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Job Description
- Product strategy and vision: Define and communicate product vision, value proposition, and roadmap aligned with SIA priorities, client needs, and market opportunities
- Discovery and problem definition: Lead discovery with internal users and client stakeholders, document pain points and workflows, and translate them into clear problems to solve
- Market and competitive analysis: Monitor AI trends and competitor offerings to identify differentiation opportunities and risks
- Requirements and backlog ownership: Create clear requirements, user stories, and acceptance criteria, and maintain a delivery ready backlog
- Prioritization and trade-offs: Prioritize by customer value, impact, feasibility, risk, cost, and return on investment, and communicate decisions transparently
- Cross functional leadership: Align engineering, data science, architecture, security, design, and delivery teams to drive execution without direct authority
- AI solution delivery: Define AI feature requirements and evaluation approach, and partner with engineering and MLOps for integration, deployment readiness, monitoring, and iteration
- Security, compliance, and responsible AI: Ensure solutions meet enterprise expectations for privacy, security, and regulatory needs, and implement responsible AI guardrails such as evaluation standards, auditability, and human review where appropriate
- Stakeholder communication: Provide clear updates on status, scope, risks, dependencies, and release plans to SIA leadership and client stakeholders
- Metrics and optimization: Define KPIs and OKRs, measure adoption and business impact, analyze usage and performance data, and adjust roadmap based on insights
- Launch and adoption enablement: Partner with sales, marketing, customer success, and delivery teams on release planning, training, onboarding, and adoption strategies
- Agile execution: Lead product ceremonies such as sprint planning and backlog refinement, and partner with delivery leadership to ensure predictable outcomes and high qualityQualifications
- Education: Bachelor s degree in computer science, Engineering, Data Science, or a related field, or equivalent experience
- Experience: 4 or more years in product management for enterprise or B2B software, with hands on exposure to AI enabled or data intensive products
- Experience working with multiple stakeholders in client and delivery environments is preferred
- Certifications such as CSPO, PSPO, PMI ACP, or PMP are a plus
Skills:- Product management: Strong discovery, prioritization, product writing, and roadmap management skills
- Technical fluency: Comfortable discussing system architecture, APIs, data pipelines, and technical trade-offs with engineering and data teams
- AI literacy: Strong understanding of generative AI and machine learning concepts and practical constraints such as quality, safety, latency, and cost
- Communication and leadership: Strong ability to influence and align technical and non-technical stakeholders, including senior executives and clients
- Analytical problem solving: Ability to use data to drive decisions and evaluate product and model performance
- Execution: Demonstrated ability to manage competing priorities and deliver outcomes under tight timelines
Skills
Product ManagementComputer ScienceSystem ArchitectureAutomationPMPCompetitive AnalysisAnalyticalMachine LearningAgileProduct ManagementProduct StrategyCompetitive AnalysisPrioritizationProduct LifecycleUser StoriesProduct ManagerProduct OwnerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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