Sales Development Representative, Enterprise SaaS
SamsungSalary not specified
Full Time
Entry Level & New Grad, Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, AI, Computer Vision, Physical Security, Enterprise SoftwareIndustries
Requirements
Candidates should have over 5 years of proven success selling enterprise technology, with a focus on SaaS and/or innovative hardware-based solutions, and clear examples of partnering with Sales to run complex technical deals with Enterprise customers. A solid understanding of L2 switching, basic Linux networking skills, and familiarity with cloud environments (GCP, AWS, Azure) are required. A Bachelor's degree in Computer Science or a related field is necessary, along with excellent written, verbal communication, and presentation skills. Bonus points for familiarity with security cameras and physical access control systems.
Responsibilities
The Senior Sales Engineer will partner with Regional Sales Managers to navigate complex, multi-stakeholder deals, and lead successful technical Pilots (proof of concepts/proof of values) with customers. They will execute Business Value Assessments, conduct engaging product demos and presentations to diverse audiences, and win deals through world-class preparation and execution with a consultative approach. The role involves building strong customer relationships as a trusted advisor by providing technical expertise, answering inquiries, and proposing solutions, while also working cross-functionally with Product, Customer Success, and Engineering teams to influence the roadmap and act as a voice of the customer.
Skills
Sales Engineering
AI
Computer Vision
Physical Security
Demonstrations
Pilots
Proposals
Customer Success
Technical Capabilities
Strategic Advantages
Sales
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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