Product Manager (LLM)

The Product Manager (LLM) at Cytora is responsible for developing the product strategy and roadmap, conducting user and market research, gathering and prioritizing product requirements, and collaborating with engineering, data, and design teams throughout the product development lifecycle. This role is vital for ensuring that the AI-powered platform continues to meet user needs and stays competitive in the rapidly evolving landscape of LLM technology.

To excel as a Product Manager (LLM) at Cytora, candidates should possess a mix of technical confidence, experience in data science and engineering environments, and strong capabilities in user research and product strategy formulation. Proven skills in prioritizing features based on business value and the ability to communicate effectively with cross-functional teams are essential. A background in AI or LLM technologies will give you a competitive edge in this role.

The Product Manager (LLM) plays a crucial role in the product development process at Cytora by leading product strategy, facilitating user and market insights, and ensuring alignment between engineering and design teams. By prioritizing requirements and fostering collaboration, the Product Manager ensures that each product feature is well-defined and delivers maximum value upon launch.

A Product Manager (LLM) at Cytora may encounter challenges such as keeping pace with the fast-evolving landscape of LLM technologies, balancing user needs with technical feasibility, and negotiating feature scope with stakeholders. Adapting to the fast-paced nature of AI development while maintaining a user-centric approach to product management will be key to overcoming these obstacles.

Cytora offers an extensive benefits package for the Product Manager (LLM) role, including stock options, private health insurance (for UK residents), flexible working arrangements, and a 'work from anywhere' budget. Additionally, our commitment to learning and development ensures that you have resources at your disposal to excel in your role and further your professional journey.

As a Product Manager (LLM), I prioritize user research by employing both qualitative and quantitative methods, such as interviews and surveys, to gather insights into user needs. Analyzing this data enables me to identify pain points and opportunities, which I then translate into actionable product requirements.

In my previous role, I utilized a prioritization framework to assess features against business objectives, user impact, and technical feasibility. By facilitating discussions with stakeholders to weigh the benefits, I successfully prioritized a feature that aligned closely with user needs and market trends, resulting in a successful product launch.

To promote cross-functional collaboration, I establish clear communication channels and regularly convene meetings that include key stakeholders from engineering, data, and design. By creating an open environment where team members can voice concerns and generate ideas, I foster a sense of ownership and shared vision for the product.

I subscribe to industry newsletters, participate in online communities and forums focused on AI and LLMs, and attend conferences and meetups when possible. Continuous learning is crucial for a Product Manager, especially in a fast-evolving field like LLMs, and I actively seek out educational resources to stay informed.

My process begins with conducting user interviews and analyzing existing data to identify key requirements. I then prioritize these requirements based on business impact and user needs, and document them in a user story format, which helps align the team during the development cycle.

I approach conflicts by fostering open dialogue and encouraging team members to share their perspectives. I facilitate discussions to weigh the pros and cons of differing opinions, aiming to arrive at a consensus that aligns with our product goals and user needs.

Having collaborated closely with data science teams, I have found that understanding the technical capabilities of data models significantly informs product decisions. This experience allows me to channel user requirements accurately into technical specifications that drive efficient product development.

Key metrics I monitor include user engagement rates, feature adoption, NPS (Net Promoter Score), and conversion rates. By analyzing these metrics, I assess how well the product is performing compared to industry standards and identify areas for improvement.

I work closely with the engineering team to develop a clear timeline for each feature based on its complexity and required resources. Regular check-ins help ensure we stay on track, and I remain flexible to adapt our plans based on project needs and team input.

With my deep experience in product management, passion for AI technologies, and proven ability to collaborate across diverse teams, I am confident in my ability to contribute positively to Cytora. I'm eager to lead initiatives that drive innovation and efficiency in digital risk processing.