Enterprise Solutions Architect
Benchling
We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.
ROLE OVERVIEW
We are seeking an Enterprise Solutions Architect with deep expertise in life science R&D and enterprise software systems to partner with Benchling's customers in driving the biotech revolution forward. The Enterprise Solutions Architect serves as a strategic advisor and technical leader for our enterprise customers, translating their IT strategy into tailored Benchling solutions. This role encompasses guiding organizations through digital transformation, leading technical implementation projects, overseeing solution architecture, and establishing best practices and data architecture standards to ensure long-term success.RESPONSIBILITIES
Partner with biotechnology organizations at the forefront of innovation to assess their IT landscape, understand strategic objectives, and architect solutions that enable mission-critical outcomes Lead end-to-end implementation projects from discovery through successful go-live and adoption Provide ongoing strategic guidance, best practice education, and product engagement recommendations to maximize customer value realization Collaborate with cross-functional business and technology stakeholders to gather requirements, identify opportunities, and translate business needs into technical solutions in partnership with internal engineering, product, and solutions architecture teams Coordinate with Professional Services, Product, and Customer Success teams to orchestrate complex, global enterprise deployments Support Sales and Marketing in technical deal strategy, and engage with Engineering, Product, and Solutions Architecture teams to resolve complex technical challenges Contribute to the development and refinement of global enterprise processes, product capabilities, and best practice frameworksQUALIFICATIONS
Required 5-10+ years of combined experience in biotechnology or pharmaceutical industry roles and scientific software implementation Bachelor's or Master's degree in Life Sciences, Information Management, or related field (advanced degree preferred) Proven track record leading global implementation teams in enterprise solution design and deployment (Benchling experience strongly preferred) Demonstrated ability to empathize with scientists and rapidly comprehend complex scientific concepts and workflows Exceptional communication skills across verbal, written, and presentation formats, coupled with strong organizational and project management capabilities Self-directed, adaptable professional who thrives in dynamic, fast-paced environments Comfortable operating across functions, organizational levels, and geographies with diverse stakeholder groups Willingness to travel to customer sites up to 30% based on project requirements Preferred 5+ years of client-facing software implementation and/or consulting experience, with demonstrated success delivering enterprise-scale SaaS projects Hands-on experience implementing scientific/informatics platforms such as LIMS, ELN, MES, LES, and analytical tools including JMP, Spotfire, or TableauHOW WE WORK
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