Location: Surat
Experience: 3 to 4 Years
Employment Type: Full-Time
We are looking for a Project Manager with strong AI/technology expertise who can manage end-to-end software projects while working closely with development, QA, UI/UX, and business teams.
The ideal candidate should understand AI, APIs, automation, and modern software development workflows, and should be able to translate business requirements into clear technical execution plans.
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Manage projects from planning to delivery and post-launch support
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Define project scope, timelines, milestones, deliverables, and priorities
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Manage and coordinate SaaS/software development projects
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Coordinate with Developers, QA, UI/UX, AI/ML, and business teams
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Track project progress, dependencies, risks, and resource allocation
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Communicate effectively with clients and internal stakeholders
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Identify bottlenecks and proactively drive projects toward completion
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Understand and manage AI-based features, integrations, and workflows
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Work with technical teams on AI APIs, LLMs, automation, data workflows, and AI-powered SaaS solutions
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Ensure projects meet quality, timeline, and business objectives
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Conduct regular project reviews and maintain project documentation
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Manage multiple projects and priorities simultaneously
3–4 years of experience in Project Management / Software Project Management-
Good understanding of SaaS product development and lifecycle
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Experience managing web/mobile/SaaS/software projects
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Strong understanding of SDLC and Agile/Scrum methodologies
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Excellent communication, coordination, and problem-solving skills
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Strong documentation and project tracking skills
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Ability to work with technical teams and understand technical discussions
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Hands-on exposure to AI-based projects or AI integrations is highly preferred
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Experience with tools such as Jira, ClickUp, Trello, Asana, or similar
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Ability to manage deadlines, priorities, and multiple stakeholders
Project Management + Technical Understanding + AI Expertise
We're looking for someone who doesn't just track tasks, but can understand the technology behind the project, challenge assumptions, identify risks, and help the team successfully deliver AI-powered software solutions.
