Build a safer world with us, one incident at a time.
Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.
The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list.
Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.
Ready to learn more? Connect with us on LinkedIn and YouTube
About the role
You'll design and build the backend powering Ambient.ai's product experience for enterprise security teams. The APIs and services you ship are used directly by operators at Fortune 500 companies to monitor and respond to security events across tens of thousands of cameras.
You'll own a core product area end to end, partnering with frontend engineers, designers, and product managers to take features from concept to scaled production. Expect a mix of greenfield work on new product surfaces and depth work on systems already serving large enterprise deployments.
What you'll do
Design and ship backend APIs and services, from 0-to-1 prototypes through enterprise rollout.
Own a product area end to end: data modeling, API design, performance, reliability, and operational health.
Partner with product, design, and frontend to turn ambiguous problems into concrete technical plans.
Tune performance and reliability under real production load, including peaks from real-time alert pipelines.
Build the monitoring, logging, and alerting needed to catch issues before customers do.
Contribute to architecture reviews, code reviews, and team standards.
What we're looking for
6+ years of backend engineering experience, with meaningful time on user-facing web or mobile products.
Strong Python skills and production experience with Flask, Django, or FastAPI.
Solid API design instincts across REST, GraphQL, or gRPC, and a clear point of view on what makes an interface clean.
Comfort modeling data across SQL, NoSQL, time-series, and vector stores, with a sense of the tradeoffs between them.
Working knowledge of at least one major cloud platform (AWS, GCP, or Azure).
A track record of debugging hard production issues and shipping the fix.
Nice to have
Real-time systems experience: WebSockets, server-sent events, pub/sub, or streaming pipelines.
Working knowledge of TypeScript and a modern frontend framework like React or Vue, enough to read frontend code and reason about end-to-end flows.
Background in any of: video infrastructure, computer vision applications, notification and alert routing, or LLM and agentic applications.
Experience scaling multi-tenant SaaS into large enterprise deployments.
We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a 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 onLinkedIn| YouTube
We’ve found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together.
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.
Skills Required
- 6+ years of backend engineering experience
- Strong Python skills and production experience with Flask, Django, or FastAPI
- Solid API design instincts across REST, GraphQL, or gRPC
- Comfort modeling data across SQL, NoSQL, time-series, and vector stores
- Working knowledge of at least one major cloud platform (AWS, GCP, or Azure)
- Track record of debugging hard production issues and shipping the fix
Ambient.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ambient.ai and has not been reviewed or approved by Ambient.ai.
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Healthcare Strength — Health coverage is described as comprehensive with the employer paying a substantial share of medical, dental, and vision premiums. This strengthens total rewards for those prioritizing robust healthcare.
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Equity Value & Accessibility — Equity is positioned as meaningful, with low dilution and access to early option exercise. This increases perceived ownership and long‑term upside as part of total compensation.
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Strong & Reliable Incentives — Sales plans advertise competitive on‑target earnings for SDR and enterprise-focused roles, with significant upside for high performers. Incentive structures are presented as strong relative to software‑sector norms.
Ambient.ai Insights
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.
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