[Remote] Senior Manager, TDAC (Threat Detection and Analysis) 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

3+ years in physical security operations, GSOC/SOC, security command centers, or a closely related operational environment
1+ years managing or leading teams of analysts or operators in a 24/7 or high-tempo setting
Direct experience working in or closely with a SOC/GSOC (alarms, CCTV/VMS, access control, incident management tools)
Strong people management skills: setting expectations, coaching, performance management, and building healthy team culture
Experience creating and managing shift schedules, preferably in a 24/7 operations
Comfortable running to metrics: you know how to use simple dashboards and KPIs to steer day-to-day operations and coach your team
Excellent written and verbal communication skills with operators, peers, and cross-functional partners
Able to write clear incident summaries and operational updates
Comfortable representing your team in customer-facing or cross-functional conversations when needed

Responsibilities

Lead and develop a team of Threat Detection Analysts, driving hiring, onboarding, coaching, and performance management
Oversee daily operations to ensure timely and accurate alert triage, escalation, and documentation in alignment with SOPs
Monitor key performance metrics (response time, false positive rates, documentation quality) to guide continuous improvement and operational excellence
Manage shift schedules and staffing plans to maintain 24/7 coverage, balancing workload and team wellbeing
Collaborate with TDAC leadership, People Ops, and Product/Data teams to identify trends, optimize detection workflows, and improve tool and playbook performance
Partner with Customer Success to train customer SOC/GSOC teams and represent TDAC operations in customer sessions and QBRs
Provide clear updates and insights to internal and external stakeholders on incidents, patterns, and overall performance
Identify recurring pain points, contribute to SOP and process refinements, and participate in pilots of new tools and workflows

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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