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Product Manager
2 months ago
Job Title: Product Owner/Manager
Location : Noida/Chandigarh (highly preferred), Open to other TM locations
Role Type : Permanent
Role Overview :
The Product Owner/Lead is responsible for defining and executing the vision and direction of the pod's projects, ensuring alignment with strategic objectives and stakeholder needs. This role involves close collaboration with cross-functional teams to deliver high-impact solutions that meet specific objectives related to UX enhancement, POC development, or customizing existing solutions for customer demos. The Product Owner/Lead should have a strong background in AI/ML, proficiency in both backend and frontend technologies, and a deep understanding of Agile methodologies, project management, stakeholder management, and strategic planning.
Common Responsibilities Across All Pods:
Vision and Roadmap Development :
Define the product vision and roadmap that aligns with business objectives and stakeholder expectations.
Continuously refine and prioritize the product backlog based on changing requirements and feedback.
Stakeholder Collaboration and Management :
Work with stakeholders to gather and prioritize requirements, particularly focusing on incorporating AI/ML capabilities.
Communicate effectively with stakeholders to manage expectations and ensure alignment with project goals.
Agile Process Implementation :
Oversee Agile processes, including sprint planning, stand-ups, reviews, and retrospectives.
Facilitate team collaboration using tools like Jira, Confluence, Slack, and Git.
Team Alignment and Focus :
Keep the team focused on deliverables and aligned with product objectives, especially when integrating AI/ML solutions.
Remove obstacles and resolve conflicts to maintain project momentum.
Innovation and Continuous Improvement :
Encourage a culture of innovation, particularly in AI/ML and emerging technologies.
Organize training sessions on relevant new technologies, tools, and methodologies.
Communication and Reporting :
Maintain transparent communication within the team and with stakeholders.
Provide regular updates on project progress, risks, and performance metrics.
Pod-Specific Job Descriptions
Pod A: Product Owner/Lead - UX and Design Enhancement
Focus : Improve the overall UX for large deals defense and offering development by creating microsites and leveraging Figma, Adobe XD and other tools for visual storytelling and prototyping.
Responsibilities :
Lead the development of microsites and UX enhancements for defense decks.
Collaborate with UI/UX designers & front-end developers to create engaging, user-friendly interfaces.
Leverage tools like Figma for rapid prototyping and design iteration.
Integrate AI-driven personalization and user analytics to enhance user experience and engagement.
Ensure all design solutions align with the latest UX/UI best practices, accessibility standards, and AI-enhanced UX methodologies.
Conducted comprehensive analysis to identify gaps, leading to the adoption of new features
Conducting monthly UX workshops and training sessions for team members.
Success Metrics :
User Feedback : Positive feedback from stakeholders and end-users regarding UX improvements and AI-driven features.
Design Quality : Number of design iterations and final deliverable quality.
Adoption Rate : Rate of adoption and usage of new AI-enhanced UX designs and microsites.
Pod B: Product Owner/Lead – Bespoke POC/Demo Development
Focus : Develop bespoke POCs and demos from the ground up for offering development and ongoing large deal submissions to increase our win rates.
Responsibilities :
Lead and manage the full lifecycle development of Proofs of Concept (POCs) and demos from initial concept to final delivery, incorporating AI/ML models to enhance functionality.
Collaborate with technical teams to define technical requirements, solution architecture, and AI/ML integration strategies.
Ensure POCs and demos are innovative, scalable, AI-enhanced, and align with business needs and technology trends to help increase win rates of large deals and improved funnel for multi-tower offerings being developed.
Key Deliverables :
Innovative POCs and demos that showcase new AI/ML-enhanced offerings and solutions to help increase win rates of large deals.
Scalable and technically sound prototypes that demonstrate feasibility, AI integration, and business value.
Comprehensive documentation, including AI/ML model documentation and user guides for POCs and demos.
KRAs :
Innovation and Feasibility : Quality and innovation of AI-enhanced POCs and demos delivered.
Technical Excellence : Adherence to technical standards, AI/ML best practices, and innovative approaches.
Stakeholder Engagement : Level of stakeholder engagement and satisfaction with AI-enhanced demos and POCs.
Success Metrics :
Innovation Index : Number of new AI technologies and innovative features successfully integrated into POCs.
Technical Robustness : Stability, performance metrics, and effectiveness of AI models in demos and POCs.
Stakeholder Approval : Feedback from stakeholders on the relevance and impact of AI-enhanced POCs.
Pod C: Product Owner/Lead - Customized Demo Development
Focus : Customize demos for specific solutions (Cloud BlazeTech, Netops.AI, etc.) for large deals in collaboration with various Service Lines.
Responsibilities :
Lead the development of demos by customizing existing solutions (Cloud BlazeTech, Netops.AI, etc.) with AI/ML enhancements tailored to specific large deals requirements.
Work closely with service lines to understand their offerings, including AI capabilities, and integrate them into demos.
Ensure demos are compelling, customer-focused, highlight the unique value propositions of each service line, and leverage AI/ML for enhanced decision-making and automation.
Coordinate with deal directors and EA teams to ensure demos align with strategic goals and customer needs for large deals.
Key Deliverables :
Customized, high-impact demos that effectively showcase the capabilities of specific service lines, enriched with AI/ML features.
Successful integration of multiple service offerings and AI models into cohesive, customer-centric demos.
Detailed demo scripts, AI model documentation, and supporting materials for sales and marketing teams.
KRAs :
Customization and Relevance : Level of customization and AI/ML relevance of demos to specific SST deals.
Collaboration and Integration : Effectiveness of collaboration with various service lines and integration of their offerings and AI capabilities.
Enhancing Win Rates : Success in supporting large deals efforts through impactful, AI-enhanced demos, thereby increasing win rates.
Success Metrics :
Stakeholder Satisfaction : Feedback from service lines and sales teams on demo quality, AI integration, and effectiveness.
Demo Utilization : Frequency and context of demo usage in sales and marketing efforts, including the impact of AI/ML features.
