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

The Technical Account Management team, led by Pete Oelschlaeger, at Ambient.ai plays a pivotal role in the lives of our F500 enterprise customers. They expertly guide each client from kickoff through implementation, onboarding, testing, and training—ensuring smooth product adoption and delivering best practice insights that maximize value, drive success on our platform, and ultimately fuel renewal and expansion.

As a Technical Account Manager, you will combine technical muscle, consultative problem-solving, and a customer-focused mindset to ensure our customers maximize the value of Ambient.ai. This role is for someone who thrives in a fast-paced environment, enjoys working closely with cutting-edge technology, and has a proven track record of driving successful outcomes for enterprise customers.

The impact you’ll make:

• Take complete ownership of our customer's success, guiding them from post-contract signature to renewal; Collaborate closely with stakeholders to define and document critical goals, success criteria, and KPIs and regularly measure and report progress toward these objectives

• Drive technical implementation, product configuration, and onboarding processes. Guide customers through setup, training, testing, and deployment, ensuring seamless integration into their existing security environment

• Become an expert on the Ambient.ai platform and relevant technologies, including networking, cloud infrastructure, and AI/ML. 

• Ensure customer feedback is clearly captured and conveyed internally to enable ongoing improvements to our products and services 

• Engage with business leaders to thoughtfully help them identify opportunities to expand our footprint and depth of engagement

• Partner with marketing to highlight opportunities for customer references and case studies

• Able to travel up to 30%

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

• 7+ years of experience in a customer-facing role, such as Technical Account Management, Customer Success, Field Engineering, or Customer Engineering, ideally within enterprise SaaS or startup environments

• Basic understanding of L2 switching (VLANs, limitations of L2 vs. L3, physical vs. logical network isolation

• Basic Linux networking skills (assigning IP/mask/gateway to NICs, configuring MLAG/failover redundancy)

• Strong program management skills and experience managing projects at large enterprise companies with multiple stakeholder complexity

• Self-motivated, proactive team player with high integrity and desire to assist your colleagues and customers - you can be flexible as this company & role scales

• Strong interpersonal skills and experience building strong internal and external relationships

• Strong analytical and problem-solving skills; displays trust and integrity under pressure when working through customer issues

• Excellent verbal and written communication & presentation skills

• Basic understanding or interest in learning about machine learning / artificial intelligence

• Bonus: Experience in management consulting and/or business process transformation

Why join us:

• We are creating an entirely new category within a 120+ 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 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

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.