Responsibilities
- Own the end-to-end Salesforce ecosystem, including Salesforce CPQ product, pricing, quoting, bundle, and approval configuration and integrations.
- Build and maintain Salesforce integrations with ERP, billing, and data platforms using Workato or comparable iPaaS tools.
- Configure document and contract workflows using Conga or comparable automation tooling.
- Own CI/CD, release management, automated testing, environment governance, and deployment quality using Gearset or comparable DevOps tooling.
- Partner with business and technical stakeholders to refine requirements, lead projects, and deliver scalable solutions.
- Evaluate and integrate technology tools, including AI-assisted development and platform tooling where beneficial.
- Design, build, review, and test Salesforce enhancements such as custom objects, page layouts, APIs, and cloud integrations.
- Address architectural gaps and technical debt while monitoring platform performance, scalability, and refactoring needs.
Requirements
- At least 5 years of Salesforce application development experience with hands-on Salesforce CPQ expertise.
- Experience integrating Salesforce with ERP and billing systems using Workato or a comparable iPaaS, plus experience with Conga or comparable contract, document, or CPQ automation tooling.
- Experience owning Salesforce CI/CD, automated testing, deployment governance, and release quality using Gearset or comparable tooling.
- Certifications as Platform App Builder, Platform Developer I and II, and Administrator 201.
- Proficiency with Apex, Lightning, SOQL/SOSL, and JavaScript, plus working knowledge of Java, Go, or Python.
- Experience with Salesforce SOAP, REST, and BULK APIs; Lightning components or Visualforce; data management and migration principles; and Jira.
- Demonstrated AI fluency through hands-on use of tools such as Agentforce, AI-assisted coding, or agentic DevOps tooling.
- Strong business judgment and verbal, written, interpersonal, and presentation skills.
- Bachelor’s or master’s degree in computer science or a related field, or equivalent work experience.
Tech Stack
Categories
About 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.