Product Manager (AI), Lens

The Product Manager (AI) at Lens is responsible for defining the product vision and roadmap for a new AI-focused developer tool, conducting user and market research, prioritizing features, and overseeing product launches. This role is crucial to the strategy of shaping AI/ML developer tools at Mirantis, ensuring that user experience and satisfaction are at the forefront.

Candidates for the Product Manager (AI) position at Mirantis should have at least 3 years of product management experience, preferably in AI/ML solutions or developer tools. Familiarity with AI frameworks and a user-centric approach are also critical, including strong analytical skills and the ability to collaborate effectively across teams.

The work environment for a Product Manager (AI) at Lens is hybrid, allowing for a blend of office and remote work. This flexible approach supports collaboration across teams while promoting productivity and work-life balance.

At Mirantis, the Product Manager (AI) role offers substantial growth opportunities through ownership of a new AI/ML developer tool and collaboration with world-class teams. Success in this position is integral to Mirantis’s broader AI developer tools strategy, providing a significant impact on the company's innovation path.

Joining Lens as a Product Manager (AI) means being at the cutting edge of industry innovation. You will work with a committed team that values user experience and community engagement, making a tangible impact by guiding the future of AI-powered developer tools within a company that emphasizes an open-source ethos.

When defining product strategy for AI-powered tools, I focus on understanding user needs through market research and feedback. I align product vision with business objectives and then translate this into an actionable roadmap that prioritizes features based on user value and market trends.

In my previous roles, I have worked closely with various AI and ML frameworks, such as TensorFlow and PyTorch. I actively participated in technical discussions, allowing me to better assess feasibility and understand the challenges developers face when integrating AI into their applications.

My approach to user research involves engaging with both early adopters and the broader community to gather qualitative and quantitative insights. I utilize surveys, interviews, and analytics tools to capture user experiences and preferences, which I then translate into actionable product requirements.

I prioritize features using a data-driven approach, balancing user feedback, market demand, and strategic objectives. I often use frameworks like the MoSCoW method to categorize features into must-haves, should-haves, could-haves, and won’t-haves, ensuring that we focus on delivering maximum value.

In my last role, I led a product launch that introduced a key feature for our developer tools. I coordinated across engineering, marketing, and sales, ensuring that all stakeholders were aligned. The effective community engagement strategy we implemented resulted in a 40% increase in adoption within the first month.

Challenges in developing AI tools often include ensuring usability while incorporating complex functionalities and keeping up with rapidly evolving AI technologies. I believe that proactively engaging with users to understand their pain points is essential to address these challenges effectively.

I measure success in early stages by tracking key metrics such as user adoption rates, retention, and engagement levels. I also rely on user feedback to iteratively improve the product and ensure it meets user expectations.

Effective communication among cross-functional teams is vital. I facilitate regular meetings, establish shared objectives, and utilize collaboration tools to keep everyone informed. Creating an inclusive environment where team members feel comfortable sharing their insights is also key.

User experience is fundamental to my approach as a product manager. I believe that a great product exceeds expectations and seamlessly integrates into users’ workflows. I work closely with UI/UX teams to ensure that usability and design principles are prioritised throughout the development process.

I believe I would be a good fit for the Product Manager (AI) role at Lens because of my strong background in product management combined with my passion for AI technologies. I understand the developer landscape and have a proven ability to drive product strategies that align with user needs and business goals.