Lead Product Engineer $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
Are you an exceptional engineer who excels at ownership, strategic impact, and solving sophisticated technical problems? This position gives you the opportunity to develop the most critical features of a product while influencing its technical trajectory and securing its long-term resilience and expansion. The technical choices you make will have direct consequences for the product and its users, providing you with the freedom to innovate and the accountability to execute.
You'll contribute to products that are reshaping education:
- TeachTap: Leverages AI to bring historical figures to life in a TikTok-like learning experience.
- TeachTales: Engages students with personalized, magical storytelling that boosts comprehension.
- TimeBack: Acts as a learning copilot that integrates with existing apps, proactively coaching students.
- Athena: Uses AI-generated videos and tests to deliver measurable academic outcomes.
You will lead the technical advancement of our products, making certain they remain scalable, maintainable, and durable over time. Through close collaboration with product teams, you will convert broad requirements into concrete technical design decisions and address intricate challenges while upholding rigorous quality standards. The decisions you make will define the product's trajectory and affect how thousands of students engage with learning and development.
We emphasize careful planning and proactive design. Our AI-first methodology automates routine work, enabling you to concentrate on strategic decisions and creative problem-solving. You will enjoy significant autonomy and the capacity to shape product direction while prioritizing enduring stability and scalability.
If you are prepared to guide the technical transformation of our SaaS products and harness generative AI to explore new frontiers, we encourage you to connect with us.
What you will be doing
- Feature Development: Architecting and building new features with emphasis on scalability, maintainability, and sustained product value.
- Requirement Engineering: Partnering with the product team to clarify requirements and guiding technical conversations to ensure features support product objectives.
- Operations and Maintenance: Overseeing and sustaining product reliability, optimizing performance, and proactively detecting and addressing challenges.
- Technical Design: Executing high-stakes technical decisions that directly influence user experiences and product scalability.
What you will NOT be doing
- Jumping between short-term projects or pursuing the latest hype-driven technology trend.
- Working on internal IT systems or outsourced projects without real-world user impact.
- Getting stuck in endless meetings or dealing with tedious infrastructure issues.
Candidate requirements
- At least 1 year of full-stack development experience, working on front and backend features.
- At least 2 years as the primary technical contributor for a SaaS product, driving strategic technical decisions.
- At least 4 years of experience working on actual SaaS products, not outsourcing or internal IT projects.
- Experience in using generative AI in your day-to-day development work.
Meet the hiring manager
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.