Sr. Technical Recruiter at Ambient.ai

Redwood City, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Computer Vision, Physical SecurityIndustries

Requirements

4+ years of full-cycle technical recruiting experience, with a minimum of 1+ years in a people management role, successfully leading and scaling a technical recruiting team
Prior startup experience; thrive in a fast-moving, often ambiguous, and decentralized environment and are comfortable acting as a self-starter
Successful track record of personally sourcing and closing a wide range of technical roles, from entry-level to director-level
Expert-level experience using modern Applicant Tracking Systems, specifically Ashby
Proficiency with curated recruiting platforms such as LinkedIn Recruiter and Juicebox, and other modern sourcing tools
Proven ability to create positive and lasting relationships with all "customers," including candidates, hiring managers, and business partners
Highly organized and metrics-driven, with a focus on data integrity and using insights to drive decisions
Deep technical acumen and ability to effectively screen and discuss software engineering skills across various domains, including backend, front-end, Applied Research Scientists, and more
Ability to articulate the value proposition of a venture-backed startup, including a strong understanding of equity and stock options, to successfully close director-level and senior technical talent
Deep understanding of the full-cycle recruitment process—from research and sourcing to behavioral interviewing and closing

Responsibilities

Own full-cycle recruiting ongoing load of 3-5 P0 requisitions
Maintain a deep understanding of the full-cycle recruitment process—from research and sourcing to behavioral interviewing and closing—to lead by example and jump in on critical roles as needed
Serve as a key strategic partner to Ambient.ai’s Engineering leadership to define, forecast, and execute on long-term talent acquisition needs and workforce planning
Influence Ambient.ai’s strategic direction with real-time knowledge from the technical talent market (e.g., where to find particular skill sets, competitive salary expectations, and innovative hiring practices)
Design, implement, and continuously refine our end-to-end recruiting process to ensure a smooth, positive, and equitable experience for all candidates
Directly manage a technical recruiting team
Stay informed of trends and innovative recruiting techniques to ensure Ambient.ai maintains a competitive edge with state-of-the-art and non-traditional recruiting practices
Maintain a deep connection to the Bay Area talent market

Skills

Key technologies and capabilities for this role

Full-Cycle RecruitingTechnical SourcingBehavioral InterviewingOffer ClosingSoftware Engineering ScreeningBackend EngineeringFrontend EngineeringTeam ManagementBay Area Talent Market

Questions & Answers

Common questions about this position

Is this position remote or hybrid?

The position is hybrid.

What salary or compensation information is provided?

This information is not specified in the job description.

What key skills are required for this Sr. Technical Recruiter role?

Key skills include deep technical acumen to screen software engineering skills across backend, front-end, and Applied Research Scientists, expertise in full-cycle recruiting from sourcing to closing, and ability to articulate equity and stock options for senior talent.

What does the team structure look like for this role?

This is a player-coach role where you will own full-cycle recruiting for 3-5 priority requisitions, directly manage a team, and partner strategically with Engineering leadership.

What makes a strong candidate for this Technical Recruiter position?

Strong candidates have hands-on full-cycle recruiting experience, deep Bay Area technical talent market knowledge, technical acumen for engineering roles, and strategic partnership skills with leadership.

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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