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.

The Role

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 (HubSpot, 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.

What You’ll Build

Sales

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

Customer Success

• 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 QBR prep.

Operations

• 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.

RevOps / Revenue Systems

• 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.

What Success Looks Like

By the end of your first 90 days, you will have:

• Built a Sales → CS → Supply handoff automation in n8n (HubSpot → Teams → Supply alerts) with logging, retries, and clear ownership.
• Shipped a Clay + HubSpot 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.
  

Longer-term success:

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

What You’ll Do Day‑to‑Day

• Design and ship automations in n8n / Make / Zapier that connect HubSpot, 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.

Who You Are

You’re a systems thinker who likes owning problems end‑to‑end, not just writing isolated features. You’re comfortable with ambiguity, curious about how the business works, and motivated by building infrastructure that makes other people faster.

Must‑have:

• Degree in Computer Science, Software Engineering, Management Engineering, or strong equivalent experience.
• Hands‑on experience building automations with n8n / Make / Zapier (projects and co‑ops welcome).
• Familiarity with CRM systems (HubSpot is a plus) and their APIs/workflows.
• Strong JavaScript/TypeScript or Python skills; experience with REST APIs, webhooks, and async workflows.
• Interest in AI‑native workflows (LLMs, prompt engineering, AI coding tools) as a way to ship better systems, not as research for its own sake.
• Builder mindset: you like taking vague problems from “this is broken” to “this is shipped, monitored, and relied on.”
  

Bonus:

• Clay experience (enrichment and routing pipelines).
• Apollo experience (prospecting workflows, data quality, sequencing inputs).
• Microsoft Teams / Power Automate experience.
• Basic SQL and experience with lightweight databases or tools (Supabase, Airtable).
• Startup or founder‑adjacent experience where you owned scrappy systems end‑to‑end.

Tech Stack

• Automation: n8n (primary), Make, Zapier.
• GTM: HubSpot, Clay, Apollo.
• Data: Airtable, Google Sheets, basic SQL, Supabase.
• AI: OpenAI, Anthropic, AI coding tools (Cursor, Windsurf, etc.).
• Comms/Collab: Microsoft Teams, Google Workspace.
• Integrations: REST APIs, webhooks, internal services.

You’ll move comfortably between no‑code/low‑code tools and code, depending on what the problem needs.

Why Pontosense

• 25% month‑over‑month growth in a category‑defining deep‑tech company with global expansion underway.
• Direct access to the CEO and executive team. Real authority, real ownership.
• Build the AI backbone of a company where the product literally helps save lives.
• High autonomy, high trust, and meaningful equity, with compensation benchmarked to high‑growth startups.
• Your fingerprints will be on how this company scales—from a few core workflows to a fully AI‑powered operating system.

Our Commitment

At Pontosense, we are committed to creating a workplace that is inclusive and accessible to all. We value diversity and believe that everyone deserves an equal opportunity to succeed.

If you have a disability or special need that requires accommodation during the hiring process, please let us know. We will work with you to make the necessary accommodations to ensure a fair and positive experience for all applicants.

We strive to provide accessible communication and technology for our employees and customers and always look for ways to improve. If you have any feedback or suggestions on how we can improve accessibility in our workplace, please don’t hesitate to contact us.

We are proud to be an equal opportunity employer and welcome candidates from all backgrounds to apply for open positions at our company.

AI Disclosure

In accordance with Ontario’s employment legislation, Pontosense confirms that we do not use artificial intelligence (AI) or automated tools to make hiring decisions. Every application is reviewed directly by our Talent team and hiring managers.

We believe in a fair and human‑centred hiring experience where every candidate is given thoughtful consideration.