Senior GTM Engineer
About The Position
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. 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.
Requirements
- 6+ years of experience in a Technical GTM, Growth Engineering, or RevOps Engineering role within B2B SaaS
- Proficiency in scripting (Python or JavaScript) for building data pipelines and system triggers
- Hands-on experience with AI-workflow automation (n8n, AirOps, Clay) and technical familiarity with CRM/MAP (Salesforce/HubSpot)
- Familiarity with model context protocols, multi-agent orchestration, and tools like Cursor or Lovable for prompt sandboxing
- Ability to synthesize complex datasets and translate business objectives into elegant technical implementations
- Comfortable working independently in a fast-paced environment but possess the communication skills to align cross-functional teams
Responsibilities
- Design and automate end-to-end processes using Clay, AirOps, and n8n.
- Build and maintain the systems that support AI agents used for account prioritization, persona identification, and personalized messaging
- Implement workflows that synthesize first- and third-party intent signals to launch hyper-targeted, data-driven ABM campaigns
- Write the scripting and "glue-code" (Python/JavaScript) needed to ensure data flows cleanly between Salesforce, HubSpot, Snowflake, and our AI toolchain
- Build and iterate on messaging workflows using structured prompt engineering and model context protocols.
- Lead design sprints to optimize for reusability and outcome predictability
- Define KPIs and monitor system performance (e.g., engagement rates, prompt drift, and latency), making data-driven improvements to the GTM stack
- 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
Benefits
- 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)
- 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
- Opportunities to connect with co-workers
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
