Ambient.ai is a leading computer vision intelligence company. Successfully transforming security operations for large enterprises by preventing security incidents before they happen. Ambient.ai has a globally deployed footprint with a number of F500 companies. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and detect threats in real time. Ambient does this while simultaneously decreasing false alarms by over 95%, allowing security teams to efficiently focus on legitimate threats and on rapid response. The future of enterprise physical security is data-driven, intelligent, and proactive. Companies no longer have to choose between reducing operating expenses or mitigating risk. With Ambient; companies can do more with less, while also improving their security posture.
The company was founded in 2017 by Shikhar Shrestha and Vikesh Khanna. They are experts in artificial intelligence from Stanford University who previously built iconic products at Apple, Google, Microsoft, and Dropbox. We are a Series-B company backed by Andreessen Horowitz (a16z), SV Angel, YCombinator, and visionary angels like Jyoti Bansal, Mark Leslie, and Elad Gil.
Named on the YC Top Companies List 2021 and 2022, and the Forbes Cloud 100 Rising Stars 2020, we are turning the impossible into the inevitable. We are always looking for passionate people, who enjoy tackling the toughest problems with cutting-edge AI/ML.
To experience our technology, check out this video: https://ambient.ai/why-ambient-ai/
Ambient.ai is a unified, AI-powered physical security platform that helps enterprise organizations reduce risk, improve security operation efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies and multiple Fortune 500 organizations across various industries leverage Ambient.ai to unify their security infrastructure and significantly enhance their security posture.
The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to monitor and detect threats continuously in real-time. Ambient.ai does this while simultaneously decreasing false alarms by over 95%, allowing security teams to focus on legitimate threats. With Ambient.ai, companies can do more with less and prevent security incidents before they happen.
We were founded in 2017 by Shikhar Shrestha and Vikesh Khanna, experts in artificial intelligence from Stanford University who previously built iconic products at Apple, Google, Microsoft, and Dropbox. We are a Series-B company backed by Andreessen Horowitz (a16z), Allegion Ventures, SV Angel, Y Combinator, and investment angels like Jyoti Bansal, Mark Leslie, and Elad Gil.
Named on the YC Top Companies List 2021, 2022, 2023, and the Forbes Cloud 100 Rising Stars 2020, we are turning the impossible into the inevitable. We always seek passionate people who enjoy solving the most challenging problems with cutting-edge AI/ML.
Position Overview
Reporting to Ben Goeing as one of the first product managers at Ambient, you will oversee all phases of product feature development for a substantial surface area of the product. This includes end-to-end full responsibility of the roadmap, strategy, and execution for our large enterprise customers. In this role, you will work cross-functionally across sales, marketing, engineering, and leadership to guide products from conception to launch by connecting the technical and business worlds. You will also engage extensively with external customers to better understand how we can improve current products while also bringing new features and value to support their needs.
At Ambient, product managers have a direct impact on our growth and success in the market. We are creating a new category in the enterprise physical security market, and this role puts you right at the heart of an industry transformation.
The impact you'll make:
Work with a cross-functional team to manage and coordinate the product roadmap, strategy, and long-term vision
Drive new feature developments from start to finish
Run user research, usability studies, and data-driven experiments to inform product direction
Establish, monitor, and measure success metrics after deployment The amazing skills you'll bring to Ambient.ai:
5+ years experience in product management, with demonstrated experience in building and shipping products for enterprise customers
Experience managing ambiguity, complexity, and interdependencies within a product development cycle
Define and analyze metrics that inform the success of products
Strong communication and project management skills with the ability to work with multiple stakeholders, manage stakeholder relationships and prioritize stakeholder requests
Proactive, resourceful, and able to excel in a fast-paced environment 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, VMware, and SentinelOne
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 Ambient's tech stack is very extensive.
For the IoT server and the deep learning infrastructure, we use Python, C/C++, WebRTC and Tensorflow on GP-GPUs (NVIDIA).
The web backend and micro-services are written largely in Python. The frontend is a mix of React and native Javascript. The web infrastructure is supported by a variety of services such as Redis, celery, elasticsearch, Amazon RDS etc. We also use a variety of tools such as supervisor, docker, network monitoring tools and performance profilers.
Full-time
$102K–$118K
California, US
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