Algorithm AI Modeling Lead
A cutting-edge technology company at the intersection of AI, software engineering, and retail innovation is seeking a Algorithm AI Modeling Lead to help shape the foundation of its high-growth, intelligent systems platform.
This is a rare opportunity to join a well-funded, late-stage pre-IPO firm backed by tier-1 investors, building enterprise-scale solutions for major global brands.
With over $500M in capital raised and a thriving ARR base, the company is rapidly expanding its Bay Area engineering footprint.
As the Algorithm AI Modeling Lead, you will spearhead high-impact architecture initiatives across distributed systems, algorithm development, and cloud-native microservices.
This position offers the chance to lead greenfield design projects while collaborating with a world-class team of engineers and product leaders.
This Role Offers:
• Competitive total compensation package (including base, bonus, and equity).
• High-ownership role in a company on track for IPO within two years.
• Work on transformative systems used by some of the world’s most recognizable retail brands.
• Join a collaborative, mission-driven team with a focus on performance, innovation, and scale.
Focus:
• 12+ years of software architecture or engineering experience with a strong foundation in system-level design.
• Proven experience leading architecture efforts for scalable, distributed systems.
• Hands-on expertise in Java or C++ and modern software development practices.
• Familiarity with computational optimization, queuing theory, or high-throughput systems preferred.
• Strong understanding of system performance tuning, microservices, and inter-service communication.
• Background in industries like retail tech, IoT, robotics, supply chain, or cloud-native SaaS platforms is a plus.
• Advanced degree in Computer Science, Software Engineering, or a related technical field from a recognized institution.
Skill Set:
• Experience with Erlang, Elixir, Scala, or similar functional languages.
• Exposure to machine learning architectures or AI-driven systems.
• Track record of patentable or innovative architectural contributions.
• Familiarity with certification requirements, security, and compliance in SaaS/PaaS platforms.