VP, Engineering

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.

About Andesite: After decades defending the nation’s most sensitive networks, we founded Andesite with a clear mission: to build security products that transform how humans and AI collaborate to defend against increasingly sophisticated cyber threats. We’re a diverse team of cyber and security experts, passionate technologists, and experienced product builders. We come from some of the largest national security, tech, cybersecurity, and data organizations on the planet. We've raised more than $38 million from investors like General Catalyst and Red Cell Partners. The future of cybersecurity isn't about better technology alone—it's about reimagining how humans and machines work together. Come build with us.

The Role: Andesite is looking for a VP of Engineering to lead our product development efforts.

Responsibilities

• Lead product engineering including frontend, backend, and production AI capabilities.
• Develop engineering roadmaps and operations plans.
• Grow a team of software engineers and data scientists, ranging from generalists to specialists. Expect to grow the team from about 20 to at least double within 12 months.
• Manage development and operations for a fast-growing enterprise product, supporting a wide range of deployment environments.
• Collaborate with cross-functional teams, including product management, design, and sales, to define and deliver innovative solutions that meet market needs and align with company strategy.
• Foster a culture of innovation, collaboration, and continuous improvement within the engineering team, encouraging knowledge sharing and mentorship.

Requirements

• Demonstrated scaling a startup engineering organization to 50+ employees.
• Have delivered products involving AI at scale involving a breadth of technologies spanning frontend, backend, and machine learning / AI.
• Strong at operations, team building, and delivery.
• Possess strong technical depth with cloud platforms and services, such as AWS, Azure, or GCP.
• Exceptional communication and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.
• A passion for cybersecurity and generative AI technologies, with a desire to push the envelope in both respects.

Even Better If You Have

• Experience delivering generative AI solutions or products, including developing models, infrastructure, training pipelines.
• Familiarity with security concepts, tools, and solutions, such as threat detection, vulnerability scanning, encryption, or authentication.