over 1 year ago
London, United KingdomSenior
Responsibilities
- Collaborate with Account Executives, Product Specialists, and Customer Success Managers to deliver effective technical customer experiences.
- Provide technical expertise on Luminance’s platform and support sales efforts by explaining integration benefits and solutions.
- Understand customer use cases and integration requirements, recommend effective solutions, and identify opportunities to improve offerings.
- Build customer integrations and seamless workflows across platforms such as Salesforce, ServiceNow, and Slack.
- Manage integration issues and challenges as a key customer contact.
- Develop reusable toolkits, APIs, SDKs, enablement resources, and customer-facing API documentation.
- Create technical resources such as reference architectures and coordinate issue resolution with Support and Technical Operations.
- Gather developer feedback to improve tools, documentation, and integration processes.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, with a 2:1 or above in the UK or GPA of 3.5 or above in the US.
- At least 3 years of experience at a SaaS vendor, preferably in AI and/or Cybersecurity.
- Experience in software development, system integration, and creating customer-facing developer resources such as APIs, SDKs, and documentation.
- Experience with full-stack web development and cloud architecture.
- Demonstrable experience with JavaScript, NodeJS, Python, or equivalent frameworks and languages.
- Prior experience in a customer-facing technical team working with developer or technical audiences.
- Strong verbal and written communication, presentation, interpersonal, problem-solving, organizational, and time-management skills.
Benefits
- £2,000 learning budget per employee.
- Hybrid work arrangement in London, United Kingdom.
- Full-time employment.
Tech Stack
Categories
Solutions Engineering
About Luminance
Luminance builds AI-powered software for contract review, negotiation, and management used by law firms and in-house legal teams. Its platform applies machine learning to analyze and redline contracts, automate playbooks, and surface risks across the contract lifecycle. Founded in 2015 and headquartered in Cambridge, this privately held company serves customers across sectors including manufacturing, retail, and pharmaceuticals.