C

Ciridae

End-to-end AI transformation and deployment

GTM Engineer

Growth MarketingConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Three or more years running outbound or growth systems at B2B software companies between seed and about $50 million in annual recurring revenue, including at least one build from zero.
  • Have built and run outbound campaigns that produced quality marketing-qualified leads that booked meetings, and be able to show the list logic, sequence, reply numbers, and meeting numbers.
  • Demonstrate high artificial intelligence fluency by having built an automation or artificial intelligence agent that is still running in production.
  • Have experience and skills building an artificial intelligence-managed, high-quality content generation engine.
  • Be able to turn positioning, customer pain points, and proof points into outbound sequences that earn responses from senior buyers and systematically improve the narrative based on campaign data and sales feedback.
  • Have set up or repaired and managed sending infrastructure, including domains, warmup, list verification, and deliverability.
  • Know when to buy or build and have demonstrated experience managing vendors to deliver outcomes.
  • Have an attribution setup or dashboard that a sales team used to make decisions.
  • Have operated a robust A/B testing methodology at scale and across channels.
  • Have experience running pre- and post-event campaigns for in-person events.

Responsibilities

  • Build and run the outbound engine and the systems behind it, including sending infrastructure, list building and enrichment, campaign pipelines through managed agents, the customer relationship management system, and measurement.
  • Put the written go-to-market plan and outbound motion into operation, launch the first campaigns, measure them, and report results.
  • Own the agents’ output while building or buying the agents that perform repeatable work.
  • Build an agent-based outbound campaign pipeline covering list building, enrichment, personalization, quality checks, and reply triage, wired together as reusable skills.
  • Launch the first campaign in one vertical and measure it weekly against an agreed positive-reply floor, using a hold-out group.
  • Launch sending infrastructure, including cousin domains, warmed mailboxes, and list verification, and monitor deliverability.
  • Consolidate the company’s contacts, deals, and history in one agentic customer relationship management system and keep it clean.
  • Implement end-to-end measurement of GA4, Google Search Console, and the website conversion path.
  • Achieve performance measured by positive-reply rate, meetings booked, and pipeline sourced by outbound.

Desired Qualifications

  • Experience with customer relationship management automations in Monaco or another agentic customer relationship management system.
  • Experience running a customer relationship management build or migration, including moving the data and history.
  • Python or TypeScript, SQL, and code shipped against application programming interfaces and webhooks to connect systems.
  • Claude Code or another agent framework, and n8n or Zapier.
  • Explorium, Clay, or other contact enrichment and verification at list scale.
  • Experience operating content for someone else, including publishing, distribution, and measurement.
  • A strong social following.
  • A portfolio of past work.
  • Design skills and high standards for artificial intelligence-generated outputs.

About the Company

Ciridae

End-to-end AI transformation and deployment

Ciridae provides end-to-end AI transformation services that help organizations become AI-first. It combines strategy with hands-on implementation to identify high-impact opportunities, modernize data foundations, and deploy production-grade AI systems that automate workflows across business functions. Its process includes diligence and risk assessment, workflow redesign, full-stack system construction (with integrations to existing systems), and ongoing command-and-control operations to monitor performance, handle exceptions, and iterate in production. Ciridae sits between traditional consulting and engineering teams, offering quick initial solutions and scalable architectures for longer-term transformation, especially in environments with legacy processes. The goal is to enable enterprises and PE-backed operators to adopt AI at scale, improve efficiency through automation, and maintain reliable, governed AI systems over time.

Company size
11-50
Company stage
Seed
Total funding
$20M
Headquarters
San Francisco, CA
Founded
2025

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