Go-to-Market (GTM) Engineer
HopSkipDriveSalary not specified
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Physical Security, AI, TechnologyIndustries
Requirements
- 3–7 years in technical GTM roles (Growth Marketing, Revenue Ops, Digital Marketing, Marketing Ops) with a focus on pipeline generation and system integration
- Strong technical skills: proficiency with CRM systems (Salesforce), marketing automation (Hubspot), and AI-driven prospecting and outreach tools (e.g., Clay, Outreach), AI-workflow automation (AirOps, n8n), marketing attribution (Hockeystack)
- Analytical Mindset: Ability to synthesize complex datasets, derive actionable insights, and optimize campaigns based on performance metrics
- Problem-Solving: Proven track record of translating business needs into innovative technical solutions in fast-paced environments
- Collaboration: Excellent communication skills to align cross-functional teams and drive shared objectives
Responsibilities
- Architect AI-Driven GTM Workflows: Design and automate end-to-end GTM processes across CRM, marketing automation, and outreach platforms, leveraging AI-powered workflows to enable scalable demand generation and pipeline acceleration
- Build intent-driven ABM campaigns: use AI-powered tools to synthesize account intelligence, launch outbound programs, and iterate via rapid experimentation
- Integrate and maintain GTM tech stack: manage CRM, automation platforms, enrichment tools, ensuring data integrity and streamlined operational flows
- Collaborate cross-functionally, translating business objectives into technical implementation: work closely with Sales, Marketing, RevOps, and Product to optimize pipeline health
- Measure and improve: define KPIs, monitor system performance, A/B test campaigns, and optimize workflows based on data insights
Skills
Clay
HockeyStack
AirOps
n8n
CRM
Marketing Automation
Workflow Automation
AI Workflows
Revenue Operations
Pipeline Generation
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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