Develop, optimize, and maintain scalable backend applications and APIs for web and mobile platforms. Collaborate with cross-functional teams to improve database design and overall system performance.
Janea Systems
11 Remote Job Openings at Janea 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.
Principal Backend / Platform Engineer (Cybersecurity)
Janea Systems
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Full Time
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2 months ago
Janea Systems
Own the end-to-end cloud platform architecture, focusing on scalability, reliability, and low-latency real-time detection pipelines. Design and enforce privacy-first systems and manage platform infrastructure including Azure and CI/CD pipelines.
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.
The role involves designing scalable architectures for machine learning platforms, AI services, and data processing pipelines, ensuring high availability and performance of ML-powered applications. Responsibilities also include architecting end-to-end ML pipelines, guiding implementation of MLOps practices, and providing architectural leadership to engineering teams.
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.
The Head of GTM will own the company's go-to-market evolution, focusing on validating and refining initial GTM strategy, scaling the pilot program, and defining the foundation for a repeatable enterprise motion. Core duties include evaluating GTM hypotheses, owning pilot expansion, leading customer discovery, developing enterprise motions, and establishing foundational GTM infrastructure.
Originate and close new business with Fortune 500 and high-growth tech companies while managing a qualified pipeline to meet revenue targets. Lead the full sales cycle and develop trusted relationships across client organizations.
