Shae Group-posted 3 months ago

We are a global AI-powered technology and services group operating multiple brands across health, wellbeing, and performance. We’re AI-first, outcome-obsessed, automation-heavy, and scale through tight systems, high standards, and radical transparency. We’re seeking outstanding Technical Project Managers with proven experience overseeing end-to-end product development cycles. Ideal candidates will have successfully delivered AI and software projects from concept to deployment.

  • Manage AI + software dev projects from scoping to deployment
  • Translate ideas and stakeholder input into structured documentation, tasks, and priorities
  • Run standups, sprints, and keep all stakeholders aligned
  • Coordinate across devs, product, creatives, and business
  • Keep multiple moving projects on time and on point
  • 3–5 years of experience managing AI and software development projects from concept to deployment
  • Proven ability to oversee full product development lifecycle, including scoping, planning, execution, and delivery
  • Strong experience with AI technologies (e.g., LLMs, prompt engineering, API integrations)
  • Proficient in software development methodologies (custom builds, low-code platforms, SaaS)
  • Skilled in writing clear technical documentation, tickets, briefs, and process workflows
  • Excellent stakeholder management and client-facing communication skills
  • Experience coordinating cross-functional teams including developers, designers, and business stakeholders
  • Proficiency in project management and collaboration tools such as ClickUp, Notion, Jira, Slack
  • Ability to manage multiple concurrent projects while meeting deadlines and maintaining quality
  • Strategic thinker with strong attention to detail and problem-solving abilities
  • Product management experience
  • Knowledge of Xano, Flutterflow, Python, or LLM tooling
  • Experience with remote or asynchronous teams
  • Base Salary: USD $1,000 per month
  • Performance Incentives: USD $150– $500 per month tied to KPI over-performance
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