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Engaged Employer

Birdeye

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3.8

based on 146 Reviews

2 Birdeye Senior Product Manager Jobs

Senior Product Manager

Birdeye Australia

3.8

based on 146 Reviews

8-14 years

Gurgaon / Gurugram

1 vacancy

Senior Product Manager

Birdeye

posted 7mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Salesforce SEO Machine Learning Social Media Marketing Project Management

+ 4 more

Job Description

We seek a Senior Product Manager to lead our AI Chatbot initiatives. This role is pivotal in leveraging advanced AI technologies, including Generative AI (GenAI) and custom Large Language Models (LLMs), to create a state-of-the-art chatbot experience. The ideal candidate will have a strong blend of strategic thinking, analytical skills, and a deep understanding of AI- centric product development. This role will focus on integrating the latest AI models and technologies to enhance user engagement, deliver exceptional customer experiences, and drive business growth.

Product Strategy : Develop and execute a comprehensive product strategy that aligns with Birdeye s growth objectives.
Roadmap Development : Define and manage the product roadmap, prioritizing features and initiatives based on business impact and data analysis.
AI Integration : Collaborate with data scientists and engineers to integrate cutting-edge AI technologies, including Generative AI models and custom LLMs, into the chatbot, enhancing its capabilities and performance.
Cross-Functional Collaboration : Work closely with engineering, design, marketing, and sales teams to ensure seamless product development and launch.
Data analysis : Conduct user research and leverage data analytics to gain insights into user behavior and preferences.
Experimentation : Design and run A/B tests and other experiments to validate hypotheses and optimize chatbot performance.
Market Analysis : Stay informed about industry trends, competitive landscape, and emerging technologies to inform product decisions.
Metrics and Reporting : Define key performance indicators (KPIs) and regularly report on product performance, making data-driven recommendations for improvement.
Data Review : Review and provide feedback on annotated data to ensure the quality and accuracy of AI model training datasets.

What do we need?

Strategic Thinker : Ability to see the big picture and align product initiatives with business goals.
Analytical Mindset : Strong data analysis skills with the ability to interpret complex data sets and make informed decisions.
AI Expertise : Deep understanding of AI technologies, including Generative AI, custom LLMs, and natural language processing (NLP).
User-Centric : Deep empathy for users, with a passion for solving their problems and enhancing their experience.
Collaborative : Excellent communication and interpersonal skills, with a proven track record of working effectively in cross-functional teams.
Innovative : Creative problem solver who can think outside the box and drive innovation.
Results-Oriented : Strong focus on achieving measurable outcomes and driving continuous improvement.
Leadership : Ability to inspire and lead teams, fostering a culture of collaboration and high performance.

requirements

Bachelor s degree in a relevant field; MBA or advanced degree preferred.
8+ years of product management experience, with a focus on AI and chatbot technologies.
Proven track record of successfully managing and launching AI-driven products in a fast- paced environment.
Experience with A/B testing, user research, and data analytics tools.
Experience with project management and roadmap management tools.
Strong understanding of AI, including Generative AI models, custom LLMs, machine learning algorithms, NLP, and product-led growth principles and strategies.
AI Skill Sets and Technologies : Proficiency in natural language processing (NLP), machine learning algorithms, Generative AI models (e.g., GPT-4, Gemini), chatbot frameworks (e.g., Dialogflow, Rasa), and cloud services (e.g., AWS, Google Cloud). Ability to review and provide feedback on annotated data.

Employment Type: Full Time, Permanent

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