Product Manager

Job Title

Location

Introduction

Key Responsibilities:

AI Product Strategy and Roadmap:

• Define and drive the vision, strategy, and roadmap for AI-powered products, focusing on advanced models such as LLMs and other state-of-the-art AI technologies.
• Work closely with stakeholders to understand market needs, competitive landscape, and emerging trends to inform product development.

Cross-Functional Collaboration:

• Lead cross-functional teams, including engineering, design, and marketing, to ensure successful product development and delivery.
• Coordinate with technical teams to ensure alignment of product features with AI research advancements and capabilities.

Product Development & Lifecycle Management:

• Oversee the entire product lifecycle, from ideation and requirement gathering to launch and post-launch enhancements.
• Ensure AI models are integrated effectively into the product with a focus on performance, scalability, and user experience.

AI Knowledge & Technical Expertise:

• Leverage deep knowledge of AI technologies, including LLMs, NLP, and other machine learning models, to create innovative solutions.
• Stay current with developments in AI, including advancements in large-scale language models, deep learning, and emerging AI trends.

Customer & Market Insights:

• Gather feedback from users and stakeholders to continuously improve product features and functionalities.
• Conduct market research to understand customer pain points and how AI can address challenges within the eDiscovery, cybersecurity, and forensics sectors.

eDiscovery, Cybersecurity, and Forensics Expertise (Added Advantage):

• Leverage knowledge of eDiscovery, cybersecurity, and forensics to develop AI solutions that cater to these specialized industries.
• Work with subject matter experts in these fields to ensure product features meet industry standards and compliance requirements.

Metrics and Performance Tracking:

• Define and track key performance indicators (KPIs) to measure product success and ensure continuous improvement.
• Use data-driven insights to refine product features and optimize user satisfaction.

Required Qualifications:

• Minimum of 4 years of experience in AI product management or a related role.
• Strong understanding of AI technologies, particularly LLMs, NLP, deep learning, and other machine learning models.
• Proven track record of managing AI-driven products from concept to launch.
• Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Strong problem-solving skills and ability to navigate complex challenges.
• Experience in agile product development methodologies.
• Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.

Preferred Qualifications:

• Experience in the eDiscovery, cybersecurity, or forensics industry.
• Knowledge of AI applications in legal tech, security, and digital forensics.
• Advanced degree in AI, Computer Science, Data Science, or a related field.