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Ciridae

End-to-end AI transformation and deployment

Deployment Strategist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Have 2 or more years of experience running complex, multi-workstream projects in consulting, operations, or technical implementation.
  • Have a track record of keeping projects on time without personally performing the technical work.
  • Have credibility in client-facing settings, including with C-suite stakeholders.
  • Demonstrate practiced use of AI tools through a workflow that improves output quality.
  • Show curiosity about how software is built and the ability to learn technical concepts quickly.

Responsibilities

  • Own implementation engagements from kickoff through close, including milestones, stakeholder relationships, steering committee agendas, change management, and the business case translating delivery into terms CFOs or investors can use.
  • Run client check-ins, synthesize engineering output into executive briefs, and build value measurement frameworks.
  • As the practice scales, build processes and playbooks to make subsequent engagements faster.
  • At the 2–3 year experience level, lead individual engagements with support; at 3–5+ years, own multiple active implementations and take a leadership role in building the delivery practice.

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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