

Industry

Market Research

Description

TRA is building a next-generation insights platform that helps organisations understand their brand performance and customers better, so they can make smarter decisions. We're looking for a Product Engineer to help shape what's next. This role is ideal for an early-career engineer with high potential or an intermediate engineer ready for more ownership. We're less interested in how many years you've worked and more interested in your ability to build great products, learn quickly and solve meaningful problems. You'll join a small, ambitious product team building a SaaS platform with global reach. This is a hands-on full stack role where you'll deliver new features, improve the platform experience and explore how AI can transform the way clients interact with insights. You might be building new web-based user experiences, creating AI-assisted workflows, developing APIs, improving data flows, or helping make the platform faster, more scalable and easier to use. You'll work end-to-end - from shaping ideas and exploring technical options through to building, shipping and learning from users. What you'll do Build and improve features across our global SaaS platform Use AI tools and emerging technologies to accelerate delivery and unlock new product possibilities Work with Product, Data, Design and Client Services to turn ideas into useful, reliable product experiences Improve platform scalability, performance and usability Help shape how we build, test and ship product at TRA Bring curiosity, judgement and initiative to technical and product decisions What you'll bring Experience building modern web applications or SaaS products A strong product mindset and interest in solving real user problems Curiosity about AI and how it can change software, insights and customer experiences Confidence working across modern technologies such as cloud platforms, APIs, front-end frameworks, databases and AI tooling Ability to communicate clearly with technical and non-technical teams A bias for action, balanced with care for quality and maintainability Our stack We build on a modern, fully TypeScript codebase - React on the frontend, Node.js on the backend, running on AWS. Our data layer spans PostgreSQL and Snowflake, and we use infrastructure-as-code throughout You don't need to have worked with every part of this. Why TRA? TRA is an insights agency that combines deep human understanding with advanced data and technology to help brands make better decisions. You'll join a growing product team inside TRA, with the energy of a scale-up and the backing of an established, award-winning agency. You'll work close to real client problems, alongside experts in data, research and strategy, and help shape a platform used by major brands globally. TRA has been recognised as Research Agency of the Year, AU/NZ, at the B&T Awards 2024, AFR BOSS Most Innovative Company, Professional Services, 2024, and Campaign Asia-Pacific Research Agency of the Year. We're a flexible working environment, but this role does need to be Auckland-based. You'll spend at least two days a week in the office, working closely with the product, data, design and client teams. Ready to learn while working on a global product? Please confirm your salary expectation and your right to work in New Zealand in your application. We 'd love to hear from you!

Responsibilities

Build and improve features for a global SaaS insights platform using a full-stack TypeScript codebase. Collaborate with cross-functional teams to integrate AI-assisted workflows and enhance platform scalability and performance.