Jobs at Albert Invent

Own the architecture and evolution of Albert OS’s data platform, including lakehouse infrastructure, analytical pipelines, transactional systems, data contracts, and modeling standards. Build reliable batch and streaming pipelines, optimize SQL and NoSQL performance, enforce security and tenant isolation, and enable AI/ML workloads. Establish observability practices, mentor engineers, and lead cross-functional architectural decisions.

Own the architecture, roadmap, performance, reliability, security, and scalability of Albert’s Node.js API platform and backend infrastructure. Lead platform transition initiatives, distributed systems design, authorization frameworks, event-driven architecture, observability, infrastructure as code, and CI/CD. Establish engineering standards and AI-native development practices while managing and mentoring a team of platform engineers and influencing product, security, and technical leadership.

Own the architecture and technical direction of regulatory data systems, including safety data sheet generation, rule engines, substance data, and regulatory integrations. Build scalable backend services with Node.js, TypeScript, and AWS, develop agentic data workflows, lead technical specifications and architectural decisions, manage regulatory scoping and execution, establish engineering standards, and mentor senior engineers.

Lead the Core Product engineering organization building Albert OS, an AI-native chemistry platform. Own the full application layer, including front end, back end, APIs, ontology, and scientific context graph. Lead 8–10 engineers, hire and develop technical leaders, establish agentic development practices, and scale complex production systems. Partner with AI, product, infrastructure, and security teams to embed agentic experiences across scientific workflows while remaining hands-on with prototyping and shipping.

Lead the architecture and evolution of Albert OS data platforms, including lakehouse infrastructure, analytical pipelines, transactional systems, and batch and streaming ingestion. Define data modeling standards, optimize SQL and NoSQL performance, establish data security and observability practices, and collaborate with API and Data Science teams on shared data contracts. Mentor engineers and guide cross-functional architectural decisions.

Owns pipeline generation, account strategy, forecasting, and complex enterprise sales across Germany, DACH, and the EU. Builds trusted C-level relationships with chemical, materials science, life sciences, and pharmaceutical organizations, translating AI and R&D workflow expertise into business value. Leads consultative, multi-stakeholder deal cycles, negotiates contracts, collaborates with scientific and marketing teams, represents the company at industry events, and provides market feedback to internal leadership.

Owns pipeline generation, deal strategy, forecasting, and quota achievement for large enterprise software accounts across U.S. chemical, materials science, life sciences, and pharmaceutical sectors. Builds trusted C-level relationships, leads complex consultative sales cycles, translates scientific R&D workflows into business value, develops account plans, and collaborates with technical, customer engagement, and marketing teams. Represents the company at industry events and provides market feedback to leadership.

As a Sr. Engagement Manager, you will oversee customer relationships and ensure successful outcomes through effective program management and value realization from Albert's platform.

Lead product vision, strategy, and roadmap for Albert's platform (IAM, integrations, security, admin, search). Drive enterprise trust, compliance, and scalability; partner with engineering, design, data, and customers; align cross-functional teams; and build platform product management capabilities and go-to-market readiness to enable large-scale enterprise adoption.

The Digital Marketing Manager will oversee web presence and search strategies, execute SEO initiatives, manage collaborations, and improve organic growth for Albert's technology solutions.

The Senior Product Marketing Manager will own the category narrative and launch strategy for Albert OS, craft messaging for R&D audiences, manage PR, and collaborate across teams to enhance market presence and impact.

The Director of Data Products will define and build Albert's data product strategy and roadmap, manage the data pipeline, and drive product lifecycle from development to market launch, focusing on monetization and customer needs.

Own vision, roadmap, and execution for core product areas (Notebook, Worksheet, Tasks, Inventory). Lead end-to-end product development, prototype and validate with users, drive AI-enabled agentic workflows, conduct hands-on user research with scientists, and partner with engineering, design, and commercial teams to ship polished B2B SaaS workflows and ensure adoption.

Lead demand generation and ABM initiatives to drive pipeline growth, collaborating across teams and optimizing marketing strategies for success.

Build and scale Albert's talent acquisition function: own candidate experience, design ATS workflows and sourcing frameworks, deploy recruiting automation and AI tools, lead outbound technical sourcing, ensure compliant structured interviewing, and partner with executives and global teams to hire across US, Germany, India, and Japan.

Lead design and delivery of enterprise-grade integrations between Albert OS and partner systems (ERP, PLM, LIMS, ELN, lab automation). Architect webhook/event-driven pipelines, build SDKs and integration frameworks, ensure multi-tenant security, mentor integration engineers, and work with partner teams to implement scalable, secure integrations compliant with enterprise standards.

Provide in-house legal counsel across commercial contracts, data privacy and AI compliance, IP and licensing, employment matters, corporate governance, M&A support, and legal ops for a global AI-native SaaS company.

Lead and scale the pre-sales technical function: own technical discovery, scope integrations/migrations and binding estimates, manage RFPs/security questionnaires and SOWs, define pre-to-post-sales handoff, build playbooks/templates, and hire and lead a solutions engineering team aligned with scientific and engineering partners.

The AI Engineer will develop scalable AI systems, optimize LLMs, maintain data workflows, and ensure system resilience while collaborating on innovative solutions.

As an AI/ML Platform Engineer, you will develop APIs, data pipelines, and workflows to support AI capabilities for scientific research, ensuring system reliability and scalability.