Albert helps chemists change the world by building technology that understands how they work. As chemists ourselves, we know what it’s like when software doesn’t work the way you do — stuck with systems built by people who never spent a day at the bench. That’s why we created Albert OS, the first AI-native operating system for materials science, designed to remove every obstacle between curiosity and discovery.
We're looking for a Staff Software Engineer to join our Regulatory team and set the technical direction for the systems that make scientific data trustworthy, structured, and globally compliant.
What you'll do- Own the technical architecture of core regulatory services: Safety Data Sheet generation, rule engine, substance data, and third-party regulatory integrations for enterprise partners across global markets
- Define engineering standards for correctness, clarity, and long-term maintainability across the Regulatory team, and hold that bar through design reviews, code reviews, and architectural guidance
- Drive spec-first engineering culture: author and review technical specs, treat data correctness as a first-class concern, and set the example for how the team approaches ambiguous problems
- Own architectural decisions on regulatory systems in close partnership with Product and Customer Success
- Lead regulatory triage and scoping conversations, translating complex, ambiguous requirements into structured delivery plans, and owning execution with minimal overhead
- Design and implement scalable backend services in Node.js and TypeScript on AWS
- Design and build agentic workflows to orchestrate data across systems
- Mentor senior engineers and raise the technical ceiling of the team
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- 12+ years of backend engineering experience, with a track record of technical leadership at scope
- Deep expertise in Node.js (preferred), Python, or TypeScript
- Hands-on experience with AWS: Lambda, ECS/EKS, DynamoDB, RDS, API Gateway
- Strong grasp of data pipeline concepts, ETL/ELT workflows, and SQL/NoSQL database governance
- Experience designing and building agentic workflows to orchestrate data across systems
- Fluency with AI-assisted development tools (Cursor or similar)
- Strong written communication: you document decisions, not just code
- Comfortable with high autonomy: you create clarity, not escalations
- No regulatory background required. Intellectual curiosity and structured thinking matter more
- Rigor: You treat data correctness as non-negotiable. AI makes mistakes confidently, and our partners won't accept hand-waving
- Builder mindset: You want to create systems others depend on and trust
- Curiosity: You care about how your work connects to scientific discovery
- Adaptability: You're comfortable in a fast-moving environment where priorities shift
- Trusted by thousands of users from day one, with real revenue and real impact
- A small, empowered team built on flexibility and collaboration, not hierarchy
- A culture where creativity and outcomes matter more than titles
- A global, diverse team working toward a more sustainable future
- We hire on Fundamentals, Attitude, diverse Thinking, and Experience (FATE)
Skills Required
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- 12+ years of backend engineering experience with technical leadership experience
- Deep expertise in Node.js, Python, or TypeScript
- Hands-on AWS experience, including Lambda, ECS/EKS, DynamoDB, RDS, and API Gateway
- Experience with data pipelines, ETL/ELT workflows, and SQL/NoSQL database governance
- Experience designing and building agentic workflows to orchestrate data across systems
- Fluency with AI-assisted development tools such as Cursor
- Strong written communication and technical documentation skills
- Ability to work autonomously and create clarity in ambiguous situations
- Deep expertise in Node.js
What We Do
Meet Albert, the partner for the scientist of the future. Enterprises partner with Albert to reimagine how they invent. From digitalizing R&D and managing change at scale, to unlocking entirely new business models with AI, chemical and materials science leaders rely on Albert to achieve digital transformation — and ensure it delivers lasting value. Every day, scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, bringing better products to market, faster. Your science moves the world forward. We move everything else out of your way.
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