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▷ Only 24h Left : Product Manager - AI Solutions

▷ Only 24h Left : Product Manager - AI Solutions

Tipstat®India
22 hours ago
Job description

Tipstat is at the forefront of technological innovation, building industry-leading solutions powered by artificial intelligence (AI) and workflow automation. We are seeking a dedicated and forward-thinking Product Manager with a strong computer science background and deep familiarity with AI (including large language models), workflow automation, and the end-to-end product life cycle. If you’re passionate about shaping the future of AI-driven products and have a talent for technical oversight and effort estimation, we want you on our team.

RESPONSIBILITIES

Product Strategy & Roadmap

  • Define product vision, strategy, and goals for AI-powered solutions, ensuring alignment with the company’s overall objectives.
  • Drive product roadmapping efforts, establishing clear timelines and priorities that account for evolving market needs and emerging AI technologies.

AI & Automation Expertise

  • Leverage knowledge of AI, including large language models (LLMs), to ideate and evaluate product concepts.
  • Collaborate with AI scientists, engineers, and data scientists to design and implement state-of-the-art solutions (e.g., NLP, computer vision, recommendation engines).
  • Integrate workflow automation tools to enhance product functionality, streamline processes, and improve efficiency.

    • Cross-Functional Collaboration

  • Work closely with engineering, design, and business stakeholders to translate requirements into detailed product specifications and user stories.
  • Foster a culture of collaboration and innovation, ensuring high-quality outputs that reflect engineering feasibility and user insights.

    • Effort Estimation & Prioritization

  • Use strong technical acumen and familiarity with AI development cycles to accurately scope and estimate level of effort for product features.
  • Develop and maintain detailed project plans, anticipating risks and resource requirements early in the development process.

    • User-Centric Development

  • Engage with customers and internal stakeholders to gather feedback on prototypes and existing solutions.
  • Continuously refine product requirements to meet user needs, enhance value delivery, and drive product adoption.

    • Market & Competitive Analysis

  • Monitor competitive landscape, emerging AI trends, and new technologies to inform product decisions and maintain market leadership.
  • Identify new use cases and growth opportunities for AI-driven capabilities within various industries.

    • Performance Measurement

  • Define and track key performance indicators (KPIs) to evaluate product success, including adoption rates, ROI, and customer satisfaction.
  • Develop data-driven recommendations and action plans for iteration and improvement.

    • QUALIFICATIONS

    Educational Background

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. Equivalent practical experience will also be considered.

    • Technical Experience

  • Demonstrated understanding of AI technologies (e.g., machine learning, deep learning, large language models).
  • Experience working with workflow automation tools and frameworks.
  • Ability to collaborate with engineering teams and effectively communicate technical concepts to both technical and non-technical stakeholders.

    • Product Management Experience

  • 3+ years of product management experience, ideally with AI, ML, or data-focused products.
  • Track record of delivering successful products in agile environments.
  • Proven ability to scope, estimate, and prioritize product features based on technical complexity and business impact.

    • Analytical & Communication Skills

  • Excellent problem-solving capabilities with a strong data-driven mindset.
  • Outstanding communication and presentation skills, capable of influencing cross-functional teams and senior leadership.

    • Leadership & Stakeholder Management

  • Ability to manage multiple initiatives and stakeholders in a fast-paced environment.
  • Demonstrated initiative in driving projects forward proactively with minimal supervision.

    • PREFERRED QUALIFICATIONS

  • Experience with cloud platforms (AWS, Azure, Google Cloud) for AI and ML model deployment.
  • Knowledge of MLOps best practices, including version control, CI / CD pipelines, and model monitoring.
  • Familiarity with data visualization tools and analytics platforms for product insights.
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    Product Manager • India

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