Technical Account Manager

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

Technical Account Managers at Ambient.ai are responsible for helping some of the world’s largest enterprises successfully deploy and operationalize a highly configurable AI platform in complex security environments.

This is not a traditional Customer Success role, and it is not a pure post-sales engineering role. It sits in the middle.

The best people in this role combine customer leadership, technical curiosity, and strong execution. They can build credibility with technical and operational teams, drive clarity across multiple stakeholders, and keep momentum high from implementation through long-term adoption and growth.

If you enjoy working on complex customer problems, learning nuanced technology, and turning large enterprise deployments into real business outcomes, this is a high-impact role with significant visibility and ownership.

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  Own customer outcomes from post-sale implementation through renewal, adoption, and expansion

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  Lead customers through deployment, onboarding, testing, training, and operational rollout

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  Partner with customer stakeholders across security, IT, operations, and leadership teams to define goals, success criteria, and measurable outcomes

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  Develop deep proficiency in the Ambient.ai platform and help customers apply it effectively in real-world environments

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  Navigate technical and operational complexity by breaking ambiguous problems into clear next steps and driving cross-functional alignment

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  Build trusted relationships with both day-to-day users and executive stakeholders.

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  Capture customer feedback and field insights to help shape product, process, and go-to-market improvements

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  Identify opportunities to deepen customer impact and expand the partnership over time

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  Travel up to 30%

• 7+ years of experience in a customer-facing role such as Technical Account Management, Solutions Engineering, Customer Success, Field Engineering, or a similar role supporting complex enterprise technology

• Experience managing multi-stakeholder programs or implementations in enterprise environments

• A strong ability to learn sophisticated, configurable technology and understand how different systems, teams, and workflows fit together

• A customer-facing style that combines structure, urgency, and relationship-building.

• Strong problem-solving skills and sound judgment in ambiguous or fast-moving situations

• Excellent written and verbal communication skills

• A high degree of ownership, adaptability, and follow-through

Successful TAMs at Ambient.ai tend to have a strong balance of two capabilities:

• Comfortable going beyond surface-level product knowledge and enjoy building real technical proficiency in a complex system

• Strong account leaders who can drive action, align stakeholders, and keep customer programs moving

• Strong aptitude and interest to learn a nuanced platform, understand how it fits into a larger customer environment, and use that understanding to drive meaningful outcomes

• Experience in enterprise SaaS, security technology, or other operationally complex environments

• Exposure to networking, infrastructure, systems integration, or AI-driven products

• Experience in consulting, transformation, or other roles that required structured problem-solving and executive communication