About the  Role:

We're looking for a Product Manager who gets excited about turning complex data challenges into elegant, widely-adopted solutions. As part of our dynamic team, you'll lead the charge in transforming how we measure and deliver quality in AI training data, while spearheading the analytics platform that drives our entire operation and ensuring teams embrace these tools in their daily workflows.

If you're passionate about AI, love diving deep into data, and want to make a real impact on how some of the world's most innovative companies build their AI models, this role is for you. You'll blend your product intuition with technical know-how to transform how we deliver high-quality training data at scale, focusing on both powerful functionality and seamless user adoption across the organization.

Responsibilities 

Drive the product strategy and roadmap for quality assessment tools and the operational analytics platform. Design and implement statistical frameworks and metrics to ensure ground-truth annotation accuracy at scale. Lead the continuous improvement of the analytics platform to support operational functions and service delivery. Collaborate with engineering, design, and service delivery teams to translate operational requirements into platform capabilities. Develop and implement quality validation processes tailored to diverse client needs, including computer vision and generative AI applications. Refine and standardize metrics, reporting methodologies, and dashboards across annotation types to deliver actionable insights and ensure consistent measurement of performance and outcomes. Incorporate client feedback to refine product strategy, prioritize roadmap updates, and support sales and solution engineering teams by providing expertise during client discussions, ensuring alignment with customer needs and expectations. Manage product development cycles, including requirements gathering, prioritization, and launch execution.

MInimum qualifications

Bachelor’s degree in Statistics, Data Science, Computer Science, or a related quantitative field. 3+ years of product management experience, with a focus on data platforms or quality systems. Experience writing clear product requirements and driving the product development lifecycle. Strong analytical skills with ability to use data to inform product decisions. Proficiency with SQL and experience working with data/analytics teams. Demonstrated success in stakeholder management and cross-functional leadership. Strong written and verbal communication skills in English.

Preferred qualifications

Master’s degree in a relevant field. Experience with computer vision, ML, or AI-powered products. Background in data quality, annotation, or data operations platforms. Track record of leading technical integrations or API-driven products. Knowledge of statistical methods for quality control and sampling. Experience with agile development and product discovery methodologies.