微软Senior Product Manager--ODSP Team
任职要求
Required Qualifications:
• Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development• OR equivalent experience.
• Demonstrated ability to lead cross-functional teams and drive product strategy across engineering, design, and marketing.
• Fluent in English written and oral communication skills.
Preferred Qualifications:
• Bachelor’s Degree AND 7+ years of experience in product/service/project/program management or software development• OR equivalent experience.
• Solid analytical, communication, and presentation skills, with experience translating customer insights and usage data into actionable product decisions.
• Familiarity with AI LLM technologies and a passion for becoming an AI-native PM—leveraging AI tools and agents to enhance product development and decision-making.
• Proven track record of shipping enterprise or consumer software…工作职责
• Drive business impact across multiple feature areas by defining success metrics, identifying long-term investment opportunities, and aligning with Microsoft’s AI strategy. • Own the roadmap for intelligent collaboration experiences, including Copilot integrations, and lead scenario walkthroughs and golden configuration development with partner teams. • Define and deliver feature sets that balance AI innovation with fundamentals like sync reliability, performance, and accessibility; facilitate usability reviews with customers and stakeholders. • Leverage AI tools and agents to accelerate product development workflows, improve decision-making, and model best practices as an AI-native PM. • Partner with engineering, design, and marketing to build and launch features at scale, including rollout plans, customer support strategies, and internal enablement. • Engage with customer communities, MVPs, and enterprise stakeholders to build trust, gather feedback, and identify opportunities for deprecation or iteration. • Collect performance metrics and form hypotheses to improve product quality and relevance, especially in areas with complex technical or compliance requirements.
i) managing 2 product lines- full life cycle; ii) localisation of use cases of existing solutions,; iii) analysis of product-market fit- per vertical,; iv) developing new product collateral and value propositions; v) development of Arabic interfaces and wireframes; vi) PRD/ BRD documentation, vii) involvement in partner enablement and selected sales engagements for standard product.
1. Product Management of core products 2. Develop value propositions/ functional features/ 3. Devise product collateral and manuals 4. Manage product inlife and new requirements 5. Monitor product issues and PRD changes
Product Strategy & Development • Lead the development of AI-driven product strategies to drive NBS AI penetration • Identify growth opportunities across seller segments and lifecycle stages • Design and implement AI solutions that enhance seller success metrics and operational efficiency • Drive efficiency and productivity of seller recruitment, account management or go-to-market activities • Lead continuous product optimization based on user feedback Technical Leadership • Partner with data science and engineering teams to develop and implement AI/ML solutions • Define clear technical requirements and success metrics for AI-powered features • Oversee development cycles and ensure successful deployment of solutions • Drive data-informed decision making across product initiatives Stakeholder Management • Lead cross-functional collaboration between central product and program management teams, technical teams, business stakeholders, and external partners • Drive effective communication of product strategy, roadmap, and impact analysis to leadership • Manage change initiatives and stakeholder alignment across CN team and MP teams
Product Strategy & Development • Lead the development of AI-driven product strategies to drive NBS AI penetration • Identify growth opportunities across seller segments and lifecycle stages • Design and implement AI solutions that enhance seller success metrics and operational efficiency • Drive efficiency and productivity of seller recruitment, account management or go-to-market activities • Lead continuous product optimization based on user feedback Technical Leadership • Partner with data science and engineering teams to develop and implement AI/ML solutions • Define clear technical requirements and success metrics for AI-powered features • Oversee development cycles and ensure successful deployment of solutions • Drive data-informed decision making across product initiatives Stakeholder Management • Lead cross-functional collaboration between central product and program management teams, technical teams, business stakeholders, and external partners • Drive effective communication of product strategy, roadmap, and impact analysis to leadership • Manage change initiatives and stakeholder alignment across CN team and MP teams