Build a safer world with us, one incident at a time.
Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.
The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list.
Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.
Ready to learn more? Connect with us on LinkedIn and YouTube
The Role:
As a Senior Founding GTM Engineer at Ambient.ai, you’ll be the technical architect of our AI-driven growth engine. We aren’t just looking for someone to manage tools; we need a systems-minded engineer to build the "AI brain" for our entire go-to-market motion.
You’ll sit at the nexus of Sales, Marketing, and Data Engineering, using a mix of low-code automation and custom scripting (Python/JS) to turn account intelligence into a scalable revenue machine. Your mission: build an intelligent GTM engine that helps our team focus on high-value conversations instead of manual clicks.
What you'll do:
Architect AI-Driven GTM Workflows: Design and automate end-to-end processes using Clay, AirOps, and n8n. You will build and maintain the systems that support AI agents used for account prioritization, persona identification, and personalized messaging
Operationalize Intent Signals: Implement workflows that synthesize first- and third-party intent signals to launch hyper-targeted, data-driven ABM campaigns
Engineering the "Glue": Write the scripting and "glue-code" (Python/JavaScript) needed to ensure data flows cleanly between Salesforce, HubSpot, Snowflake, and our AI toolchain
Prompt Engineering & Orchestration: Build and iterate on messaging workflows using structured prompt engineering and model context protocols. You'll lead design sprints to optimize for reusability and outcome predictability
Measure & Observe: Define KPIs and monitor system performance (e.g., engagement rates, prompt drift, and latency), making data-driven improvements to the GTM stack
Evangelize the Engine: Document system behavior and contribute to shared prompt libraries, ensuring the Sales and Marketing teams understand how to leverage the "AI brain" you’ve built
The Expectations (Your First 90 Days):
30 Days: Map existing workflows, identify data silos, and deliver a systems audit with "quick win" automations
60 Days: Build and test agent-level workflows in production. Define messaging context boundaries and prototype workflows for persona simulation
90 Days: Fully own the AI-driven GTM infrastructure. Lead the implementation of long-term observability loops and productionize agent governance practices
What You’ll Bring:
6+ years of experience in a Technical GTM, Growth Engineering, or RevOps Engineering role within B2B SaaS
Technical Fluency: Proficiency in scripting (Python or JavaScript) for building data pipelines and system triggers
The Modern Stack: Hands-on experience with AI-workflow automation (n8n, AirOps, Clay) and technical familiarity with CRM/MAP (Salesforce/HubSpot)
AI Sophistication: Familiarity with model context protocols, multi-agent orchestration, and tools like Cursor or Lovable for prompt sandboxing
Systems Thinking: Ability to synthesize complex datasets and translate business objectives into elegant technical implementations
Builder Mindset: You are comfortable working independently in a fast-paced environment but possess the communication skills to align cross-functional teams
Why join us:
We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible
We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne
Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan)
We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year’s for most roles, depending on customer demand)
The latest tech and awesome swag will be delivered to your door
Enjoy a full range of opportunities to connect with your awesome co-workers
We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist
#LI-Hybrid
Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.
Skills Required
- 6+ years of experience in Technical GTM, Growth Engineering, or RevOps Engineering role within B2B SaaS
- Proficiency in scripting (Python or JavaScript)
- Hands-on experience with AI-workflow automation (n8n, AirOps, Clay)
- Familiarity with model context protocols, multi-agent orchestration, and prompt sandboxing tools
- Ability to synthesize complex datasets for technical implementations
Ambient.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ambient.ai and has not been reviewed or approved by Ambient.ai.
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Healthcare Strength — Health coverage is described as comprehensive with the employer paying a substantial share of medical, dental, and vision premiums. This strengthens total rewards for those prioritizing robust healthcare.
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Equity Value & Accessibility — Equity is positioned as meaningful, with low dilution and access to early option exercise. This increases perceived ownership and long‑term upside as part of total compensation.
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Strong & Reliable Incentives — Sales plans advertise competitive on‑target earnings for SDR and enterprise-focused roles, with significant upside for high performers. Incentive structures are presented as strong relative to software‑sector norms.
Ambient.ai Insights
What We Do
Ambient.ai is a computer vision intelligence company transforming enterprise security operations to prevent security incidents before they happen. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and automate the immediate dispatch of human resources. Ambient.ai is the first platform that goes beyond basic motion detection and image recognition to achieve near-human perception with automated situational context. With physical security incidents on the rise and physical security organizations left under-resourced, Ambient.ai’s computer intelligence platform comes at a time of critical need, which is why the company has raised over $50 million from venture capital investors led by a16z. Today, large enterprises, schools and organizations – including many of the largest US tech companies and other Fortune 500 companies – use Ambient.ai to secure property, people, and assets from the most harrowing physical security threats. The company was founded in 2017 by experts in artificial intelligence from Stanford who previously built iconic products at Apple, Google, Microsoft and Dropbox. We are backed by Andreessen Horowitz (a16z), SV Angel, Y Combinator, and visionary angels like Jyoti Bansal, Mark Leslie and Elad Gil.









