Agentic AI Engineer

2 дн. назад

IrelandEuropeSenior

google cloudcloud rungkepub/subcloud schedulercloud workflowscloud loggingmonitoring

Software engineering role working on platform layer for GTM AI agent program, involving infrastructure, data connections, deployment pipeline, and observability.

О компании

 
builds an end-to-end marketing intelligence platform, with 15% of global advertising spend reported through our products. 
 
We help marketers turn their data into insights that improve business results and predict the best next step. Our technology streamlines marketing data for over 200,000 businesses through a network of agencies and customers like Shopify, HubSpot, and Nestlé. Since our founding in 2013, we’ve grown from a one-person shop to a key player in the industry—and we’re just getting started!
 
We're a team of 400+ growth-minded people from diverse backgrounds. Together, we make a multicultural, resourceful, and collaborative team.
 
operates on trust, transparency, and a keen customer focus. Forward-looking and action-oriented, we work hard to raise the bar in our industry. As team players, we help each other and win together.
 
We're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully.
 
is committed to providing a welcoming and inclusive workplace for all. We believe that a diverse workforce is a strong workforce, and we are dedicated to creating an environment where everyone feels valued and respected.
 
It all started with a Google t-shirt... Read the rest of our growth story at .com/about .
 
Our commitment to transparent hiring: At , we leverage AI in our early recruitment stages to efficiently match your skills to our roles and provide a frictionless scheduling experience. While AI helps us operate faster and fairer, all final hiring decisions and deep-dive interviews are conducted by our human team members.

Условия

Attractive salary and benefits package, including equity participation
Great work equipment, and home office allowance for fully remote locations
Health care benefit and leisure time insurance
Annual personal learning budget
Sports and wellbeing allowance
Benefits may vary depending on location. 
#LI-Hybrid

Другое

We're looking for an Agentic AI Engineer to join our team in Helsinki or Dublin. You'll own the platform layer that makes our entire GTM AI agent programme work: shared infrastructure, event routing, data connections, deployment pipeline, and observability that every agent depends on. This is a software engineering role, not a workflow-automation role,  you'll be writing and shipping production services on Google Cloud.
This role is for you if:
You have a strong interest in agentic AI and where it changes what automation can do
You think in systems and design for maintainability
You've owned the pager for something that mattered
You can sit with a non-technical GTM stakeholder, understand the actual problem, and translate it into an infrastructure decision
You're comfortable in a fast-moving environment where the patterns are still being set, and comfortable being the one who sets them
Must have:
Experience building and running production software: services you personally deployed, monitored, and were on the hook for when they broke
REST API and webhook experience: you've integrated multiple third-party systems from scratch
Applied LLM experience in production: agents or LLM-backed services you shipped and operated, including evaluation, guardrails, cost, and latency management
Hands-on Google Cloud experience with services such as Cloud Run (or GKE), Pub/Sub, Cloud Scheduler/Workflows, Cloud Logging & Monitoring
Working SQL and BigQuery: you read and write SQL comfortably and can connect an application to BigQuery to read, write, and update data
Nice to have:
Google-native AI tooling (Vertex AI, Agent Builder, Gemini API)
Direct experience with Salesforce, HubSpot, Gainsight, or Zendesk APIs
Experience in a RevOps, SalesOps, or MarketingOps-adjacent environment
Responsibilities:
Build and maintain the shared infrastructure for all AI agents run across the GTM org, including business development, sales, customer success, and support
Ensure all agents connect to tools like Salesforce, Gainsight, and Zendesk in a consistent way
Own and maintain the GTM Agent Registry: the master catalogue of every agent, what it does, who owns it, and when it was last reviewed
Set up and maintain observability, dashboards, and logs so the team can see what agents are doing and catch issues quickly
Maintain data quality and act as write authority on the Golden Record (BigQuery)