Tactiq transforms meetings from places where work gets discussed to where work gets delivered.
Over 1 million users across tens of thousands of teams rely on Tactiq to turn meeting conversations into exceptional outcomes. We're a Series A, Sydney-based SaaS company building AI note taker for Google Meet, Zoom, MS Teams.
We're product-led growth in its purest form: individuals adopt → teams form organically → enterprises discover value → they come to us. A great product that users love. At the same time, we're a small, AI-enabled team. That means high leverage, high autonomy, and every decision matters and compounds.
The Role
Join our product engineering team, where you'll be instrumental in creating new user-centric features and enhancing existing functionalities! You'll collaborate with product, marketing, and support teams to ensure seamless feature delivery.
We need a Staff-level builder who pairs entrepreneurial drive with disciplined delivery to own company-level outcomes across a complex product and data surface.
You will own outcomes, not tasks, and you will partner as a peer with senior PMs to shape roadmap and scope.
This is NOT for you if…
- You need task lists, extensive PM/EM direction, or weekly architecture approval rituals.
- Your impact tops out at a single service/team, or you primarily optimise for individual velocity.
- You prefer clean-room design over production constraints and fast feedback.
What you’ll do
- Lead from ambiguity: turn messy, multi-constraint problems into executable and phased delivery. Clear requirements are a myth, but clear direction is not. It is also your job to make that ambiguity smaller.
- Make quick, high-leverage, and pragmatic decisions. If it's worth doing, it's worth doing right - thinking it through but not overengineering and blowing it out of proportion.
- Act as incident commander for hairy production issues; drive post-incident hardening and fixes. Not that incidents happen often - just when they do, it's urgent and important to avoid impacting too many users.
- Ship hands-on: design, code, review, and instrument - with AI-native tooling as the baseline, not the exception. It's not fun to move the buttons left and right or compare current loads to baselines - that would be the job for automated tools.
How we work
- High autonomy, low hierarchy; tight Product-Engineering loops. When we disagree, we dig down to the roots and find common ground, because we all want the same thing, in the end.
- We collaborate and support each other any time, all the time. There is always someone who can help, even if they will be acting as a rubber duck. We got your back - and you got ours.
- AI-accelerated engineering by default - but without blind trust in generated things. No matter the source, reviews and testing are reviews and testing. Using AI is not optional, but it's not a silver bullet.
- Modern tooling and constant progress. We put focused effort into getting best-in-class tools - and we change them if necessary as well, so sunk costs do not keep swimming with us.