About the job

About Draftable Draftable is building the next generation of document drafting tools for lawyers. We're part of Affinda Group, a founder-led global AI company based in Melbourne, Australia.

Since launching our first legal product in 2023, over 1,300 law firms and legal teams globally have adopted our product, including leading firms like Allens, Mallesons and DLA Piper. We're growing ARR at well over 100% year-on-year, with very high win rates against incumbents and negligible churn. Our flagship document comparison product already exceeds incumbent tools, and it's just the foundation for a broader product suite we're actively building (our second legal-focused product Draftable Clean launched in March 2026).

Our ambition is to become the leading provider of document drafting solutions for lawyers, and the most loved software in a lawyer's toolkit.

• What makes this role compelling Own a new product end-to-end: From discovery through build and launch to its first paying customers
• Real traction, real distribution: Customers are actively switching to us, we’re winning head-to-head evaluations globally, and retention is best in class – your product launches with an established go-to-market engine behind it
• Reimagine how product management works: This isn’t about adopting a few AI tools – you’ll help rearchitect product processes so humans working alongside AI agents define what we build
• High trust, real autonomy: A collaborative, customer-centric culture focused on solving real problems, with flexible hybrid working
• Grow with the company: Significant career upside as the product organisation scales

Why now Legal technology is going through a generational shift. Law firms are moving away from aging, bundled platforms in favour of modern, best-of-breed alternatives. Draftable is on the right side of that dynamic. At the same time, AI is fundamentally changing how product teams work: how requirements are written, how software is built, and how fast teams can ship.

For a product manager who wants to own a product end-to-end – and to shape not just what gets built but how product management itself works in an AI-native company – this is a rare moment. Strong market tailwinds, a product customers love, a clear multi-product roadmap, and the chance to build new AI-enabled product processes from the ground up.

The role We’re looking for an experienced, customer-centric Senior Product Manager to own one of the new products on our legal roadmap end-to-end: discovery and definition, build, launch, and the early go-to-market work that sets a new product up for commercial success.

We’ve learned that a new product succeeds or fails on the foundations laid before and at launch – early customer relationships, positioning, and adoption. You’ll be accountable for your product’s commercial success – its adoption, retention and revenue – though not alone: our established Sales, Marketing and Customer Success teams give a new product distribution from day one. You’ll operate with substantial autonomy as one of the most senior product people in the team, and help raise the bar for product craft as we grow.

• You will Own discovery for a new product: speak with customers to understand their problems deeply, define and validate the product, write PRDs and build prototypes with AI.
• Lay the go-to-market foundations for launch: recruit early customers and design partners, shape positioning, and own the launch – working closely with our established Sales and Marketing teams.
• Work with engineers day-to-day to define and deliver the roadmap, owning prioritisation and acceptance testing prior to release.
• Drive post-launch growth: join customer feedback calls, analyse HubSpot pipelines, pre-sales support trends, product testing feedback and product analytics data on adoption & retention to prioritise improvements and new bets.
• Do the hands-on work too – we’re a lean team: translate customer feedback into tickets, write release notes, produce product marketing assets (demo videos, objection handling guides, etc.) and train Sales and Customer Success roles.
• Co-design AI-native product processes – structuring product definition so AI coding agents (not just human engineers) can build from it – using Cursor, Claude Cowork, Miro, Lovable, and custom internal tools.