You've managed dozens of IT projects — but you're tired of firefighting with spreadsheets and gut instinct. You want to run projects where AI-driven analytics predict risks before they materialize, where your toolchain actually amplifies your judgment instead of slowing you down. If you're a PMP-certified PM who's already integrating GenAI into your daily workflow, this could be the next step in your career.

What you will be doing Leading end-to-end IT project delivery using AI-augmented planning, scheduling, and risk management — ensuring every project lands on time, on budget, and on scope.

Integrating GenAI tools (ChatGPT, Gemini, Claude) and AI-powered PM platforms (JIRA, Smartsheet) into daily workflows to automate reporting, surface predictive insights, and accelerate decision-making.

Driving continuous process optimization by designing and implementing new AI-enhanced project management methodologies that the broader team adopts.

Analyzing project data and predictive analytics to proactively identify bottlenecks, forecast delivery risks, and present data-backed recommendations to stakeholders.

Managing escalations with speed and precision, resolving blockers quickly and building systemic fixes so the same issues don't recur. What you will NOT be doing Babysitting status updates manually — you'll build and leverage automated dashboards and AI-generated reports instead of chasing people for updates.

Running projects in a vacuum — you won't be a "ticket jockey" with no strategic input; you'll have real ownership of outcomes and process innovation.

Using outdated tools and waterfall-only methods — we invest in modern tooling and expect you to push the boundaries of how AI can improve delivery.

Sitting in back-to-back status meetings all day — we protect maker time and expect you to spend meaningful hours on analysis, optimization, and hands-on problem solving.

Writing 50-page project plans nobody reads — documentation is lean, actionable,



and increasingly AI-assisted.

Responsibilities Own full project lifecycle (initiation → closure) for multiple concurrent IT projects, ensuring delivery against agreed scope, timeline, budget, and quality KPIs.

Build and maintain AI-enhanced project plans, schedules, and resource allocations in JIRA and/or Smartsheet.

Produce weekly predictive risk and status reports using data analytics and AI-generated insights; present findings to leadership and clients.

Design, pilot, and scale new AI-integrated PM processes that measurably improve efficiency, accuracy, or stakeholder satisfaction.

Manage project budgets, track burn rates, and forecast costs with data-driven precision.

Facilitate cross-functional collaboration between engineering, QA, design, and business stakeholders.

Handle escalations decisively — resolve issues within SLA and implement root-cause fixes.

Maintain high customer satisfaction scores by proactively communicating progress, risks, and trade-offs.

Requirements PMP Certification (active and in good standing).

3+ years of project management experience in the IT industry, managing software development, infrastructure, or digital transformation projects.

Demonstrated proficiency with JIRA and/or Smartsheet for scheduling, resource allocation, tracking, and reporting.

Hands-on experience using GenAI tools (ChatGPT, Gemini, Claude, or similar) to improve personal or team productivity, with demonstrated integration of these tools into real-world workflows.

Strong analytical thinking and problem-solving skills — comfortable working with project data,



predictive analytics, and translating numbers into decisions.

Proven ability to manage multiple concurrent projects with competing priorities without dropping quality.

Excellent written and verbal communication skills — you can present to executives and write a clear Slack message with equal ease.

Process improvement mindset — track record of identifying inefficiencies and implementing better ways of working. Nice to Have Experience with additional AI/ML platforms or automation tools (e.g., Zapier, Power Automate, Python scripting for data analysis).

Agile/Scrum certification (CSM, SAFe, or equivalent) in addition to PMP.

Background in prompt engineering or building custom GPTs/agents for project management use cases.

Experience managing projects that directly involved AI/ML product development or deployment.

Familiarity with DevOps practices, CI/CD pipelines, or cloud infrastructure projects (AWS, Azure, GCP).

Prior experience in a consulting or client-facing delivery environment. What you will learn Cutting-edge AI-augmented project management — you'll develop and refine methodologies that most PMs won't encounter for years, putting you at the forefront of the discipline's evolution.

Predictive analytics for project delivery — move beyond lagging indicators and learn to build forward-looking models that anticipate risks and resource needs.

Advanced GenAI prompt engineering and workflow design — deepen your ability to leverage LLMs as a force multiplier across planning, communication, and reporting.

Process innovation at scale — learn how to design, pilot, and roll out new AI-integrated processes across an organization, building a skillset that's increasingly rare and valuable.

Cross-domain IT exposure — manage projects spanning software engineering, infrastructure, and digital transformation, broadening your technical fluency.

📌 Project Manager, AI-DNA (Argentina)
🏢 IgniteTech
📍 Argentina