Engineering Manager, AI
At a glance
Highlights
- Backed by top venture firms
- Well-funded Series B
- Mission-driven AI security
- Small fast-moving team
- Opportunity to shape AI security
Why this role might suit you
The role offers leadership of a cutting‑edge AI team working on multimodal models for real‑world security, competitive venture backing, and the chance to shape a $50B market while building production‑grade systems at scale.
Skills
About the role
At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.
You’ll be joining a small, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.
We are looking for a technically deep Engineering Manager to lead the AI team at Coram. This team is small, highly capable, and operates at the intersection of real-time systems, computer vision, and generative AI.
This is a hands-on leadership role that combines technical direction, architecture ownership, hiring, and people management. The right candidate will be deeply current with modern deep learning and GenAI, while also having real experience building and leading high-performance teams.
What You’ll Do
• Define the roadmap and technical direction for the AI team in partnership with leadership and product
• Architect and review systems that deploy VLMs, VLAs, and CNNs across tens of thousands of cameras
• De-risk complex technical initiatives through design reviews, experimentation, and structured evaluation
• Lead 4 to 5 parallel projects with strong execution discipline while balancing incoming customer issues and shifting priorities
• Collaborate closely with the product to make principled tradeoffs between speed, accuracy, and scalability
• Contribute directly to implementation when needed and lead by example
• Hire, mentor, and grow a high-performance AI engineering team
• Establish strong engineering standards around reliability, observability, and model evaluation
What We’re Looking For
• Several years of experience managing engineers and building a highly execution-driven culture
• Strong technical depth in deep learning, computer vision, or multimodal systems
• Track record of shipping production-grade ML systems at scale
• Ability to balance technical debt, product velocity, and long-term architectural quality
• Hands-on experience building systems at the intersection of ML, real-time systems, and robotics
• Strong architectural judgment and ability to review complex system designs
• Computer Science degree from a top institution; MS or PhD is a plus
• Prior experience as a senior technical lead in robotics, AI, or large-scale ML systems
We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.
Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by Battery Ventures, Mosaic, and 8VC, have raised over $30M, and were named to the CB Insights AI 100 as one of the most promising AI companies in the world. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.
Questions about this role
How do I apply to this Engineering Manager, AI role at coram-ai?
Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.
What's the typical salary for Engineering Manager in United States?
Compensation for Engineering Manager roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Engineering Manager hub for United States medians across recent openings.
How fast does AI Applyd auto-apply?
Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.
What ATS does coram-ai use?
AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.
Want AI Applyd to auto-apply to roles like this?
We tailor your resume per posting, fill the forms, and track replies for you.