{"id":159787,"url":"https://alion.io/job/supermetrics-agentic-ai-engineer","title":"Agentic AI Engineer - GTM Systems","company":{"id":56693,"name":"Supermetrics","domain":"supermetrics.com","url":"https://alion.io/company/supermetrics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Helsinki, Finland","Dublin, Ireland"],"countries":["FI","IE"],"hiring_countries":["FI"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":123000,"period":"year","method":"role_country_seniority_unknown","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google GKE","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Gemini","optional":true},{"name":"Kubernetes","optional":true},{"name":"Vertex AI","optional":true},{"name":"Vertex AI Agent Builder","optional":true}],"status":"live","first_seen_at":"2026-06-05T07:06:38Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-18T04:45:40Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":134},"description":"We’re looking for an Agentic AI Engineer to join our Revenue Operations team in Helsinki or Dublin.\nThis is a new role within our team, and because of that, it’s a little different from a traditional engineering position. You’ll be part of the RevOps team as its sole engineer, working closely with stakeholders across Sales and the wider GTM and RevOps organisation. This means a high level of ownership and the opportunity to build something meaningful beyond the traditional product space, especially if you’ve worked with GTM teams before or are interested in exploring a different side of engineering.\nYou’ll help shape how the platform evolves and see firsthand how your work transforms the way our revenue teams operate.\nImportantly, this is a software engineering role, not a workflow automation role. You’ll build and ship production services on Google Cloud, owning the platform layer behind our entire GTM AI agent programme. This includes the shared infrastructure, event routing, data connections, deployment pipeline, and observability that every agent relies on.\nThis role is for you if:\nYou have a strong interest in agentic AI and where it changes what automation can do\nYou think in systems and design for maintainability\nYou've owned the pager for something that mattered\nYou can sit with a non-technical GTM stakeholder, understand the actual problem, and translate it into an infrastructure decision\nYou're comfortable in a fast-moving environment where the patterns are still being set, and comfortable being the one who sets them\nMust have:\nExperience building and running production software: services you personally deployed, monitored, and were on the hook for when they broke\nREST API and webhook experience: you've integrated multiple third-party systems from scratch\nApplied LLM experience in production: agents or LLM-backed services you shipped and operated, including evaluation, guardrails, cost, and latency management\nHands-on Google Cloud experience with services such as Cloud Run (or GKE), Pub/Sub, Cloud Scheduler/Workflows, Cloud Logging & Monitoring\nWorking SQL and BigQuery: you read and write SQL comfortably and can connect an application to BigQuery to read, write, and update data\nNice to have:\nGoogle-native AI tooling (Vertex AI, Agent Builder, Gemini API)\nDirect experience with Salesforce, HubSpot, Gainsight, or Zendesk APIs\nExperience in a RevOps, SalesOps, or MarketingOps-adjacent environment\nResponsibilities:\nBuild and maintain the shared infrastructure for all AI agents run across the GTM org, including business development, sales, customer success, and support\nEnsure all agents connect to tools like Salesforce, Gainsight, and Zendesk in a consistent way\nOwn and maintain the GTM Agent Registry: the master catalogue of every agent, what it does, who owns it, and when it was last reviewed\nSet up and maintain observability, dashboards, and logs so the team can see what agents are doing and catch issues quickly\nMaintain data quality and act as write authority on the Golden Record (BigQuery)\nBenefits we offer…\nAttractive salary and benefits package, including equity participation\nGreat work equipment, and home office allowance for fully remote locations\nHealth care benefit and leisure time insurance\nAnnual personal learning budget\nSports and wellbeing allowance\nBenefits may vary depending on location. \n#LI-Hybrid \nJoin us in putting AI to work for marketers \nSupermetrics helps marketers make better decisions. It connects marketing data from platforms like Facebook Ads and Google Analytics to the AI tools, analytics tools, and data warehouses marketers already use, putting it right where they need it.\nWith Supermetrics, a marketer can connect their data to AI tools like Claude and ChatGPT, ask questions about their campaigns, and get insights and recommendations grounded in live data. From there, they can also manage and update campaigns across every connected platform, automatically and in one place, using guardrails to stay in control.\nWe work with organizations of every size: small teams that want enterprise-level reporting without the overhead, global brands like Dyson and L'Oréal that need visibility across millions in ad spend, and agencies like dentsu and McCann UK that manage large portfolios of client accounts at scale. In total, over 200,000 businesses trust Supermetrics to help them make the best decisions with their marketing data. We've grown from a one-person shop in 2013 into a global powerhouse, and we're only getting started.\nToday, we're 300+ people, with teams spread across 10 countries and 3 continents. Our team represents more than 50 nationalities which makes us a multicultural, collaborative, thriving team.\nSupermetrics operates on trust, transparency, and a keen customer focus. Forward-looking and quick to act, we see what needs doing, take ownership, and run with it. As team players, we help each other and win together.\nWe're hiring for a diverse, skilled, and collaborative team and building an inclusive workplace where everyone is treated fairly and respectfully.\nIt all started with a Google t-shirt... Read the rest of our story at supermetrics.com/about.\nHow we use AI in the recruitment process:\nWe use AI to help our recruiters work through applications faster, for example, summarizing your resume and scheduling interviews. A recruiter reviews every application, and no hiring decision is ever made by AI.\nFor some roles, your first interview may be with an AI interviewer instead of a person, and a recruiter reviews that conversation before deciding whether you move forward. From there, our human interviewers may use AI to take notes throughout the rest of the process, never to score or evaluate you, just so they can stay focused on the conversation instead of typing. You'll be told before this happens, and if you'd rather not be recorded, you can opt out at any point. It covers the rest of your process and never affects how you're evaluated. 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