Senior GTM Engineer

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-pa