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.
Requirements
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.
Benefits
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data modellingperformancereliabilitysecurity by designdebuggingtroubleshootingsoftware deliveryAI-native toolingcodingreview
Soft skills
leadershipcommunicationpragmatismresourcefulnesscuriosityflexibilityexecution under uncertaintyproblem-solvingcollaborationdecision-making