Nova

• Own the hiring process from sourcing to close. • Thrive in fast-moving, high-growth environments. • Love deep sourcing, strategic hiring, and closing top technical talent.

• understanding and championing user needs • shaping product design vision and strategy • creating high-quality, user-centric experiences • evolving brand identities and design systems • conducting and analyzing user interviews, surveys, and usability studies • developing user personas and journey maps • creating intuitive, user-centric, and technically implementable flows and interfaces • establishing the company’s initial brand identity • helping in the sourcing and recruiting process for design team • staying current with the latest design trends, tools, and technologies

• Own the hiring process from sourcing to close. • Collaborate with the People team to design effective recruitment strategies. • Manage candidate pipelines and ensure a positive candidate experience. • Utilize deep sourcing techniques to fill technical roles.

• Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines. • Design and implement scalable ETL/ELT processes ensuring data quality, integrity, and timeliness. • Monitor and improve pipeline performance, troubleshoot issues, and implement best practices. • Create and maintain comprehensive documentation for data engineering processes, architecture, and configurations. • Partner with business teams to gather requirements and translate them into technical solutions. • Build and maintain PowerBI dashboards and reports that drive business decisions. • Develop new data models and enhance existing ones to support advanced analytics. • Transform complex data findings into clear, actionable insights for various departments.

• Dive deep into the world of early stage SaaS startups • Research profiles and add candidates to projects

• Serve as the technical AI lead across portfolio companies, working directly with founders and engineers to architect and build AI-native products. • Translate business and product concepts into technical AI roadmaps using first-principles thinking. • Rapidly prototype, test, and iterate on machine learning and generative AI models across diverse use cases (e.g., vision, text, multi-modal). • Evaluate and integrate open-source models, fine-tune foundation models, and design custom training pipelines when needed. • Stay ahead of the curve on frontier AI advancements, sharing insights that shape company bets and technical decisions.

• Own the hiring process from sourcing to close. • Thrive in fast-moving, high-growth environments. • Deep source technical talent and close top candidates.