Software Engineer, Learn
Indexed description
Skills
Having powered millions of skills evaluations, CodeSignal is trusted by leading companies like Netflix, Capital One, Meta, and Dropbox, and is used by learners across the globe. Some of our latest accomplishments include:
🏆 Winning two 2026 Newsweek AI Impact Awards for measurable customer outcomes in both hiring and learning
🫶 Earning a spot on the 2026 Top 100 Inspiring Workplaces in North America for our culture of trust, freedom, and ownership
🌟 Ranking #2 in Education on Fast Company's prestigious World’s Most Innovative Companies of 2025 list
⬆️ Being recognized by TIME magazine as one of the World’s Top EdTech Companies
🎙️ Joining The Deep View to talk about using AI to fix hiring and re-skilling
🎬 Seeing Cosmo featured in Times Square three times in as many months
What makes a Signalite?
Signalites are the incredible people who make up CodeSignal’s global team. We believe every Signalite should be given the context to understand decisions, the freedom to act independently, and the responsibility to do what’s right. These principles build upon each other to drive motivation, speed, innovation, and a results-oriented, high-performing culture. We believe that culture is not just about principles, but also behaviors. This belief can be seen and felt in everything we do as Signalites.
The Role
We’re looking for a Software Engineer to join our Learn engineering team and build practice-first learning experiences used by developers around the world. You’ll be an integral part of a small, high-impact team working on one of CodeSignal’s fastest-growing product areas, including CodeSignal Learn and Cosmo (our AI Tutor).
This is an individual contributor role for engineers who want to grow technically, take ownership of meaningful features, and work on products that directly impact how people learn and develop skills.
Day-to-day
- Design, build, and iterate on high-quality learning experiences
- Review code, uphold engineering standards, and contribute to architectural decisions
- Collaborate closely with Product and Design to shape what we build and how it’s delivered to users
- Jump into problems as needed -- debugging, unblocking teammates, or troubleshooting with our support and customer-facing teams
- Explore new technologies and approaches to expand and improve the platform.
- 2+ years of professional, full-time software engineering experience (web or mobile experience preferred)
- Strong communication skills, both written and verbal, with the ability to work effectively with technical and non-technical stakeholders
- Demonstrated ownership, drive, and initiative in delivering high-quality work
- Ability to work full-time and collaborate with a team operating in US Pacific time (candidates in or near Pacific time preferred).
- Experience with any part of our stack, including TypeScript, React, Next.js, Node, or PostgreSQL.Familiarity with React Native or mobile development (relevant for our Cosmo mobile app).
- Background in EdTech, HR Tech, or other learning or assessment products.
- Prior experience at a tech startup or scale-up.
💰 Competitive salaries based on local market
🩺 Medical, dental, and vision insurance
🥳 Team activities and get-togethers to connect with your fellow Signalites
🏝 Unlimited PTO and remote-first work policy
📚 Continuous learning with educational reimbursements provided
💻 Equipment provision and generous home office setup stipend
💙 A challenging and fulfilling opportunity to join a fast-growing SaaS company
Compensation
In accordance with local regulations in jurisdictions where CodeSignal may hire, we are projecting an annual total compensation in the range of $100,000 to $250,000. This range encompasses all seniority levels eligible for this position.
Here at CodeSignal, our total compensation offer packages contain base salary plus additional compensation in the form of commission or performance bonuses. Offer packages also include equity and/or additional benefits such as those described above. Offers are awarded on an individual basis and are subject to factors such as, without limitation, a candidate’s level of experience, growth trajectory, and local labor market.
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