Senior PM

Key Responsibilities

• Own end-to-end project delivery for AI and technology initiatives, from requirements gathering and planning through execution, launch, and post-production improvements.
• Define project scope, objectives, milestones, timelines, dependencies, deliverables, and resource requirements.
• Collaborate with AI/ML engineers, data scientists, product managers, developers, designers, and business stakeholders to drive project execution.
• Develop and maintain detailed project plans, sprint schedules, roadmaps, and delivery trackers.
• Manage cross-functional teams and ensure clear ownership of tasks, deliverables, and deadlines.
• Understand AI project lifecycles, including data preparation, model development, experimentation, evaluation, deployment, monitoring, and iteration.
• Work with technical teams to track AI model development, API integrations, data pipelines, automation workflows, and Generative AI applications.
• Identify project risks, technical dependencies, resource constraints, and delivery bottlenecks, and proactively develop mitigation plans.
• Facilitate regular project reviews, stand-ups, sprint planning, retrospectives, and stakeholder updates.
• Translate complex technical concepts and AI capabilities into clear business requirements and actionable project plans.
• Coordinate with stakeholders to prioritize requirements and manage scope changes throughout the project lifecycle.
• Track project performance against timelines, budgets, quality expectations, and agreed business outcomes.
• Establish effective communication channels and provide regular progress reports to senior leadership.
• Support product teams in defining measurable success metrics and evaluating the impact of AI initiatives.
• Ensure appropriate documentation of requirements, decisions, processes, technical dependencies, and project outcomes.
• Drive continuous improvement in project execution methodologies, processes, and team collaboration.

Must-Have Skills

• 4–7 years of experience in project/program management, preferably in technology, SaaS, software, or AI-driven environments.
• Strong understanding of AI/ML concepts and AI product development lifecycles.
• Hands-on experience managing AI, Generative AI, automation, data, or machine-learning projects.
• Strong project planning, execution, prioritization, and delivery management skills.
• Experience working with cross-functional technical and business teams.
• Excellent stakeholder management and communication skills.
• Strong understanding of Agile/Scrum methodologies and project management tools.
• Ability to manage multiple projects, competing priorities, risks, and dependencies simultaneously.
• Strong analytical and problem-solving abilities.
• Ability to communicate effectively with both technical and non-technical stakeholders.

Good-to-Have Skills

• Experience with Generative AI, LLMs, NLP, computer vision, AI agents, or RAG-based applications.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Exposure to tools such as Jira, Confluence, Notion, Asana, or similar project management platforms.
• Understanding of APIs, data pipelines, model evaluation, and AI deployment workflows.
• PMP, Scrum Master, Agile, or equivalent project management certification.