What you'll do
Position Overview:
Responsibilities:
- Collaborate with Engineering, Design, and Data Science teams to translate requirements into actionable user stories and product specifications
- Serve as a subject matter expert on AI technologies and trends, providing guidance and thought leadership to internal teams and external stakeholders
- Evaluate and compare pre-built models and LLMs from other vendors to decide whether to integrate third-party solutions or build in-house models
- Drive the development of AI models and algorithms, working closely with data scientists and engineers to ensure high-quality and scalable solutions
- Lead the end-to-end product lifecycle from ideation to launch and beyond for AI use-cases
- Work closely with stakeholders to gather requirements, prioritize features, and align product roadmap with business objectives
- Define and track key performance metrics (KPIs) to measure product success and drive continuous improvement
- Work closely with sales, marketing, and customer success teams to ensure successful product launches and adoption
- Continuously monitor customer feedback and market dynamics to iterate on product features and enhance user experience
What you bring
Technical Expertise:
- Deep understanding of AI technologies, including Generative AI, LLMs, chatbots, deep learning, and related fields
- Experience in building, fine-tuning, and deploying AI models and algorithms
- Proficiency in evaluating third-party AI solutions and making informed build vs. buy decisions
- Familiarity with concepts and tools commonly used in AI development (e.g., Python, TensorFlow, PyTorch)
Product Management Skills:
- Proven experience in product management with a strong emphasis on AI-first products
- Ability to lead the end-to-end product lifecycle, from ideation to launch and beyond
- Strong focus on customer value and prioritizing the voice of the customer
- Excellent analytical and problem-solving skills, with a data-driven approach to decision-making
- Experience working with agile development methodologies and tools
Collaboration and Communication:
- Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
- Ability to work autonomously as a scrum PM with engineering and data science teammates across different regions
- Demonstrated ability to provide guidance and thought leadership to internal teams and external stakeholders
Adaptability and Continuous Learning:
- Ability to thrive in a dynamic, fast-paced, and rapidly changing environment
- Passion for innovation and continuous learning, with a willingness to dive in and pursue self-study in this space
Job Segment:Senior Product Manager, Product Manager, PLM, ERP, Operations, Marketing, Management, Technology