Experience Level: 6–10 Years

Employment Type: Full-time

About Ncoder.ai

Ncoder.ai is an cutting-edge technology company focused on delivering cutting-edge AI solutions, modern software platforms, and digital transformation for global clients. We build intelligent, scalable systems, and we are looking for a seasoned Senior Project Manager to lead cross-functional delivery teams and keep our ambitious roadmap on track.

Role Summary

As a Senior Project Manager (6–10 Years Experience) at Ncoder.ai, you will lead end-to-end delivery of complex software and AI-driven projects. You will act as the operational engine—bridging the gap between business requirements, engineering execution, product management, and executive leadership.

The ideal candidate brings strong Agile expertise, deep technical fluency, client management skills, and a proven track record of delivering SaaS, cloud, or enterprise software products on time and within scope.

Key Responsibilities

1. Delivery & Execution Management

- Lead end-to-end planning, execution, tracking, and delivery of multiple software and AI development projects.
- Establish clear project scope, release cycles, milestones, dependencies, and risk mitigation strategies.
- Conduct daily standups, sprint planning, backlog refinement, sprint reviews, and retrospectives (Scrum/Kanban).
- Monitor resource utilization, capacity allocation, velocity, and delivery timelines to maintain predictable output.

1. Stakeholder & Client Engagement

- Serve as the primary point of contact for internal stakeholders, executive leaders, and enterprise clients.
- Translate business goals, client needs,



and product features into actionable technical requirements and user stories.
- Manage client expectations, provide regular progress reports, and handle change requests (Scope Creep Management).

1. Team Leadership & Process Optimization

- Lead cross-functional engineering teams comprising Software Engineers, AI/ML Engineers, QA, Data Engineers, and Designers.
- Continuously refine Agile processes, tooling, and communication workflows to drive team efficiency and velocity.
- Unblock technical and operational obstacles so engineers can focus on execution.

1. Risk, Quality & Budget Management

- Proactively identify project risks, technical bottlenecks, and dependency conflicts; implement swift mitigation actions.
- Partner with QA leads and Tech Leads to ensure deliverables meet security, performance, and code quality standards.
- Track project budgets, resource allocations, and operational expenditure to ensure high ROI.

Qualifications & Skills Must-Have Requirements
- Experience: 6 to 10 years of experience managing software development projects in a fast-paced tech environment (SaaS, AI, Cloud, or IT Consulting).
- Agile Expertise: Hands-on experience with Agile, Scrum, Kanban, and hybrid delivery methodologies.
- Tooling Proficiency: Advanced mastery of project management and ticketing systems (e.g., Jira,



Confluence, Monday.com, ClickUp, Asana, Azure DevOps).
- Technical Background: Solid understanding of software architecture, APIs, cloud platforms (AWS/Azure/GCP), and the AI/ML product lifecycle.
- Communication: Exceptional verbal, written, and presentation skills with the ability to articulate technical concepts to non-technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field.

Nice-to-Have Requirements
- Certifications: PMP (Project Management Professional), PMI-ACP, CSM (Certified ScrumMaster), or SAFe certified.
- Experience managing projects involving Generative AI, LLMs, NLP, Data Pipelines, or MLOps.
- Prior software engineering, QA, or technical background before transitioning into Project Management.

Key Performance Indicators (KPIs)
- On-Time Delivery: Sprint completion rate and achievement of product roadmap milestones.
- Resource Optimization: Team velocity consistency, capacity management, and low sprint churn.
- Stakeholder Satisfaction: Strong CSAT scores and smooth client communication.
- Process Efficiency: Timely identification and resolution of project blockers and risks.

What We Offer
- Competitive salary and performance-driven bonus structure.
- Comprehensive health insurance and wellness benefits.
- Flexible working hours and remote/hybrid work options.
- Opportunity to work at the forefront of artificial intelligence and high-impact technology projects.
- Continuous learning opportunities and sponsorship for professional certifications.

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