Technical Account Manager at Ambient.ai

Redwood City, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

7+ years of experience in a customer-facing role (Technical Account Management, Customer Success, Field Engineering, or Customer Engineering)
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 stakeholders and complexity
Self-motivated, proactive team player with high integrity
Strong interpersonal skills and experience in building strong internal and external relationships
Excellent verbal and written communication & presentation skills
Basic understanding or interest in learning about machine learning / artificial intelligence

Responsibilities

Take complete ownership of customers' 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
Ensure customer feedback is clearly captured and conveyed internally to enable ongoing improvements to products and services
Engage with business leaders to help them identify opportunities to expand the footprint and depth of engagement
Partner with marketing to highlight opportunities for customer references and case studies
Able to travel up to 30%

Skills

Ambient.ai

AI software for proactive physical security

About Ambient.ai

Ambient.ai enhances physical security systems with software that uses artificial intelligence and computer vision. The technology helps security teams shift from reactive to proactive operations by detecting unusual changes in human behavior and locations, without relying on facial recognition. This approach respects privacy while providing AI-verified alerts that reduce false alarms and improve efficiency. The company aims to serve organizations needing security solutions while continuously adapting to the evolving risk landscape.

Palo Alto, CaliforniaHeadquarters

2017Year Founded

$70.2MTotal Funding

LATE_VCCompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Healthcare - Medical premiums are covered up to 95% for employees. Dental and Vision is covered at 75%.

401(k) - Choose our pre-tax or Roth 401K plan options, via Guideline, to save for retirement

WFH Stipends - We offer monthly reimbursement for phone and monthly reimbursement for wifi

Time Off - Employees need to recharge their batteries: it improves productivity, creativity and overall job satisfaction! Get your work done, loop in your manager and take a reasonable amount of time off

Employee Resource Group - Join or start one!

Other - Employee Assistance Program and Legal Services

Early Stock Option Exercise

Life Insurance

Visa & Greencard Sponsorship

Risks

Emerging AI security startups increase competition, threatening market share.

Privacy concerns and regulatory scrutiny could impact operations in strict regions.

Dependence on venture capital funding poses financial risks if future rounds falter.

Differentiation

Ambient.ai uses AI to detect behavior changes, not facial recognition, ensuring privacy.

The platform integrates with existing security systems, enhancing proactive threat detection.

Real-time adaptation through threat signatures allows for dynamic response to security risks.

Upsides

Rising demand for AI-driven analytics enhances Ambient.ai's market potential.

Integration with IoT devices offers comprehensive security solutions for clients.

Edge computing adoption accelerates data processing, improving threat detection efficiency.

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