Member of Technical Staff - Product Engineer

As a Member of Technical Staff - Product Engineer at Liquid, you will drive end-to-end product development within assigned enterprise verticals, work directly with customers to uncover their needs, and collaborate with machine learning engineers to enhance technical capabilities. You'll also define and execute rapid experiments to validate product-market fit, ensuring that our solutions align perfectly with customer requirements.

To qualify for the Member of Technical Staff - Product Engineer position at Liquid, candidates should have a proven track record in product development, especially in enterprise or machine learning contexts. A strong technical background is essential, allowing you to bridge the gap between product vision and implementation. Experience in navigating ambiguity and leading product initiatives without a preset playbook is crucial for success.

The Member of Technical Staff - Product Engineer plays a pivotal role in the deployment of AI solutions at Liquid by transforming validated machine learning technology into market-ready products. By actively engaging with customers, you will gather insights that contribute to the evolution of our AI platform, ultimately driving product-market fit and enhancing revenue generation.

At Liquid, the work environment fosters innovation and encourages taking ownership of projects. As a Member of Technical Staff - Product Engineer, you will enjoy high agency, working closely with talented technical and go-to-market teams. The culture emphasizes flexibility, creative problem-solving, and the excitement of bringing theoretical technology to life, creating a supportive atmosphere for groundbreaking AI solutions.

Liquid offers numerous growth opportunities for the Member of Technical Staff - Product Engineer, including the chance to take full ownership of product-market fit in your vertical and directly impact the company's strategy. You'll also have access to enterprise customer problems worth solving, providing invaluable experience and exposure that can enhance your career development in AI and product engineering.

When answering this question, focus on specific examples where you've led a product from initial conception to market introduction, particularly in enterprise settings. Highlight any methodologies you employed to validate ideas and showcase how you engaged with customers to inform development.

In your response, illustrate how you prioritize customer feedback while leveraging technical expertise to devise effective solutions. Provide examples of past projects where you successfully integrated customer insights to enhance product functionality.

Talk about the importance of rapid prototyping and user testing in your approach. Discuss any frameworks or tools you've used to gather feedback quickly and iteratively improve the product based on real-world use.

Emphasize your comfort with uncertainty and your approach to mitigating risks. Describe techniques you use for defining clear objectives and KPIs in projects even when initial direction is unclear.

Provide a detailed example of how customer feedback directly influenced the specifications of a product you were working on. Explain the process you followed and the impact it had on the final product.

Discuss how you foster communication and collaboration with ML engineers, potentially touching on specific tools and practices that facilitate teamwork. Highlight the importance of understanding both product needs and machine learning capabilities.

In answering, detail any strategies you've employed to reach wider audiences, including market research, customer segmentation, and expansion of product features based on broader user feedback.

Explain your preference for direct engagement with customers through interviews, surveys, or observational studies. Give examples of how these methods have informed your product decisions in past roles.

Describe your organizational skills and any systems or tools you use to manage priorities effectively. Discuss how you communicate with stakeholders to ensure alignment on priorities in a dynamic work environment.

Talk about factors such as system performance, user load, and future technology integration when architecting scalable products. Provide examples of challenges you've faced and how you addressed them to ensure robust architecture.