Lead the development of high-impact backend solutions and manage engineering projects for Fortune 500 clients. Collaborate with ML/AI specialists to integrate models into scalable, production-ready backend systems.
Lead and coach a pod of recruiters to ensure high-quality and speedy delivery of software engineering talent. Manage the end-to-end recruiting process, including intake quality, pipeline health, and hiring manager relationships.
Design and scale computer vision systems to transform sports video into actionable insights, focusing on detection, tracking, and camera calibration. Lead technical initiatives from experimentation through production deployment while collaborating with cross-functional engineering and data teams.
Lead full-cycle executive searches for Senior Sales Executives in the US market and other executive-level roles. Build a network of passive GTM talent and manage a high-judgment assessment process to maintain the company's premium brand.
Manage the full sales cycle for Memurai, from qualifying inbound and self-sourced leads to closing deals with SMB and mid-market enterprises. Collaborate with marketing and partners to drive lead generation and contribute to the development of sales playbooks and processes.
Design and implement complex, stateful, fault-tolerant, and high-performance client-side engines. Collaborate with a global engineering team to deliver high-impact software solutions.
This role involves leading the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, working at the intersection of ML, distributed systems, and production software engineering. The Lead ML Engineer will guide ML architecture decisions, mentor other engineers, and collaborate cross-functionally to deliver high-impact AI solutions.
