Who we are:
Ambient.ai is a unified, AI-powered physical security platform helping the world’s leading enterprises reduce risk, improve operational efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies, along with multiple Fortune 500 organizations, rely on Ambient.ai to modernize their physical security infrastructure.
Our platform uses advanced AI and computer vision to seamlessly integrate with existing camera and sensor systems, enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, Ambient.ai allows security teams to focus on real threats and prevent incidents before they occur.
Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company on a mission to make every security incident preventable.
We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our engineering, product, design, and marketing teams work from our Redwood City office 3 days per week. All other Bay Area employees join on Fridays to stay connected and close out the week together.
Ready to learn more? Connect with us on LinkedIn and YouTube
About the role:
In this role, you will get a unique opportunity to work on new industry-defining applications in the Smart Building space. In this cross-functional role, you will be exposed to other engineering stakeholders, business teams, and customers. Specifically, you will build prototypes for new applications, work closely with the customer and our internal business teams to assess their performance and impact, and help bring these prototypes to production.
What you'll do:
Build integration software for Ambient’s core platform that may run on the cloud or on our forward-deployed edge IoT servers
Effectively leverage 3rd party APIs to ingest various additional data sources into Ambient.ai’s core platform
Partner with other engineering stakeholders on design & architecture to effectively integrate new data sources into the core product
Partner with customer success teams to support the implementation of integrations at new customer sites
Build tools for monitoring the health and reliability of integrations deployed in the field
What you'll bring:
BS/MS in Computer Science or related field with a strong programming background
Proven ability to quickly learn new technologies and rapidly build domain and product knowledge
Minimum 4+ years of experience shipping enterprise-grade software
Proficiency in at least one major programming language (Python, GO, C++ will be preferred) used on the backend
Familiarity with computer networks and related technologies, such as HTTP Requests
Experience with common database systems such as MySQL and the ability to write efficient SQL queries
Experience with REST OR GraphQL APIs.
A good understanding of multi-threading, concurrency, and operating systems fundamentals is desired
Excellent debugging and problem-solving skills
Strong desire to solve challenging problems, learn new things, and wear many hats as part of an early-stage company
Ability to communicate effectively with internal and external stakeholders
Domain knowledge in the field of CCTV, video surveillance, VMS (Video Management Systems), Access Control, Biometrics, Identity access management, Visitor Identity Management, Camera Security System, PACS (Physical access control systems) will be preferred
Why join us:
We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible
We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne
Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
We offer flexible time off to rest and recharge including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand)
The latest tech and awesome swag delivered to your door
Enjoy a full range of opportunities to connect with your awesome co-workers
#LI-Remote
Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.
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What We Do
Ambient.ai is a computer vision intelligence company transforming enterprise security operations to prevent security incidents before they happen. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and automate the immediate dispatch of human resources. Ambient.ai is the first platform that goes beyond basic motion detection and image recognition to achieve near-human perception with automated situational context.
With physical security incidents on the rise and physical security organizations left under-resourced, Ambient.ai’s computer intelligence platform comes at a time of critical need, which is why the company has raised over $50 million from venture capital investors led by a16z. Today, large enterprises, schools and organizations – including many of the largest US tech companies and other Fortune 500 companies – use Ambient.ai to secure property, people, and assets from the most harrowing physical security threats.
The company was founded in 2017 by experts in artificial intelligence from Stanford who previously built iconic products at Apple, Google, Microsoft and Dropbox. We are backed by Andreessen Horowitz (a16z), SV Angel, Y Combinator, and visionary angels like Jyoti Bansal, Mark Leslie and Elad Gil.
