<p><p><b>Job Description : </b> </p><p><br/></p><p>Technical Project Manager (Fullstack + AI).
We are looking for a hands-on Technical Project Manager with a strong Fullstack development background and proven expertise in managing complex technology projects.
</p><p><br/></p><p>The ideal candidate combines technical depth with project leadership skills and has experience in leveraging AI tools and emerging Generative AI capabilities to improve project outcomes, service quality, and delivery efficiency.<br/><br/><b>Key Responsibilities : </b><br/><br/></p><p>- Lead and manage end-to-end project delivery, ensuring timelines, quality, and stakeholder satisfaction.<br/><br/></p><p>- Remain hands-on with Fullstack technologies to provide technical guidance, unblock teams, and drive engineering best practices.<br/><br/></p><p>- Utilize AI-powered tools to optimize project execution, improve quality assurance, automate reporting, and enhance overall team productivity.<br/><br/></p><p>- Drive adoption of emerging Generative AI techniques for code assistance, documentation, testing, or workflow improvement.<br/><br/></p><p>- Collaborate with cross-functional teams (engineering, product, design, QA) to align on goals, requirements, and delivery milestones.<br/><br/></p><p>- Track and report on project health (scope, budget, timelines, risks, utilization) with actionable insights.<br/><br/></p><p>- Mentor and coach team members to build technical and delivery excellence.<br/><br/><b>Required Skills & Experience : </b><br/><br/></p><p>- 710years of experience in technology roles with at least 3+ years in project or delivery management.<br/><br/></p><p>- Strong hands-on experience in Fullstack development (JavaScript/TypeScript, Node.js, React/Angular, databases, APIs, cloud deployment).<br/><br/></p><p>- Proven ability to bridge technical and managerial responsibilities, balancing coding/architecture with stakeholder communication.<br/><br/></p><p>- Familiarity with AI/ML tools (e.g., code assistants, automated QA, project management AI integrations) to improve delivery efficiency.<br/><br/></p><p>- Exposure to Generative AI applications (prompting, lightweight RAG, AI-assisted development/testing).<br/><br/></p><p>- Strong understanding of SDLC, Agile methodologies, CI/CD, and DevOps practices.<br/><br/></p><p>- Excellent communication, leadership, and problem-solving skills.<br/><br/><b>Preferred Qualifications : </b><br/><br/></p><p>- Prior experience in enterprise-scale project delivery with distributed teams.<br/><br/></p><p>- Knowledge of cloud platforms (AWS, Azure, or GCP) for deployment and scalability.<br/><br/></p><p>- Experience with LLM-based productivity tools for project tracking, coding, or testing.<br/><br/></p><p>- Ability to evaluate and implement AI-driven workflows for project efficiency.<br/><br/><b>About Grid : </b><br/><br/></p><p>At Grid Dynamics, we specialize in simplifying and modernizing business operations for our clients across diverse industries, including Retail, Manufacturing, Insurance, Wealth Management, Pharma, and High-tech.<br/><br/>Our services encompass technology consulting, cloud platform and product engineering, AI, and advanced analytics.<br/><br/></p><p>We are not just an IT services firm; we are an organization that helps our clients build engineering excellence.
Engineering excellence is at the core of our approach, ensuring that we are business and architecture context-aware, have a systems view, continuously learn and reskill, and foster a culture of experimentation and innovation.<br/><br/></p><p>We are trusted by some of the most respected brands globally and serve as a co-innovation partner for startups, helping them transition into young enterprises poised for sustainable growth.<br/><br/></p><br/></p> (ref:hirist.tech)