
Intellypod is an artificial intelligence company specializing in Generative AI solutions, machine learning, and digital transformation services. They provide tailored IT and digital services,…

Intellypod is an artificial intelligence company specializing in Generative AI solutions, machine learning, and digital transformation services. They provide tailored IT and digital services,…
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
81,000+
Open Roles
4,600+
New This Week
Job Title AI Project Manager — Healthcare Technology
Location: Remote, USA
Duration: Longterm contract
Rate: Low
(Jira required; Copilot / ChatGPT embedded)
Summary
We’re hiring a hands-on project manager who treats AI as the default way of working. This is a delivery-first role for a motivated, growth-minded PM with healthcare technology experience who will use our enterprise Copilot / ChatGPT and JIRA every day to build plans, manage risks, run meetings, and drive outcomes. This person is not being hired to build or train models — they will operationalize and relentlessly apply AI tooling to make project management faster, more predictable, and less manual
What you’ll own
· Own end-to-end project delivery for healthcare technology initiatives using JIRA as the source of truth
· Produce and maintain project plans, schedules, milestones, and RAID logs with AI-enabled automation and validation built into the cadence
· Drive daily progress tracking, remove blockers, and escalate when required to protect milestone delivery
· Lead stakeholder communications, executive reporting, and decision forums using AI to synthesize status and recommend next steps
· Run efficient meetings where AI extracts action items, owners, and follow-ups and feeds them back into JIRA and calendars
· Use AI to continuously surface risks and dependencies, quantify impact, and propose mitigations for rapid decision-making
· Implement JIRA workflows, dashboards, and automations that align with an AI-first delivery model and scale across teams
Required qualifications
· Demonstrated, hands-on use of LLM-based assistants (enterprise Copilot, ChatGPT, or equivalent) to create project plans, meeting minutes, status reports, and action-item automation
· 3+ years of software project management experience in healthcare technology or adjacent healthcare data domains, with strong domain familiarity including privacy and regulatory considerations such as HIPAA
· Advanced, practical experience using JIRA for planning, tracking, reporting, workflow design, and automation rules as the system of record
· Proven experience running Agile team cadences (Scrum or Kanban), facilitating cross-functional teams, and driving delivery across product, engineering, and ops
· Strong stakeholder management and communication skills - able to translate AI-driven signals into clear, actionable executive summaries
· Comfortable with data and analytics - able to read forecasts, validate predictions, and apply them to risk decisions
· Hunger to experiment - a growth mindset that seeks to push the boundaries of how AI can remove manual work and drive predictability
Preferred / nice-to-haves
· Prior PM experience on projects that shipped AI-enabled features or used ML-driven forecasting or automation
· Experience with enterprise Copilot integrations, ChatGPT/LLM plugins for JIRA, or other PM-focused AI tooling
· Familiarity with healthcare data standards such as FHIR, claims formats, or EHR integrations
· Certifications such as Certified ScrumMaster, PMP, or equivalent Agile credentials
· Hands-on scripting or low-code experience (Python, JavaScript, Power Automate) to create small automations or to partner effectively with engineers
What “AI-first” looks like in this role - concrete examples
· Project plans drafted by the PM with AI generating baseline schedules, dependency maps, and suggested owners for review and refinement
· Meeting notes and action items auto-extracted and pushed to JIRA tickets with owners and due dates assigned by the PM using Copilot prompts
· Automated status reports where AI synthesizes JIRA board data and sprint outcomes into a one-page executive summary with suggested mitigations for risks
· AI-nudges that surface potentially stale work, likely blockers, and dev/test bottlenecks before they impact delivery
· Use of AI to standardize RAID entries, auto-classify risk severity, and propose mitigations that the PM then vets and owns