Senior Product Manager

Job Description :

- Taglynk is a premier executive search firm dedicated to connecting world-class talent with transformative opportunities in the tech landscape.

- We are currently representing a high-growth platform that is revolutionizing how organizations manage complex workflows and strategic objectives.

- Our partner believes that cutting-edge technology should be accessible and inclusive, empowering teams of all sizes - from startups to large enterprises - to reach their full potential.

- We are seeking a visionary Senior Product Manager to lead their AI initiatives and help democratize advanced technology across the industry.

Core Responsibilities :

- Product Ownership and Development : Collaborate with cross-functional teams, including business, engineering, and research, to develop and execute product roadmaps that align with strategic objectives.

- Roadmap Strategy : Provide critical input, alongside the Portfolio Manager, to build and refine comprehensive product roadmaps.

- Technical Collaboration : Work closely with data scientists, IT, and designers to ensure the development of robust AI solutions.

- Quality & Risk Management : Maintain technical rigor and introduce new methods for verifying product success and identifying potential risks.

- Data-Driven Decision Making : Utilize data analytics to measure product performance and make informed decisions.

- KPI Management : Define and monitor key metrics and KPIs to ensure the measurable success and impact of all AI initiatives.

What You Will Bring :

- Experience : 5+ years of product management experience, specifically focused on enterprise software or SaaS products.

- AI Expertise : Demonstrated experience in enterprise AI workload management, AI infrastructure management, LLMOps, or related GenAI technologies.

- Technical Depth : A strong understanding of AI/ML use cases, including model training, fine-tuning, inferencing, RAG, and agentic AI workloads.

- Specialized Knowledge : Proven experience working with machine learning, data science, and analytics-driven products.

- Communication : Excellent communication and presentation skills, with a proven ability to influence cross-functional stakeholders.

- Education : A bachelor's degree in Computer Science, Engineering, or a related technical field.