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Job description
About the Role
We are seeking an Agentic AI Engineer to become an integral part of our team based in either Helsinki or Dublin. In this position, you will take ownership of the core platform layer that supports our comprehensive Go-To-Market (GTM) AI agent program. Your work will encompass the development and maintenance of shared infrastructure, event routing mechanisms, data integration, deployment pipelines, and observability tools critical to the operation of all AI agents. This is a software engineering role focused on creating and deploying production services on Google Cloud, rather than a workflow automation position.
Key Responsibilities
- Develop and sustain shared infrastructure utilized by the entire suite of AI agents within our GTM organization, spanning business development, sales, customer success, and support functions.
- Guarantee consistent integration of agents with major tools such as Salesforce, Gainsight, and Zendesk.
- Manage and update the GTM Agent Registry, a centralized catalog describing each agent’s purpose, ownership, and review history.
- Implement and maintain observability solutions including dashboards and logs to monitor agent operations and rapidly identify issues.
- Oversee data integrity and act as the authority for writing on the Golden Record stored in BigQuery.
Required Experience and Skills
- Practical experience building and operating production-grade software, with accountability for deployment, monitoring, and reliability.
- Strong familiarity with REST APIs and webhook integrations, having built connections with multiple third-party systems from the ground up.
- Hands-on applied experience deploying large language model (LLM) powered agents or services in production, including evaluation, guardrails implementation, and handling cost and latency optimization.
- Proficiency with Google Cloud services, including but not limited to Cloud Run (or GKE), Pub/Sub, Cloud Scheduler/Workflows, and Cloud Logging & Monitoring.
- Comfortable writing and reading SQL, and experience connecting applications with BigQuery for data manipulation.
Preferred Qualifications
- Familiarity with Google-native AI tools such as Vertex AI, Agent Builder, or Gemini API.
- Experience working directly with APIs of Salesforce, HubSpot, Gainsight, or Zendesk.
- Background in Revenue Operations (RevOps), Sales Operations (SalesOps), or Marketing Operations (MarketingOps) environments.
Perks and Benefits
- Competitive salary package complemented by benefits including opportunities for equity participation.
- Modern work equipment and a home office allowance for remote employees.
- Health care and leisure time insurance coverage.
- Allocated annual budget for personal learning and development.
- Sports and wellness allowance to support work-life balance.
About Supermetrics
Supermetrics empowers marketers worldwide to make more informed decisions by seamlessly connecting marketing data from platforms like Facebook Ads and Google Analytics to AI tools, analytics platforms, and data warehouses. Users can interact with AI tools such as Claude and ChatGPT to inquire about campaigns and receive actionable insights grounded in real-time data. Our platform allows marketing teams to manage multi-channel campaigns efficiently with automated updates and built-in guardrails to maintain control.
Our clientele ranges from small teams seeking enterprise-grade reporting without complexity, global brands like Dyson and L'Oréal managing billions in ad spend, to leading agencies like dentsu and McCann UK handling extensive client portfolios. Since our inception in 2013, we have expanded to over 300 professionals across 10 countries spanning three continents, boasting a diverse team representing more than 50 nationalities.
Supermetrics operates on principles of trust, transparency, and customer-centricity. We value proactive ownership and collaborative teamwork, fostering an inclusive culture that encourages respect and fairness.
Recruitment Process and AI Usage
We incorporate AI tools within our hiring process to streamline candidate evaluation, such as summarizing resumes and organizing interviews. While AI may conduct preliminary interviews for some roles, a human recruiter reviews the interactions to decide the next steps. Throughout the interview stages, human interviewers may use AI for note-taking but not for evaluating candidates. Candidates will be informed and can opt out of AI recordings if preferred. All final hiring decisions rest with our human recruitment and hiring teams.