Scientific Solutions Architect

Albert's mission is to digitalize the world of chemistry, using data and machine learning to drastically accelerate the invention of new materials. Our platform helps R&D organizations achieve a structured data foundation, digitalize their formulation and testing processes, and empower scientists to innovate faster, smarter, and at scale.

We are looking for an ambitious and results-driven Scientific Solutions Architect to join our growing team. This role is critical to driving successful outcomes for Albert's most strategically important customers, from the fuzzy front end of a deployment through to realized value. You'll bridge the gap between scientific R&D workflows and enterprise digital strategy, acting as a trusted advisor who brings structure to ambiguous environments and champions the customer's long-term success.

If you're passionate about cutting-edge technology and thrive in a fast-paced, mission-driven environment, we want to hear from you.

• Serve as the first Albert point of contact in the scientific deployment process, navigating ambiguous customer environments to define scope, surface priorities, and establish a clear path forward before formal delivery begins.
• Design and deliver complex, enterprise-grade scientific solutions that translate customer R&D workflows into Albert OS, ensuring measurable value at each stage of the customer journey.
• Act as a trusted scientific advisor to customer executives and technical stakeholders, shaping digital transformation strategy and aligning Albert's capabilities to long-term business goals.
• Guide customers in mapping legacy tools and workflows into unified data workflows within Albert, including integrations with existing systems.
• Identify and develop high-impact use cases early in the deployment cycle, translating complex scientific requirements into clear, actionable delivery plans.

• Collaborate with sales and technical teams to craft compelling business cases, quantifying outcomes tied to cost savings, process efficiency, innovation speed, and risk reduction.
• Translate customer R&D needs and pain points into actionable technical solutions aligned to business goals, relaying and prioritizing requirements to internal teams to drive timely delivery.
• Drive platform adoption by demonstrating measurable success in both pre-sales and post-implementation contexts.
• Partner with R&D and non-R&D customer teams to implement and scale successful pilots and deployments, connecting value to business goals across project types including innovation, product development, product maintenance, and operational excellence.

• Support enterprise sales by delivering technical presentations, leading exploratory discussions, mapping laboratory workflows to Albert, and constructing architectural and data flow diagrams.
• Develop presentation materials that emphasize the value of Albert's solutions to customer business needs, and manage key partnership discussions to help shape effective, scalable engagements.
• Partner with Sales Enablement to provide input on customer engagement strategies that support successful, long-term solution implementation and value alignment.

• Mentor and develop junior scientific staff, raising the team's capability in both scientific domain knowledge and customer-facing delivery.
• Represent Albert in strategic customer conversations and technical workshops, acting as the voice of the customer within Albert to help shape product offerings and service delivery.
• Support change management efforts within customer organizations, guiding stakeholders through the adoption of new digital workflows and ways of working.

• Master's degree or higher in Chemistry, Chemical Engineering, Materials Science, Polymer Science, or a related scientific or engineering discipline.
• 5+ years of industry experience, preferably in chemical or materials R&D or digital transformation.
• Experience in front-end innovation, product development, or R&D management, with familiarity moving from concept to market-ready product.
• Deep understanding of how scientists conduct work across a range of laboratory settings, including familiarity with the systems and tools they rely on daily — such as electronic lab notebooks (ELN), laboratory information management systems (LIMS), inventory management platforms, analytical and process development workflows, and regulatory data systems.
• Strong background in scientific coding with Python; AWS experience is a plus.
• Demonstrated ability to engage at the executive level and navigate complex enterprise environments.
• Proven track record of operating independently in ambiguous, early-stage customer engagements where scope and priorities must be defined from the ground up.
• Experience leading change management within enterprise customer organizations.
• Excellent written and verbal communication skills; able to engage with technical and non-technical…