over 1 year ago
Base Salary
$115k - $150k/yr
Responsibilities
- Collaborate with Account Executives, Product Specialists, and Customer Success Managers to deliver technical customer experiences.
- Serve as a technical expert 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 for improvement.
- Build customer integrations and seamless workflows across business applications such as Salesforce, ServiceNow, and Slack.
- Manage integration issues and coordinate technical resolutions with Support and Technical Operations teams.
- Develop reusable toolkits, APIs, SDKs, enablement resources, customer-facing API documentation, and reference architectures.
- Gather developer feedback to improve integration tools, documentation, and 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 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.
- Experience with JavaScript, NodeJS, Python, or equivalent frameworks or languages.
- Prior experience in a customer-facing technical team working with developer or technical stakeholders.
- Strong communication, presentation, interpersonal, problem-solving, organizational, and time-management skills.
Benefits
- Hybrid workplace in New York, United States.
- £2,000 learning budget per employee.
- Full-time position.
- Base compensation of USD 115,000–150,000 per annum.
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.