Technical Project Manager (AI Products)

Accountabilities:

• • Lead AI-first projects end-to-end, from discovery and definition through delivery, launch, measurement, and iteration.
  • Translate business, clinical, and market objectives into clear, actionable, and technically feasible requirements.
  • Manage project scope, timelines, budgets, dependencies, risks, assumptions, and issues while maintaining strong delivery discipline.
  • Coordinate standups, Scrum ceremonies, stakeholder communications, project updates, and vendor activities as required.
  • Develop and maintain business analysis deliverables, including epics, user stories, acceptance criteria, process maps, gap analyses, and functional documentation.
  • Work closely with engineering teams to clarify requirements, challenge assumptions, understand technical architecture discussions, and remove delivery blockers.
  • Establish UAT plans, coordinate testing activities, prepare cutover plans and runbooks, and ensure teams are ready for production releases.
  • Track KPIs and OKRs, evaluate project outcomes, and use retrospective feedback to continuously improve delivery processes.
  • Establish project governance frameworks, including RACI structures, change-control processes, documentation standards, risk management, and privacy checklists.
  • Build dashboards, templates, and AI-powered automations that reduce project management overhead and improve visibility into delivery performance.
  • Maintain efficient task prioritization, delegation, and execution using project and collaboration tools such as ClickUp, Basecamp, Mattermost, Slack, and instant messaging.
  • Monitor delivery performance against agreed targets, with a strong focus on achieving projects on time and within scope.
  • Produce clear, concise documentation that reduces ambiguity, minimizes rework, and accelerates engineering throughput.
  • Act as a trusted bridge between business stakeholders, product teams, engineering, and other project participants.

  Requirements:

  • 5–8+ years of experience in Technical Project Management, Project Management, and/or Business Analysis.
  • At least 3 years of demonstrated experience managing fast-paced projects involving multiple stakeholders and concurrent delivery priorities.
  • Proven experience delivering cloud-based or AI-enabled products or features in close collaboration with engineering teams.
  • Strong business analysis capabilities, including requirements elicitation, user stories, acceptance criteria, process mapping, and gap analysis.
  • Strong technical fluency, with the ability to understand architecture discussions, communicate effectively with developers, and independently structure delivery plans.
  • Demonstrated ability to maintain a 90%+ delivery rate within projected timelines.
  • Excellent written and verbal communication skills, with a strong ability to turn complex information into clear and actionable documentation.
  • Strong organizational skills, including prioritization, delegation, time management, and risk management.
  • Experience with project management and collaboration tools; familiarity with ClickUp is particularly relevant.
  • Ability to operate independently, make sound decisions, and maintain delivery momentum in a high-growth environment.
  • Strong understanding of project governance, quality management, UAT, release readiness, KPI tracking, and retrospective processes.
  • Experience using automation or AI tools to improve project management workflows is a plus.
  • Experience delivering health or clinical products, regulated-data projects, or other highly controlled environments is desirable.
  • Familiarity with automated KPI dashboards and AI-enabled PM workflows is an advantage.

  Benefits:

  • USD $1,000–$1,500 per month base contractor fee.
  • Performance incentives, including an annual bonus for KPI over-performance.
  • Independent contractor engagement with monthly invoicing.
  • Payment in USD through direct bank deposit.
  • Fully remote work.
  • Significant ownership across product discovery, delivery, and iteration.
  • Opportunity to work on AI-enabled products across health, wellbeing, education, and enterprise.
  • End-to-end exposure spanning business analysis, product strategy, delivery leadership, stakeholder management, and user insights.
  • Opportunity to introduce AI and automation into project management and delivery processes.
  • Fast-growth environment with opportunities for increased responsibility as the organization scales.
  • Practical, impact-oriented work focused on helping teams operate more intentionally, transparently, and effectively.