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Oraczen - AI Product Manager

5 - 8 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title : AI Product Manager Location : Hyderabad (Hybrid) About Us Oraczen is a leader in Generative AI, dedicated to developing innovative AI-driven solutions that transform industries. Our team thrives on data-driven decision-making, collaboration, and technological excellence. We are committed to building intelligent systems that leverage cutting-edge AI technologies to solve real-world challenges and drive business growth. Role Overview We are seeking an experienced Product Manager with five to eight years of experience to define and execute AI-driven product strategies. In this role, you will be responsible for shaping the vision and roadmap for AI-powered solutions, working closely with AI/ML teams, engineers, and designers to bring innovative products to life. Your ability to translate market insights and customer needs into actionable AI-driven features will be instrumental in driving product success and business impact. Key Responsibilities Product Strategy and Vision : Conduct market research, competitive analysis, and user feedback to shape AI-powered offerings. Identify customer pain points and leverage AI to create differentiated solutions. Cross-Functional Collaboration Work closely with AI/ML engineers, data scientists, and software developers to bring AI-driven features to life. Partner with sales, marketing, and customer success teams to define go-to-market strategies. Translate technical AI/ML capabilities into real-world business applications that drive adoption. Product Execution And Delivery Own the end-to-end product lifecycle from ideation to launch and continuous iteration. Define clear product requirements, user stories, and acceptance criteria. Prioritize backlog, ensuring efficient sprints and timely releases in an agile environment. Continuously analyze key performance indicators and user feedback to optimize product features. AI-Driven Insights And Data-Backed Decisions Leverage data analytics and AI-driven insights to refine product strategy. Implement A/B testing and user research to validate AI model performance. Ensure AI products deliver measurable impact with real-world use cases. Qualifications And Skills Bachelors or Masters degree in Computer Science, Artificial Intelligence, Business, or a related field. 5 8 years of experience in product management, preferably in an AI/ML or SaaS-driven environment. Basic knowledge of AI/ML concepts, model deployment, and AI ethics. Hands-on experience with Agile/Scrum methodologies. Ability to work with engineering teams, AI/ML frameworks, and cloud platforms such as AWS, Azure, or Google Cloud. Experience with data-driven decision-making and analytics tools such as SQL, Tableau, Amplitude, or Mixpanel. Strong communication skills with the ability to translate AI complexities into business value for non-technical teams. Experience working with executives, engineers, and customers to drive product success. Ability to navigate uncertainty and fast-paced startup challenges with a problem-solving mindset. Why Join Us? Play a critical role in shaping AI-powered innovations that address real-world problems. Be part of a fast-paced, impact-driven AI startup that values agility and innovation. Work in a data and AI-first environment where decisions are driven by insights. Collaborate with top AI researchers, data scientists, and engineers. Access professional development opportunities, including conferences, certifications, and mentorship programs. Belonging At Oraczen Were building more than just innovative technologywere building a culture where people from all backgrounds feel welcomed, valued, and empowered to thrive. Our strength lies in the diversity of our perspectives and experiences, and we are committed to cultivating an inclusive environment where everyone can do their best work. We evaluate applicants based on talent and potential, not background or identity. We welcome candidates of all races, ethnicities, genders, orientations, abilities, and experiences. (ref:hirist.tech) Show more Show less

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