over 1 year ago
Base Salary
$115k - $150k/yr
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.
- Assess customer use cases and integration requirements and recommend solutions for rapid success.
- Build customer integrations and workflows across business platforms and applications such as Salesforce, ServiceNow, and Slack.
- Manage integration issues and challenges as a key technical point of contact.
- Develop reusable toolkits, APIs, SDKs, and developer enablement resources.
- Create and maintain customer-facing API documentation and reference architectures.
- Coordinate with Support and Technical Operations teams to resolve customer technical issues.
- 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 higher in the UK or a GPA of 3.5 or higher in the US.
- At least three years of experience at a SaaS vendor, preferably in AI and/or cybersecurity.
- Experience in software development, systems 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 interpersonal, communication, presentation, problem-solving, organizational, and time-management skills.
Benefits
- Hybrid work arrangement in New York.
- £2,000 learning budget for each employee.
- 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.