Enterprise Solutions Architect - Life Science Software

About the role

Benchling is an AI platform for biotech R&D, used by scientists to design experiments, capture structured data and run AI agents in their workflows. It is seeking an Enterprise Solutions Architect with deep expertise in life science R&D and enterprise software systems. The role partners with enterprise customers, acting as a strategic advisor and technical leader who translates their IT strategy into tailored Benchling solutions, guides digital transformation, leads implementation projects and sets data architecture standards.

Key responsibilities

• Partner with biotechnology organizations to assess their IT landscape, understand their strategic objectives and architect solutions for mission-critical outcomes.
• Lead end-to-end implementation projects from discovery through go-live and adoption.
• Provide ongoing strategic guidance, best practice education and product engagement recommendations.
• Work with engineering, product and solutions architecture teams to turn business needs into technical solutions.
• Coordinate with Professional Services, Product and Customer Success teams on complex global enterprise deployments.
• Support Sales and Marketing in technical deal strategy and help resolve complex technical challenges.
• Contribute to global enterprise processes, product capabilities and best practice frameworks.

Required profile

• 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 a related field (advanced degree preferred).
• Proven track record leading global implementation teams; Benchling experience strongly preferred.
• Ability to empathize with scientists and quickly grasp complex scientific concepts and workflows.
• Strong communication, organizational and project management skills; self-directed and adaptable.
• Willingness to travel to customer sites up to 30% of the time.
• Preferred: 5+ years of client-facing software implementation or consulting, and hands-on experience with LIMS, ELN, MES, LES platforms and tools such as JMP, Spotfire or Tableau.

What we offer

• Flexible hybrid work: employees are expected to be in the office 3 days per week (Monday, Tuesday and Thursday).
• A commitment to AI fluency, with a brief AI-focused exercise during the interview process.