Senior Product Manager T500-13619 Talent500
Talent500
Office Location
Full Time
Experience: 6 - 6 years required
Pay:
Salary Information not included
Type: Full Time
Location: Karnataka
Skills: Product Management, Strategy Creation, Machine Learning, User Interface Design, CustomerFocused Solutioning, Crossfunctional Leadership, Customer Datacentric Products, Ai Solutions, Omnichannel Retail Environment, Google Cloud Platform services, ML Product Design, ML Engineer, ML Scientist, Software Engineer
About Talent500
Job Description
Key Responsibilities Craft vision for complex or multiple product(s) independently Participate in crafting long-term vision with guidance Mastery in translating business needs into customer goals and features Mastery in both crafting strategy and overall execution for a product or multiple products Deliver against core customer value propositions and strategic and financial goals Demonstrate empathy for the customer, and steer discussions to how to build customer trust Highlight system constraints (resource, financial, technology) to leadership that prevent creation of long-term customer engagement and brand love Demonstrate the test / learn / iterate mindset Lead teams to innovate and transform by embracing new ways of working Demonstrate an innovative mindset and find ways to push through adversity Analyze product performance through qualitative and quantitative analysis tools and processes Basic Qualifications Bachelor's degree in IT, Computer Science, Engineering, Business, Marketing or related field OR equivalent experience. 6+ years of Product Management experience, OR experience working with development, User experience, Strategy, or related. Including: 2+ years of experience with direct people management and team management 1+ year of relevant experience in strategy creation, customer-focused solutioning, cross-functional leadership, or related Extensive experience with customer data-centric products either in product management and/or an engineering role Experience in collaborating with cross-functional teams in a global and diverse environment. Experience with Machine Learning and/or AI Solutions Preferred Qualifications Experience working in an omni-channel retail environment Experience connecting technical issues with business performance metrics Knowledge of user interface design principles and validation techniques. Certification in Google Cloud Platform services Experience leading ML product design and development over GCP or AWS Hands on experience as an ML Engineer, ML Scientist or Software Engineer during early part of the career,