Staff Software Engineer

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.

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.

• 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.

• 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.

• 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.

• Track record operating at staff-level scope in high-growth product companies.
• Deep systems thinking: data modelling, performance, reliability, platform boundaries, security by design.
• Elite execution under uncertainty: you ship material value without a "requirements buffet."
• Strong debugging and troubleshooting skills. Some problems are hard to reproduce, but that would never stop you.
• Strong communication skills for effective interaction with technical and non-technical colleagues.
• Proven capability to own the delivery of complex features from product design through to production support.
• Pragmatism in choosing solutions and flexibility in adjusting along the way.
• Resourcefulness in finding minimal but viable solutions to new requirements.
• A commitment to delivering high-quality, stable code with frequent releases.
• Curiosity in finding and experimenting with new technologies and tools.
• Hot burning passion to ship software to hundreds of thousands and millions of user to change their lives.

• Leverage: Small AI-enabled team = 10x the impact of a traditional engineering role.
• Ownership: You'll own product domain areas end-to-end.
• Scale: 1M+ users, pure PLG, bottom-up motion. This is PLG at its best.
• Learning: Work directly with founders who obsess over data, experimentation, and exceptional execution.
• Impact: Every experiment you run, every feature you ship, every colored pixel you build matters immediately.
• Flexibility: Remote-friendly, autonomy-first culture. We trust you to do your best work.

• Build what is right for the customer: We move from customer feedback to customer outcomes ASAP.
• Ship fast but thoughtfully: We look ahead, but deliver every day. Outcomes over activity.
• Data-driven decision making: We use rigorous analytical thinking. Data informs, intuition guides.
• Autonomy allows us to do our best work: We work independently, collaborate in small teams, and keep noise minimal.
• Transparency, trust, empathy: We communicate clearly, share openly, and elevate each other.
• Measured growth drives long-term success: We don't grow for growth's sake. We organise ourselves to bring out the best in our people and focus on what customers need.