
1001 - 5000 employees
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą 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.
đ„ 0 minutes ago
đ”đ± Poland â Remote
đ” zĆ288k - zĆ432k / year
â° Full Time
đĄ Mid-level
đ Senior
đźââïž Software Engineering Manager
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1001 - 5000 employees
đ€ Artificial Intelligence
đą Enterprise
âïž SaaS
Artificial Intelligence âą Enterprise âą 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.
âą Lead and mentor a team of software engineers and/or architects across multiple product areas âą Drive development of existing applications and new platforms, with a strong emphasis on AI-driven and data-driven capabilities âą Architect and promote API-first, service-oriented systems, ensuring scalability, maintainability, and extensibility âą Provide hands-on technical contribution in software design, coding, and system integration when needed âą Guide adoption of modern data technologies, including NoSQL databases (e.g., MongoDB), and ensure effective data modeling, ingestion, and transformation strategies âą Enable teams to build intelligent, AI-powered features leveraging LLMs and machine learning integrations via APIs âą Allocate and validate engineering resources based on Scrum team needs and business priorities âą Ensure best practices in secure, scalable API design and integration patterns (REST, event-driven, and microservices) âą Conduct regular 1:1s, performance reviews, and career development conversations âą Promote domain knowledge sharing and technical excellence across the team âą Provide technical leadership and act as a strategic advisor to business stakeholders âą Represent direct reports in discussions around career growth, assignments, and opportunities âą Stay current with industry trends across AI, distributed systems, and data platforms, ensuring continuous innovation âą Support organizational initiatives, including process improvements, AI adoption, and engineering maturity âą Occasionally participate in Level II technical support after hours, as needed
âą 5+ years of experience in software engineering, with at least 2 years in a leadership or management role âą Proven ability to hire, lead, and grow high-performing engineering teams âą Strong hands-on experience with software development and programming (e.g., Java, Python, or similar) âą Experience designing and building API-based / microservices architectures âą Practical experience with NoSQL databases (e.g., MongoDB) and modern data platforms âą Solid understanding of data-driven development, including data modeling, ingestion, and processing pipelines âą Experience integrating AI tools (e.g., Copilot, Claude, Cursor) and AI-powered APIs into development workflows and products âą Experience with SaaS or enterprise-scale distributed systems âą Strong understanding of system design, scalability, and reliability principles (SLOs, observability, etc.) âą Excellent communication, collaboration, and organizational skills âą Experience working in Agile/Scrum environments
âą Competitive base salary âą Annual performance bonus âą Long-term incentives
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