Data Product Manager

**Data Product Manager | Help Build Smarter Systems That Scale**

Sydney-Based | Hybrid | Full-Time
Award-Winning Legal & Accounting Platform
AI, Product & Data Strategy | Systems-Led Impact

**Make Data Mean More Than Just Dashboards**

Ever feel like your data role could offer**_ _**_more ✨_**? More strategy, more ownership, and more purpose? At Lawpath, we’re not your typical tech company - we’re Australia’s largest online legal and accounting platform, helping over 500,000 small businesses simplify how they handle legal, tax and compliance. As we scale, data is becoming a core pillar of our product and growth strategy - and we’re looking for someone to help shape it from the ground up.

We're hiring a **Data Product Manager to build the systems and intelligence layer behind our**AI-led products**, personalised user journeys, and internal automations - helping Lawpath grow smarter and faster.

**Why Join Us?**
- ** Strategic Ownership** - You’ll lead Lawpath’s data and AI enablement roadmap from day one. ✔️
- **Hybrid Flexibility ✔️**:

- **Real AI Impact**:

- Work with cutting-edge tools, large language models, and product-led growth levers. ✔️
- **Tech-Led Stack** - Use and shape a modern data stack - SQL, Segment, Intercom, Tableau, PostHog, Salesforce & more. ✔️
- **Great Perks**:

- ESOP, wellness benefits, paid birthday leave, leadership access & more. ✔️

**A Role That Aligns With Your Ambition**

At Lawpath, our values aren’t just words on a wall, they’re the foundation of how we work. Every initiative, strategy and system is built with Empathy, Transparency, Trust, Initiative and Fun at its core. Here’s how this role lives them:

- ** Transparency & Learning**- You’ll surface the metrics that drive decisions, and empower teams to move forward with clarity and confidence.
- **Initiative & Ownership**- This is a builder’s role — you’ll lead the charge in designing data systems that scale.
- **Empathy & User-Centric Design**- Whether internal tooling or product experiments, you’ll build with the end-user in mind.
- **Fun & Collaboration**- You’ll work cross-functionally across product, engineering, CX and more — and celebrate the breakthroughs along the way.

**What You’ll Be Doing**
- ** Own the internal roadmap powering Lawpath’s AI and PLG strategy** - ensuring every system, signal, and trigger is grounded in accurate, structured customer data
- **Strengthen our product data foundation** by improving and surfacing behavioural insights that drive smarter acquisition, activation, retention, and monetisation
- **Develop dashboards and metrics that shape product strategy** - not just reporting performance, but surfacing where to act
- **Manage critical internal products** that support Lawpath’s legal, accounting, and advisor workflows, driving strategy and scale.
- **Act as the bridge between data, product, engineering, and advisory teams** - aligning business goals with scalable data solutions
- **Stay at the forefront of AI and data tooling** - bringing fresh capabilities into Lawpath’s data stack and strategy

**Who This Role Suits**
- ** A data analyst or scientist with a product mindset** - excited to move from reporting into building systems that drive real product outcomes
- A systems thinker who designs with scale, automation and user experience in mind
- 4+ years in product analytics, growth, or data-focused product roles within SaaS environments
- Experienced with tools like Segment, Amplitude, Tableau or similar
- Proficient in SQL and data modelling - able to design relational schemas, write complex queries, and support scalable data infrastructure
- Confident navigating ambiguity and excited by the impact of AI and intelligent systems
- Curious, collaborative, and excited to work in a values-led team where experimentation and impact go hand in hand

**Work with Purpose. Grow with Us.**

Ready to take your data career in a smarter direction? This is your chance to help shape the next generation of AI-led products and internal systems — all while helping Australian businesses thrive.