
1 - 10 employees
🤖 Artificial Intelligence
☁️ SaaS
🎯 Recruiter
Artificial Intelligence • SaaS • Recruitment
Cohort AI is an AI-powered recruiting platform that delivers top technical talent rapidly. The SaaS product uses machine learning and a suite of AI agents to source (scan millions of profiles), conduct personalized outreach, run technical evaluations, and coordinate interviews and offers—integrating with ATS tools like Greenhouse and Lever to streamline hiring workflows and cut time-to-hire. Founded by engineers experienced in scaling high-performance teams, Cohort targets fast, precise hiring of senior/”unicorn” technical candidates.
🕒 February 26
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1 - 10 employees
🤖 Artificial Intelligence
☁️ SaaS
🎯 Recruiter
Artificial Intelligence • SaaS • Recruitment
Cohort AI is an AI-powered recruiting platform that delivers top technical talent rapidly. The SaaS product uses machine learning and a suite of AI agents to source (scan millions of profiles), conduct personalized outreach, run technical evaluations, and coordinate interviews and offers—integrating with ATS tools like Greenhouse and Lever to streamline hiring workflows and cut time-to-hire. Founded by engineers experienced in scaling high-performance teams, Cohort targets fast, precise hiring of senior/”unicorn” technical candidates.
• Define and lead the architecture of complex, cloud-based systems with a focus on scalability, reliability, and security • Design and evolve data architectures, including data models, pipelines, and lifecycle management practices • Partner closely with product, engineering, and business stakeholders to translate requirements into robust technical designs • Establish and uphold best practices across software design, development workflows, and deployment strategies • Evaluate, select, and integrate cloud platforms, databases, and supporting technologies • Provide technical leadership and mentorship to engineering teams, raising overall technical standards • Review system designs and implementations, offering clear, actionable feedback • Create and maintain architectural documentation to ensure clarity and long-term maintainability • Drive improvements in development processes, tooling, and engineering methodologies • Implement data governance and security practices to ensure integrity, consistency, and compliance • Stay current with emerging technologies and architectural patterns to inform future platform evolution
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline • 8+ years of professional software development experience, with significant focus on cloud architectures • Deep experience with one or more cloud platforms (AWS, Azure, or Google Cloud) • Strong foundation in software architecture principles, design patterns, and best practices • Proven experience designing and leading large-scale, distributed systems • Solid expertise in database technologies (SQL and NoSQL) and data management concepts • Hands-on experience with data architectures, including data warehousing, ETL pipelines, and governance models • Proficiency in at least one modern programming language (Python, Java, C#, or JavaScript) • Experience with DevOps practices such as CI/CD, infrastructure as code, and automated testing • Strong analytical and problem-solving skills with a system-level mindset • Excellent communication and leadership abilities, capable of influencing cross-functional teams • Comfortable working in agile environments with a collaborative, ownership-driven approach.
• Professional development opportunities
Apply Now🕒 February 26
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