Principle Full Stack Engineer

Blank Slate; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Direct access to CEO

Hybrid work model

Competitive salary

Job summary

Blank Slate is building the next generation of systems to help teams move faster, think better, and operate at scale. We’re looking for a Full Stack Engineer who can own our product end-to-end: from the data pipeline and adaptive algorithms on the backend to the learner and manager experiences on the frontend.

You’ll join a hands-on team with a clear leadership trajectory, contributing to architecture and features day to day and participating in product and business decisions from day one.

Qualifications

• 7+ years of professional full stack engineering experience, with depth in at least one backend language and one frontend framework.
• Built and shipped production SaaS products with end-to-end lifecycle (DB design, API, deployment, monitoring).
• Experience with data-intensive applications, analytics pipelines, or ML model integration.

Responsibilities

• Own full stack development of the adaptive learning platform from backend data pipelines to frontend learner/manager experiences.
• Collaborate with data science on ML engines and databases facing growing regional volumes.
• Implement SSO integrations, data export pipelines (flat files and API), and LMS interoperability for enterprise clients.

Skills

Full stack development

SaaS product shipping

Data-intensive apps

Enterprise SSO/SAML

Communication skills

Security mindset

Education

Bachelor's degree in CS or related field

Tools

Scala/Java

SQL/NoSQL

CI/CD pipelines

APIs

Job description

Blank Slate is building the next generation of systems to help teams move faster, think better, and operate at scale. We create intuitive, high-impact products, leveraging data science, cognitive science, and a strong user interface, that solve real problems for modern organizations. Our team values ownership, curiosity, and speed - bringing together engineers and builders who are excited to tackle complex challenges and turn ideas into reality.

Role Description

We’re looking for a Full Stack Engineer who can own our product end-to-end: from the data pipeline and adaptive algorithms on the backend to the learner and manager experiences on the frontend. This is a hands-on building role, and you have the opportunity to contribute to architecture and features day to day.

With that, this role has a clear leadership trajectory. We’re looking for someone with the technical depth to build what we need today and the strategic instinct to be an engineering leader tomorrow. You’ll have a seat at the table for product and business decisions from day one.

What You’ll Own

Platform & Product

• Full stack development of our adaptive learning platform, including the learner-facing application, manager dashboards, and admin tooling.
• Implementation of multiple ML engines and databases facing increasing volume across regions, in close collaboration with our data science team.
• SSO integrations, data export pipelines (flat file and API), and LMS interoperability for enterprise clients managing compliance workflows.
• Content delivery systems (content sequencing, learning pathways, completion tracking) that power the core learning experience.
• Making infrastructure decisions that set us up for the next 3–5 years: cloud architecture, CI/CD, monitoring, database design, and security posture.
• Evaluating build vs. buy tradeoffs, selecting tools and frameworks, and establishing engineering standards as the team grows around you.
• Supporting enterprise deployment requirements including on-premises AI models, data residency constraints, and compliance readiness.
• Work with a fast-moving engineering team to rethink AI implementation pipelines
• Strong collaboration and consideration with cybersecurity

What We’re Looking For

• 7+ years of professional full stack engineering experience, with depth in at least one modern backend language and one modern frontend framework.
• You’ve built and shipped production SaaS products—not just features within them. You understand the full lifecycle: database design, API architecture, deployment, monitoring, and iteration.
• Strong opinions on how to build reliable, maintainable systems. You care about code quality not for its own sake, but because it’s how small teams move fast without breaking things.
• Experience with data-intensive applications: working with event streams, building analytics pipelines, or integrating ML models into production systems.
• Comfort with enterprise requirements: SSO/SAML, role-based access control, audit logging, data export, and compliance frameworks.
• Excellent written and verbal communication. You’ll interface directly with the business, enterprise clients, and research partners.

Strong Signals

• Direct Experience working with Scala or Java, SQL/noSQL databases, evaluation of AI-generated code
• You’ve been the first or second engineer at a startup, or the tech lead of a team where you were responsible for both building and deciding what to build.
• Experience in data science or machine learning, even if it’s not your primary role—enough to evaluate model validity, design experiments, and collaborate meaningfully with ML researchers.
• Prior experience deploying on-premises or self-hosted solutions for enterprise clients with strict data residency or security requirements.
• You’ve operated in industries where software failures have real-world consequences: aviation, healthcare, energy, financial services, or defense.
• You think about technology as a business lever. You ask “why are we building this” before “how should we build this.”

What We Offer

• Direct access to the CEO and a real voice in product and business strategy, not only technical execution.
• The rare combination of mission-driven work and hard technical problems: you’re building algorithms that change how people retain critical safety knowledge.
• Competitive salary, hybrid work, and the opportunity to build an engineering culture from the ground up.