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 computer vision intelligence company transforming security operations for large enterprises by preventing security incidents before they happen. Ambient.ai has a globally deployed footprint with several F500 companies. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver physical security monitoring and detect threats in real-time. Ambient.ai does this while simultaneously decreasing false alarms by over 95%, allowing security teams to focus on legitimate threats and on rapid response. The future of enterprise physical security is data-driven, intelligent, and proactive.  With Ambient.ai, companies can do more with less, while also improving their security posture.

We were 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 investment 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 solving the toughest problems with cutting-edge AI/ML.

Position Overview:

Reporting to Kiran Palan, you will lead a team of passionate, talented engineers that are building products that are reshaping the physical security industry.  As an Engineering Leader, you're responsible for developing the overall concepts of new products while supporting the growth of current products. You will help define our growth strategy while working closely with Product Managers to align strategy and process and deliver against the product roadmap.   In this role, you will align internal business partners and leadership around this plan and partner with cross-functional teams to execute this plan.  You will play an active part in measuring and owning the quality and experience of the product while maintaining agility.

The impact you'll make:

• Lead current product engineering team, which includes front-end, Mobile, and backend developers
• Design, guide, and vet systems design within the scope of the broader area related to product development
• Scale the current team and hire and onboard new team members and develop a high-performing team of software engineers
• Be highly technical, a hands-on coder and an effective people coach
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
• Give your team the tools, context, confidence, and motivation to make decisions effectively and independently
• People management:  Set clear expectations with individuals based on their level and role while meeting regularly with individuals to discuss performance and development and provide feedback and coaching

The amazing skills you'll bring to Ambient.ai:

• 4+ years of engineering management experience with a proven ability to build awesome, high-performing teams and lead complex technical initiatives 
• Bachelor's degree in Computer Science, Engineering, or related technical degree
• Experience driving architecture and product decisions and shipping products with consistent execution
• Proficient in full-stack design principles and be able to lead code architecture and implementation decisions
• Comfortable coaching team members with different skill sets and technical areas of focus and expertise
• Understands and has led agile software development and management
• Organized and thrive in rapid-paced environments

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 Linkedin
• 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 will be 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

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\*: 

SF Bay Area:  $155,000 - $220,000

_\*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.  _

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.

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.