software product development jobs in noida up india

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Also, evangelize the platform across the organization. - Product Performance: Monitor product performance, analyze key metrics, and iterate on the product strategy to optimize customer satisfaction and business impact. - Industry Thought Leadership and Market Analysis: Keep tabs on industry trends, best practices, competitive information, and emerging technologies. - 7+ years of experience in product management, including a track record of at least 3 years in a people leadership capacity - Global Perspective: Experience working in a global, cross-functional environment. - Prioritization: Demonstrated ability to manage competing priorities with consistency and transparency, leveraging data as part of making decisions wherever possible. - Data Driven: Ability to be envision, collect and analyze data that helps reduce risk of what to build and how to build it and leads to customer success. - Technical Background: Solid technical acumen with the ability to collaborate effectively with engineering teams and understand complex technical requirements but also to break complex topics into simple terms for diverse audiences. - Strategic Thinker: Proven ability to think strategically, develop product strategies, and translate them into actionable plans. - Leadership Skills: Demonstrated leadership and team management skills, with the ability to inspire, motivate, and develop high-performing product teams and individuals who reach their potential. - Customer-Focused: Deep customer empathy with a passion for understanding customer needs and delivering exceptional user experiences. Experience working with both end customers and Engineering as a customer is a plus. - Strong Communication: Excellent verbal and written communication skills, with the ability to effectively present complex ideas and influence stakeholders at all levels of the organization. - Experience empowering internal engineering teams via a world-class developer experience platform that simplifies platform adoption. - Experience implementing service health monitoring, specifically SLIs and SLOs, and the programs that surround effective observability solutions In addition to the skills above, UKG places great importance on how work is done and values a culture of unity, kindness and growth. We seek candidates who embody these values and demonstrate the following behaviors: Unity: Collaboration and teamwork are essential at UKG. We value individuals who can work effectively with cross-functional teams, foster a spirit of cooperation, and build strong relationships to achieve shared goals. 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Represent GenAI and Analytics in cross-functional planning, executive updates, and stakeholder alignment. Champion a user-centric and ethically responsible approach to LLM-powered features. Align AI-powered product experiences with the underlying analytics infrastructure. GenAI & LLM Oversee the development of LLM-powered features (e.g., summarization, chat, intelligent insights). Guide prompt engineering strategies, evaluation frameworks, and RAG pipelines. Ensure robust infrastructure for safe, high-performance AI interactions. Monitor real-world performance and quality of generative experiences, driving continuous improvement. Analytics Platform Drive the roadmap for the analytics platform and reporting experiences, including dashboards and data exploration tools. Guide the evolution of our BigQuery architecture and data products to support scalability and cross-suite reporting. Collaborate with data engineering and architecture teams to ensure clean, performant, and accessible data for all personas. Align KPIs, dashboards, and self-service tools with both internal and customer-facing needs. Execution Support agile ceremonies across teams: planning, grooming, story definition, and backlog management. Translate customer feedback, usage data, and market trends into actionable priorities. Balance short-term delivery with long-term vision to ensure sustainable product development. Define and track success metrics across both GenAI and Analytics initiatives. 6-10 years of product management experience, including 2+ years in a leadership or mentoring role. Proven experience owning product strategy and execution in one or more of the following areas: Generative AI/LLMs, analytics platforms, or data products. Demonstrated success leading cross-functional initiatives across engineering, UX, and data science. Strong working knowledge of LLM concepts (prompting, embeddings, RAG, evaluation), preferably in production environments. Hands-on familiarity with cloud data platforms--BigQuery experience strongly preferred. Excellent communication skills, with the ability to distill complexity into clear direction for both executives and teams. Deep user empathy and a data-driven decision-making mindset. Bonus: Experience with vector databases, LangChain/LlamaIndex, dbt, or Looker. 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Experience in developing insights into effective end-to-end test scenarios. Strong analytical and problem-solving skills, especially around testing and validation. Excellent communication skills, with the ability to convey complex ideas simply. This role is an exciting opportunity to ensure that our products are not only innovative and technically sound but also deeply aligned with user needs and quality standards. 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Communicate complex concepts, anticipate objections, and influence adoption of viewpoints. Impact: Impact the achievement of area/group objectives. Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Deep expertise in one or more programming languages such as Python, Java, or JavaScript. Extensive experience with software architecture and design patterns, including the ability to design and implement scalable, reliable systems in a DevOps model. Proven track record of leading and delivering large-scale, complex software projects. Proficiency with cloud technologies like Azure, AWS, GCP, and version control systems like GitHub. Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality software solutions. Proficiency in building telemetry or observability as part of the development process. 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Technical Collaborator: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance. Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. Code Review: Diligent about reviewing code developed by other engineers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc. Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences. Platform Model: Understanding of working in a DevOps Model. 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Cross-Functional Collaboration: Partner with other engineering leaders, data scientists, product managers, and directors to align on strategic goals and deliverables. Collaborate closely with cross-functional teams to break down complex engineering tasks and drive the execution of the AI roadmap. Agile Leadership: Lead your team in an agile environment, participating in sprint planning, daily stand-ups, code reviews, and retrospectives. Help the team manage competing priorities while maintaining focus on delivering high-quality AI solutions. Technical Excellence: Promote best practices in software development, code quality, testing, and deployment. Drive the adoption of modern engineering practices like CI/CD, automated testing, and cloud-based AI/ML solutions to ensure the delivery of secure, scalable AI applications. Innovation: Stay up to date with the latest advancements in Generative AI and machine learning. 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Technical Leadership: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance. Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. 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