Invisible Technologies
5 open remote positions
(3 of 5 jobs with salary data)
Salary Distribution✨ Benefits Overview (5 of 5 jobs list additional benefits)
This role involves being a technical seller and deal-maker with expertise in banking and asset management. You will develop enterprise pipeline, lead complex deals, and partner with Field CTOs to articulate the platform's technical capabilities. Responsibilities include owning a portfolio of clients, leading sales cycles, navigating procurement processes, and building relationships with senior stakeholders.
Invisible Technologies is seeking an accomplished and mission-driven SVP of Enterprise Technology to lead our expansion into the healthcare sector. Reporting to and working in close partnership with our CEO, this executive will own high-impact relationships with major healthcare organizations, and deliver transformative, tech-enabled operational solutions.
You will be a key contributor to the design, development, and scaling of the core platform services that power our AI Process Platform. You will work on complex, distributed systems at the intersection of AI, automation, and human-in-the-loop workflows, ensuring our platform is robust, scalable, and highly performant. This is an opportunity to make a significant impact on a rapidly growing product.
Take ownership of the systems and workflows that support every stage of the employee lifecycle. Be the backbone of operational excellence across onboarding, compliance, equity, benefits, and offboarding—bringing clarity, precision, and structure to critical HR processes. Manage tactical execution while laying the foundation for scalable, people-first infrastructure across the company.
As a Senior Forward Deployed Engineer at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client stakeholders and our internal delivery teams. This is a hybrid role: equal parts AI architect, hands-on engineer, and technical advisor.