The successful candidate will execute the overall product strategy autonomously, lead planning and prioritization, and ensure alignment with business goals. Collaboration with cross-functional teamsincluding Design, Business Intelligence, Engineering, and Sales is essential to bringing the product vision to life and ensuring its success.
Key Duties and Responsibilities
Product Vision and Strategy: Ability to define and articulate a clear product vision and strategy for AI search solutions. Experience with market analysis, competitive analysis, and identifying emerging trends in AI search technologies.
Customer Relationship Management: Build and maintain strong relationships with key customers to partner on new feature development and overall roadmap planning. Utilize customer feedback and insights to ensure the product meets user needs and expectations.
User-Centric Approach: Deep understanding of user needs and behavior, with a focus on creating intuitive and seamless search experiences. Experience with user research, usability testing, and user feedback integration.
UI/UX Design Collaboration: Ability to work closely with UI/UX designers to ensure that AI search functionalities are effectively integrated into the user interface and meet design standards. Conceptualize designs tailored to key sales personas (e.g., front-line sellers, rev ops) to enhance user experiences and drive product value.
Analytics and ROI: Proficiency in defining and tracking key performance indicators (KPIs) for AI search products, including user engagement, return on search, search accuracy, and customer satisfaction metrics. Apply data insights to shape product strategies, including market positioning and competitive differentiation.
Innovation: A proactive approach to exploring new technologies and methodologies to improve AI search functionality and stay ahead of industry trends.Search Information
Storage and Retrieval: Optimize strategies for effective search information storage and retrieval. Ensure that data management practices support efficient LLM-based search and retrieval processes, enhancing the overall effectiveness of AI search solutions.
Effective Communication: Communicate complex ideas clearly and effectively to executives and stakeholders. Present and demo product features externally to customer C-suite, analysts, and partners. Publish high-quality, customer-facing roadmaps.
Agile Implementation: Drive the strategic implementation of Agile principles within the team, fostering a culture of continuous improvement and collaboration to enhance product development processes.
דרישות:
Experience: Over 5 years in product management with a demonstrated track record in search for B2B or relevant B2C or B2B2C SaaS.User
Experience Expertise: Deep understanding of creating and optimizing frictionless user experiences.
Customer-Centric Approach: Proven ability to deliver exceptional experiences for both internal and external customers, treating their challenges and successes as your own.
Data-Driven Decision Making: Strong track record of driving measurable business outcomes using data insights, with proficiency in tools such as Amplitude. Experienced in A/B testing, analytics, user interviews, surveys, and usability testing.
Domain Expertise: Familiarity with industry-specific search needs and challenges, such as those in data saas: sales intelligence, e-commerce, enterprise software, or other sectors relevant to the companys focus.
Communication Skills: Ability to present complex AI concepts and product features in a clear and persuasive manner.
Engineering Collaboration: Enjoys working closely with engineering teams to develop and implement innovative solutions.
AI and Machine Learning Knowledge: In-depth understanding of AI, machine learning, natural language processing (NLP), and search algorithms. Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques is essential. Advantageou המשרה מיועדת לנשים ולגברים כאחד.
