About The Position

As a Project Manager, you will take ownership of high-impact projects, driving innovation, quality, and long-term client success. You will coordinate diverse teams, manage scope, schedule, budget, and risks, and ensure delivery excellence. You will also champion AI adoption, lead proof-of-concepts with emerging tools, and promote best practices within the organization.

Requirements

  • 3–4 years as Project Manager in IT Services
  • Proven track record managing fixed-price projects
  • Pre-sales experience
  • Experience managing diverse teams in remote/hybrid setups
  • Proficiency in PM tools (Jira, MS Project, Trello)
  • Budget tracking for fixed-price contracts
  • Understanding of SDLC
  • Experience in driving AI adoption across the SDLC by integrating AI tools and practices to enhance planning, requirements, coding, testing, quality assurance, and delivery efficiency
  • Upper-intermediate level of English
  • Conflict resolution & decision-making under tight deadlines
  • Strong communication & stakeholder management skills

Nice To Haves

  • BA/PO experience
  • Experience managing software teams of >8 FTEs
  • Mentoring/people management skills

Responsibilities

  • Plan, execute, monitor, and close projects of moderate to high complexity
  • Develop and maintain project documentation (charter, plans, backlog, status reports)
  • Manage requirements, scope, schedule, budget, risks, and quality
  • Lead team management: resource planning, allocation, performance tracking, conflict resolution, motivation
  • Ensure quality through demos, reviews, engineering practices, continuous improvements
  • Build long-term customer relationships and support sales activities
  • Mentor team members and participate in recruitment
  • Drive AI adoption across SDLC and act as AI Champion
  • Lead PoC with emerging AI tools and technologies to evaluate their fit, demonstrate value, mitigate risks, and accelerate innovation in client projects
  • Act as an AI Champion: promote responsible and effective use of AI within project teams and the broader organization, educate stakeholders, champion best practices, address concerns, and foster a culture of AI-driven transformation
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