Senior Project Manager (AI)

TL;DR

Senior Project Manager (AI): Drive end-to-end project delivery, manage client relationships, and lead cross-functional execution across Development, Design, QA, and DevOps with an accent on Agile/Scrum delivery, Jira workflows, and SDLC-aligned technical coordination. Focus on building AI-driven workflows for reporting, ticketing, sprint planning, and documentation while using Claude (or equivalent) to automate project management and productivity.

Company

hirify.global builds an AI-first environment for delivering web and product projects with client-facing ownership.

What you will do

• Own the full project lifecycle from onboarding through delivery.
• Run sprint planning, Jira workflows, backlog grooming, and stakeholder communication.
• Coordinate delivery across Development, Design, QA, and DevOps teams.
• Lead client calls, demos, UATs, and strategy discussions.
• Build AI-driven workflows for reporting, ticketing, sprint planning, and documentation.
• Use Claude (or equivalent AI tools) for project management automation and productivity workflows.

Requirements

• 3–4 years of experience in Project/Delivery Management in a tech company.
• Strong knowledge of Agile/Scrum and Jira.
• Experience managing external clients independently.
• Good understanding of SDLC, APIs, web products, and technical workflows.
• Strong communication, ownership, and problem-solving skills.
• Active day-to-day usage of AI tools.

Nice to have

• Experience with Drupal, Next.js, or Headless CMS.
• Exposure to SEO, SOC 2, or systems integration projects.

Culture & Benefits

• Fast-paced AI-first environment focused on automation and productivity.
• Cross-functional collaboration across engineering, design, QA, and DevOps.
• Client-facing ownership including demos and UAT leadership.
• Practical use of AI tools (Claude or equivalent) directly in project workflows.

Hiring process

• Interviews focused on delivery ownership, Agile/Jira practices, and client management experience.
• Discussion of technical understanding (SDLC, APIs, web products) and how AI tools are used in day-to-day work.