AI Product Manager
4 days ago
Key Responsibilities:
- Product Strategy & Vision: Define and communicate a clear product vision and strategy for AI-powered products aligned with business goals and customer needs. Identify market opportunities, define AI product requirements, and drive the roadmap.
- Cross-Functional Collaboration: Work closely with engineering, data science, design, marketing, and sales teams to ensure successful product development and go-to-market execution.
- Data-Driven Decision-Making: Leverage data, user feedback, and market research to guide product decisions. Analyze product performance metrics and iteratively improve the product.
- AI Model & Algorithm Understanding: Collaborate with AI/ML engineers and data scientists to ensure technical feasibility and alignment of the product with AI algorithms and machine learning models.
- Customer-Centric Focus: Gather and prioritize customer feedback and ensure the AI product delivers real-world value. Create user stories, feature specs, and user flows that translate customer needs into actionable product deliverables.
- Roadmap Management: Define and maintain a product roadmap balancing short-term priorities with long-term goals. Ensure timely and successful delivery of features through sprint planning and execution.
- Go-To-Market Strategy: Develop and execute product launch plans in collaboration with the marketing, sales, and customer success teams. Help position the product in the market and ensure it is well-received by users.
- Product Lifecycle: Manage the end-to-end product lifecycle from ideation through to launch and iteration, ensuring that the product meets user needs and business objectives.
- Stakeholder Management: Communicate product status updates and changes to senior leadership and other key stakeholders. Ensure alignment across teams and address any risks or issues proactively.
Requirements:
- Experience: 3 years of experience as a Product Manager with a proven track record of successfully managing and launching AI-driven products or features.
- AI/ML Knowledge: Strong understanding of AI/ML technologies including machine learning algorithms, natural language processing (NLP), computer vision, and other AI applications. Technical familiarity with AI concepts is a plus.
- Product Management Skills: Solid experience in product strategy, roadmap development, and managing product lifecycles. Ability to translate customer needs and business goals into actionable product plans.
- Data-Driven: Strong analytical skills and the ability to make data-driven decisions. Experience working with product analytics tools (e.g. Google Analytics, Mixpanel, etc.) to monitor product performance and iterate accordingly.
- Collaboration: Excellent collaboration skills to work with cross-functional teams including engineering, data science, UX/UI, marketing, and sales.
- Communication: Strong verbal and written communication skills. Experience creating product documentation, user stories, and presentations for both technical and non-technical stakeholders.
- User-Centric: Experience working in customer-centric environments with a focus on creating value-driven AI products that meet real-world user needs.
- Agile Methodology: Familiarity with Agile development practices (e.g. Scrum, Kanban) and experience working in an Agile environment.
Benefits: Competitive Salary
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