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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular PM title, 3+ years mid-level requirement, and broad technical/AI skills increase competition.
Product skills are transferable but required AI and multi-domain compliance experience increase domain specificity.
Mandatory 3+ years, technical SDLC and AI experience, and cross-functional delivery make filtering strict.
Job Description
Structured overview of role & requirementsAbout This Role
Define and manage project scope, timelines, budgets, and success metrics for AI/ML and software projects across diverse domains.
Lead cross-functional teams (design, development, QA, DevOps) ensuring alignment and on-time delivery of technical projects, including AI integrations.
Manage stakeholders, vendors, risk, change control, and project documentation using tools such as JIRA or Azure DevOps.
Minimum Requirements
3+ years as a Product Manager delivering complex technology or software projects on time and within budget.
Experience leading cross-functional teams with knowledge of Agile and Waterfall methodologies and tools like JIRA, Azure DevOps, Trello, or Asana.
Strong technical understanding of SDLC, system architecture (APIs, microservices), cloud platforms (AWS/Azure/GCP), and CI/CD.
Practical exposure to AI/ML or Generative AI projects and understanding of AI lifecycle and associated risks.
Ideal Candidate Profile
Experienced in managing AI-driven projects and comfortable engaging in technical discussions across SDLC and AI lifecycle stages.
Proven ability to quickly grasp multiple industry domains (e.g., FinTech, Healthcare, E-commerce) and translate compliance into project deliverables.
Skilled in risk, change, and vendor management with experience working in structured, client-facing environments using modern project management tools.