Senior Director of Solutions Engineering

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 have Solutions Scientists who understand R&D workflows at the bench level, and a Forward Deployed Scientists team that stays embedded with partners through delivery. Integrations and migrations are in nearly every deal we close, and the momentum behind them is real: one of our cofounders has stepped in personally to drive the integrations and migrations practice forward. The pre-sales pillar of that practice is the piece that is still being built, and this is the role that builds it. We are looking for a senior leader who sits across from IT, owns the pre-sales security and compliance reviews and integration conversation, and works in close partnership with the scientific team to make sure both sides of every engagement move together. The IT buyers, many of whom are navigating their first serious enterprise R&D solution, deserve someone who can meet them where they are. This role is it. 

• →8+ years in customer engineering, solutions architect, solutions engineering, or pre-sales engineering function, with at least 3 years managing a team 

• →Experience scaling a customer or solutions engineering function: hiring, structuring, and developing a team as deal complexity and org size grew 

• →Solid grasp of enterprise integration patterns: REST APIs, event-driven pipelines, file-based data flows, and enterprise ERP and CRM such as SAP or Salesforce 

• →Hands-on experience scoping integrations across enterprise data environments, including systems where data must move reliably between platforms with different schemas, ownership models, and access constraints 

• →Familiarity with AI-native platforms and how enterprise IT teams evaluate, procure, and integrate AI into existing workflows; comfortable discussing AI capabilities, deployment patterns, and data requirements with both technical and business buyers 

• →Experience owning RFP responses and security ques 

• →tionnaires for integration and infrastructure content; comfortable representing technical security posture directly to IT buyers 

• →Able to scope technical services engagements, produce SOWs and binding estimates, and hold commercial scope discipline through the pre-sales cycle 

• →Experience working with IT buyers who are early in their integration journey; you know how to build confidence, set realistic expectations, and move things forward 

• →Track record of working alongside domain specialists or scientific teams whose expertise you respect and build around 

• →Executive presence and strong written communication; this role operates at a senior level across commercial, technical, and scientific stakeholders 

• →Technically capable at a working level: comfortable calling APIs, exploring SDKs, and building lightweight proof-of-concept integrations to support pre-sales 

Albert sells into traditional industries where IT buyers may be acquiring their first enterprise integration. Experience navigating that environment matters more than domain expertise in any specific platform. 

• Background in vertical SaaS serving traditional industries: chemicals, industrials, construction, agriculture, CPG, or similar.  

• Experience in organizations where technical and scientific or specialist pre-sales functions operated as peers, with shared accountability for deal outcomes 

• Familiarity with SAP (EHS, PLM, S/4HANA), which tends to follow naturally from selling into industrial verticals. Understanding of ELN, LIMS, PLM, ERM, or CRM capabilities is a plus. 

• Experience working closely with SOW-based delivery teams, either within a unified org or through a structured handoff model 

• Comfort with cloud platform fundamentals, particularly how SaaS platforms handle data flows, authentication, and integration architecture 

• Experience at a company between Series B and Series D, where process is built rather than inherited