Manager, Software Engineering

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Relativity

1001 - 5000 employees

đŸ€– Artificial Intelligence

🏱 Enterprise

☁ SaaS

Artificial Intelligence ‱ Enterprise ‱ SaaS

Relativity is a technology company that provides cloud-based software solutions for data discovery, e-discovery, data breach response, contract analysis, and privacy management. Their products, powered by artificial intelligence, offer proactive security and legendary support to help organizations manage sensitive data. Relativity is trusted by thousands of organizations, including law firms, corporations, and government agencies, to organize data, discover truth, and act on it effectively and efficiently. Their end-to-end solutions streamline data discovery from collection to review and production, utilizing tools like RelativityOne, Relativity aiR for AI-driven legal challenges, and custom solutions through the Relativity App Hub. Relativity is committed to offering secure, flexible solutions with a strong focus on customer support and strategic partnerships.

📋 Description

‱ Lead and mentor a team of software engineers and/or architects across multiple product areas ‱ Drive development of existing applications and new platforms, with a strong emphasis on AI-driven and data-driven capabilities ‱ Architect and promote API-first, service-oriented systems, ensuring scalability, maintainability, and extensibility ‱ Provide hands-on technical contribution in software design, coding, and system integration when needed ‱ Guide adoption of modern data technologies, including NoSQL databases (e.g., MongoDB), and ensure effective data modeling, ingestion, and transformation strategies ‱ Enable teams to build intelligent, AI-powered features leveraging LLMs and machine learning integrations via APIs ‱ Allocate and validate engineering resources based on Scrum team needs and business priorities ‱ Ensure best practices in secure, scalable API design and integration patterns (REST, event-driven, and microservices) ‱ Conduct regular 1:1s, performance reviews, and career development conversations ‱ Promote domain knowledge sharing and technical excellence across the team ‱ Provide technical leadership and act as a strategic advisor to business stakeholders ‱ Represent direct reports in discussions around career growth, assignments, and opportunities ‱ Stay current with industry trends across AI, distributed systems, and data platforms, ensuring continuous innovation ‱ Support organizational initiatives, including process improvements, AI adoption, and engineering maturity ‱ Occasionally participate in Level II technical support after hours, as needed

🎯 Requirements

‱ 5+ years of experience in software engineering, with at least 2 years in a leadership or management role ‱ Proven ability to hire, lead, and grow high-performing engineering teams ‱ Strong hands-on experience with software development and programming (e.g., Java, Python, or similar) ‱ Experience designing and building API-based / microservices architectures ‱ Practical experience with NoSQL databases (e.g., MongoDB) and modern data platforms ‱ Solid understanding of data-driven development, including data modeling, ingestion, and processing pipelines ‱ Experience integrating AI tools (e.g., Copilot, Claude, Cursor) and AI-powered APIs into development workflows and products ‱ Experience with SaaS or enterprise-scale distributed systems ‱ Strong understanding of system design, scalability, and reliability principles (SLOs, observability, etc.) ‱ Excellent communication, collaboration, and organizational skills ‱ Experience working in Agile/Scrum environments

đŸ–ïž Benefits

‱ Competitive base salary ‱ Annual performance bonus ‱ Long-term incentives

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