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.
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Position Overview
We are seeking a hands-on, technically adept Field Engineer with strong experience in API-driven PACS application integrations and troubleshooting complex enterprise integrations. This role is ideal for someone who thrives in customer-facing situations, excels in debugging real-world interoperability issues, and can lead deep-dive technical troubleshooting sessions.
While direct experience with Physical Access Control Systems (PACS) is highly desirable, it is not required, as long as you bring a solid background in system integrations, troubleshooting, API workflows, and database interaction. You will play a key role in ensuring smooth and reliable integration between PACS platf orms and Ambient’s platform for our customers.
The impact you’ll make:
- Lead customer engagements to troubleshoot, analyze, and resolve complex integration issues
- Configure and validate system integrations across APIs, middleware, and direct database connections
- Proactively investigate and document integration challenges, building a deep understanding of third-party system behaviors and common failure points
- Use tools such as Postman, Wireshark, and log analyzers to debug REST/SOAP APIs, webhooks, and database queries
- Work cross-functionally with developers, solution engineers, and support teams to enhance integration workflows and customer documentation
- Build a compatibility interoperability matrix across vendor platforms, versions, and system configurations
- Create technical documentation, integration best practices, and internal knowledge bases to broaden capability across the company and customer base
What Success Looks Like:
- Rapid resolution of customer integration issues
- Reduced support escalations through improved diagnostics and best practices
- Improved customer satisfaction and system uptime due to stable, well-documented integrations
- Contribution to internal knowledge and training assets for repeatable integrations
The amazing skills you’ll bring to Ambient.ai:
- Strong hands-on experience with system integration and enterprise application interoperability
- Proven ability to troubleshoot REST/SOAP APIs, analyze payloads, and debug authentication flows
- Familiarity with SQL databases, stored procedures, and query optimization
- Comfortable working with tools like Postman, Wireshark, browser dev tools, and log analysis platforms.
- Comfortable installing, configuring, and simulating integration environments
- Working knowledge of both Linux and Windows administration, including basic command-line usage for troubleshooting and integration-related tasks
- Effective communicator who can lead technical discussions with customers and internal stakeholders
- Self-starter with a bias toward action and problem-solving
Preferred Experience
- Integration building/troubleshooting experience with any major PACS (Physical Access Control Systems) vendor or ecosystem (Lenel, Genetec, Software House, Avigilon, etc.)
- Background in physical security, building automation, or enterprise application integrations
- Prior work in roles such as Field Application Engineer, Systems Integrator, Solutions Engineer, or Middleware Integrator
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 have an impressive customer roster of F500 companies, including Adobe, SentinelOne, and TikTok
- Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
- Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan)
- 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
- We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist
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We take a market-based approach to pay here at Ambient.ai, and pay may vary depending on multiple factors. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, level, market conditions, and internal parity.
Base salary is just one component of our total rewards package. As a fast-growing start-up, our regular employees are also granted stock options, and an opportunity to succeed when Ambient.ai succeeds. As a young start-up with product market fit, our stock upside is substantial, and a large part of our total rewards strategy.
The pay scale below represents the starting base salary range we expect to pay for this position, and is subject to change*:
Redwood City: $110,000 - $145,000
*From time to time, we may decide to make an offer to a candidate that is either leveled below or above this role based on skills, experience, and interview performance.
