or apply directly on Supermetrics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days Supermetrics's roles stay open a median of 29 days
- Reposted
- No
- Salary listed
- No 15% of Supermetrics's roles list one
- Ghost-job risk at Supermetrics
- high 5 stale, 1 reposted of 13 open
- Hiring momentum
- 25 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Supermetrics's own greenhouse board since 2026-08-03. Full hiring picture for Supermetrics.
About this role
As an Agentic AI Engineer, you will be responsible for developing and maintaining the platform layer that supports the GTM AI agent program, focusing on shared infrastructure, event routing, and deployment pipelines. Your role involves writing and shipping production services on Google Cloud, ensuring integration with various third-party systems, and maintaining observability for AI agents across the organization.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Supermetrics as an employer.
What you need
- 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
What you get
- 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
Worth weighing
- No specific salary listed
- Role involves building infrastructure in a fast-moving environment with evolving patterns
- Focus on integration with multiple third-party systems may require adaptability
Summarised from Supermetrics's posting. Read the full original.
Listed by Supermetrics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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