AI Automation Engineer, GTM

Falls are the leading cause of injury‑related death for older adults, responsible for more than 700,000 deaths every year. Existing solutions fail: cameras invade privacy, microphones are unreliable, and wearables are not worn. We are the only company that can detect falls at scale without cameras, without wearables, and without friction.

We are scaling fast at ~25% month‑over‑month and need AI embedded into every layer of our operating system to sustain this trajectory. Your work will directly shape how quickly and reliably we move from first contact to installed, real‑world use

In this role, you’ll focus on building automations and AI agents that remove unnecessary manual work, reduce lag between teams, and keep our GTM tools in sync—so Sales, CS, Product and Operations can focus on conversations and decisions, not on moving data between systems.

If you want to build the engine behind a high‑growth company—not just operate inside one—this role is for you.

We’re hiring an AI Automation Engineer to design and own the systems and automations that support our go‑to‑market teams across the full customer journey—from lead routing and enrichment to onboarding and deployment.

This role sits in the Founder’s Office and works directly with executive leadership. You will design and build the revenue infrastructure that powers our next stage of growth.

This is a systems‑building role at the intersection of business, data, and automation. You’ll translate strategy into scalable execution by wiring together our GTM stack (Hub Spot, Clay, Apollo, Teams, internal tools) and embedding AI where it actually removes friction.

You’ll spend your time understanding how Sales, Customer Success, Product and Operations really work today. Then turn those workflows into clean, observable automations and AI agents that we rely on every day.

• Lead enrichment, scoring, and routing using Clay, Apollo, and Hub Spot.
• Sequencing support and meeting‑prep agents that pull context into one place.
• Pipeline hygiene automations that keep data complete, consistent, and up to date.

• Onboarding handoffs from Sales → CS with clear, structured context.
• Ticket triage and summaries, including AI‑generated digests for faster responses.
• Early‑signal workflows for renewal risk and Q  prep.

• Capacity and delivery‑readiness signals connected to GTM activity.
• Automated alerts and dashboards so Supply isn’t surprised by upcoming demand.
• Visibility into throughput from lead → deal → install.

• Data quality enforcement: deduping, validation, lifecycle stages, and routing logic.
• Observability: logs, alerts, failure dashboards, and routing audit trails.
• Internal playbooks and documentation so systems are understandable and extensible.

• Built a Sales → CS → Supply handoff automation in n8n (Hub Spot → Teams → Supply alerts) with logging, retries, and clear ownership.
• Shipped a Clay + Hub Spot lead intelligence pipeline for enrichment, auto‑qualification, and AE assignment.
• Stood up an Airtable/Sheets dashboard for supply/capacity and GTM throughput, wired to live data.
• Launched a small set of AI agents (e.g., meeting prep, ticket summarization) that at least one team is using in their weekly workflow.

• Pontosense runs faster because of your systems.
• Leadership gets cleaner data with less effort.
• Teams rely on your automations daily.

• Design and ship automations in n8n / Make / Zapier that connect Hub Spot, Clay, Apollo, Teams, Google Workspace, and internal tools.
• Build and maintain AI agents (LLM‑based) for research, summarization, draft generation, and action triggers, with clear guardrails.
• Own integrations and data flows between GTM systems (APIs, webhooks, data quality rules, lifecycle logic).
• Monitor and improve reliability: logging, alerts, dashboards, and audit trails for key workflows.
• Document what you build and run internal walkthroughs so GTM teams can request and adopt new automations confidently.

You’re a systems thinker who likes owning problems end‑to‑end, not just writing isolated features. You’re comfortable…