AI Product Manager

Company Description

Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo is a technology company focused on empowering Indian travelers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travelers in making smarter travel decisions by leveraging artificial intelligence, machine learning and data science-led innovations on ixigo’s OTA platforms, including websites and mobile applications.

ConfirmTkt and AbhiBus became a part of ixigo in 2021. ixigo is headquartered in Gurugram with offices in Bangalore (ConfirmTkt) and Hyderabad (AbhiBus). The ixigo, ConfirmTkt and AbhiBus apps allow travellers to book train tickets, flight tickets, bus tickets, hotels, cabs and provide travel utility tools and services developed using in-house proprietary algorithms and crowd- sourced information. In 2022, as per data.ai, ixigo was featured in the Top 10 most downloaded travel apps worldwide

As an AI Product Manager at ixigo, you will be at the forefront of travel tech innovation. You will drive the vision and roadmap for our AI-powered products, collaborating closely with world-class tech, design, data science, and business teams. Your mission is to identify and solve unique travel-specific challenges using the latest advancements in Artificial Intelligence. You will be responsible for building, launching, and scaling intelligent products that not only foster user engagement and retention but also redefine the travel experience and win customer love!

Roles & Responsibilities:

• AI Product Vision and Strategy:

  Develop and execute a comprehensive product vision and roadmap focused on leveraging AI to solve core customer problems. Conduct in-depth market research to stay ahead of the latest developments in the AI space and identify opportunities for innovation in travel.

• Problem Definition & Ideation:

  Define clear, travel-specific problem statements that can be effectively solved using AI/ML. Continuously explore new opportunities for product innovation, organizing brainstorming sessions and customer research to generate and validate new ideas.

• Product Development & Execution:

  Lead and coordinate the development of AI products, ensuring timely delivery of features and enhancements. Work closely with engineering, machine learning, data science, and design teams to define product requirements, iterate on models, and optimize the user experience for AI-driven features.

• Data-Driven Decision Making:

  Utilize data analytics to track AI product performance, define and monitor key success metrics (including model accuracy, user trust, and task success rates), and make informed decisions. Analyze user behavior and market trends to uncover opportunities for growth and optimization.

• Full Ownership:

  Take complete ownership of the AI product lifecycle, from initial concept and data gathering to model training, launch, and continuous improvement.

• Quality & Ethics:

  Be the gatekeeper for a high-quality customer experience, ensuring product reliability and performance. Champion ethical AI practices and ensure fairness, transparency, and accountability in all AI-powered products.

• Stakeholder Management:

  Effectively communicate the AI product vision, progress, and outcomes to all stakeholders, including executive leadership, engineering teams, and external partners.

Qualifications

• 3-5 years of experience in product management,

  with a proven track record of delivering successful products, preferably in the AI/ML space.
• A deep understanding of the latest developments in the AI landscape, including

  LLMs, NLP, and machine learning concepts.

• Strong ability to identify consumer needs and translate them into well-defined, data-rich problem statements for AI solutions.
• Exceptional analytical skills and a demonstrated ability to leverage data to inform decision-making and measure the impact of AI models.
• Excellent communication and interpersonal skills, with the ability to build relationships and influence stakeholders at all levels.
• Technical proficiency, including familiarity with design tools (e.g., Figma) and analytics tools (e.g., Google Analytics, Clevertap). An engineering or data science background is preferred but not necessary.

Additional Information

• Hands-on experience with A/B testing and experimentation, particularly for AI-driven features.
• Ability to thrive in a fast-paced, informal startup environment and provide hands-on management.
• A high energy level and an untiring commitment to drive yourself and the team toward ambitious goals.