Product Engineer (Full-stack)
AI Summary
Full-stack product engineer responsible for designing, developing, and shipping features for an AI-powered onboarding platform; focuses on UI, API integrations, and a compliance rules engine to streamline employee onboarding.
About this role
About Onboarded
At Onboarded, we're building the AI-powered infrastructure for onboarding and compliance. Companies across staffing, gig work, and franchising trust us to onboard thousands of employees each month—securely, compliantly, and efficiently.
We believe the future of onboarding isn't just forms and checklists. It's intelligent agents, dynamic workflows, and automation that adapts to regulatory complexity. Our stack powers the most critical, high-stakes moments of employment—like verifying work authorization, collecting withholdings, and guiding candidates through industry-specific training.
What you'll do
What we're looking for
- Proven experience as a full-stack engineer, with a strong track record of building and shipping software products. We use Remix, React, and Prisma. We write typescript with Effect.js.
- Three years of experience working as a full-time professional software engineer. If you don’t meet the bar, but think you can be productive nonetheless, tell us why!
- Experience working with APIs and integrating third-party services.
- Solid understanding of software design principles, data structures, and algorithms.
- Demonstrated experience in making product decisions through first-principled reasoning and understanding of customer use cases. Product engineers at Onboarded are entrusted with autonomy and ownership of key product domains. They look after their domains - identify problem areas, improvement opportunities, and work with stakeholders to prioritize their backlog.
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment with non-trivial complexity.
- Excellent communication skills. Engineering at Onboarded has a strong writing culture. Product engineers often write extensively about implementation plans, architecture decisions, and design tradeoffs. We also hold a high bar for code quality and readability.
- Deep understanding of testing and observability. We expect our team to structure their code so it’s easy to test. We also expect them to have a deep understanding of how to effectively test their code at different levels. Additionally, we expect extensive experience in working with observability tools (we use Datadog and Sentry). Ideal candidates should be proficient in working with metrics, logs, traces, and alerts.
