Join Our Mission to Fix App Reviews
We are a small, focused team building the most trusted app review platform on the internet. If you care about integrity, transparency, and making the internet a more honest place, we want to hear from you.
Our Culture
We are a team of 42 people who believe that honest information is a fundamental right. Our work directly impacts millions of people who rely on app reviews to make decisions about the software they use every day.
We value depth over breadth, quality over speed, and impact over optics. We ship when things are ready, not when the calendar says so. Every team member has a direct line to leadership and a real voice in how we build our product.
We are based in San Francisco but support remote work for most roles. We gather in person quarterly for team offsites and believe that the best work happens when people have autonomy, context, and trust.
Open Positions
Senior ML Engineer - Anti-Fraud
Lead the development and optimization of our fraud detection ML pipeline. You will work with gradient boosted trees, deep neural networks, and graph neural networks to detect fake reviews at scale. Requires 5+ years of ML engineering experience, strong Python skills, and experience with real-time inference systems.
Community Manager
Manage and grow our community of 847,000+ verified reviewers. You will develop engagement strategies, moderate community interactions, create educational content, and work closely with our product team to improve the reviewer experience. Requires 3+ years of community management experience, preferably in tech or consumer platforms.
Full-Stack Engineer
Build and improve features across our web platform. You will work on our Astro/React frontend and Node.js backend, implement new review submission flows, improve search and discovery, and optimize performance. Requires 3+ years of full-stack experience with modern JavaScript frameworks and strong opinions about user experience.
Content Quality Analyst
Review and analyze flagged content to improve our automated detection systems. You will evaluate edge cases, provide training data for ML models, write moderation guidelines, and help define quality standards for published reviews. Requires excellent analytical skills, attention to detail, and experience in content moderation or quality assurance.
Benefits & Perks
Competitive Salary
Top-of-market compensation with equity for all team members.
Full Health Coverage
Medical, dental, and vision insurance for you and your dependents.
Unlimited PTO
Take the time you need. We trust you to manage your own schedule.
Remote-Friendly
Work from our SF office or remotely. We support both equally.
Learning Budget
$2,500/year for conferences, courses, books, and professional development.
Equipment Budget
Top-of-the-line MacBook Pro and $1,000 for your home office setup.
Parental Leave
16 weeks paid leave for all new parents, regardless of gender.
Equity
Meaningful stock options so you share in our success.
Don't See Your Role?
We are always looking for talented people who share our mission. Send us your resume and tell us how you want to contribute.
Send Your ResumeLast updated: April 2026