Manager, Applied Science

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September 24

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Relativity

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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.

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Build and lead a high-performing applied science team (hire, onboard, set expectations, coach, and manage performance) • Translate objectives into roadmaps: define milestones, resourcing, and risks; maintain a transparent, prioritized backlog (features, experiments, and tech debt) • Grow people and culture: set ambitious goals, promote learning and experimentation, and create a psychologically safe environment • Partner broadly with Product, Engineering, Design, and Customer teams to move from PoC to production at pace • Own modeling & evaluation strategy across the stack: retrieval, re-ranking, generation, tool use, and guardrails • Choose the right approach for the job (simple when possible; advanced when it pays off) with clear cost/latency/reliability trade-offs • Stand up rigorous evals: offline (curated datasets, regression suites), online, human-in-the-loop labeling, and quality dashboards • Advance retrieval quality (chunking, indexing, hybrid sparse/dense, embeddings, query understanding) and generation quality (prompting, function calling, structure) • Productionize with solid MLOps / LLMOps : versioning, CI/CD for models/prompts, observability, rollback plans • Champion privacy, security, and safety by design; collaborate with Legal/Compliance on AI governance • Consistently ship measurable improvements to search quality, answer accuracy, and user experience • Represent Relativity in select customer meetings and industry events; contribute to hiring via talks, posts, and networks

🎯 Requirements

• Advanced degree in Computer Science, or a quantitative discipline AND 5 + years in applied ML/AI , including 2+ years managing or tech-leading applied science/ML teams • Excellent communication in English (written and spoken), with the ability to explain complex trade-offs to diverse audiences • Track record shipping AI features in collaboration with product and engineering • Solid grounding in statistical & mathematical modeling and MLOps / LLMOps concepts • Excellent analytical skills • Intentional user of modern AI productivity-enhancing tools • Strong Python and software engineering practices; familiarity with modern ML/LLM tooling and cloud (any major provider) • Preferred: Experience with generative AI in production as part of larger systems (agents, tool use, function calling, guardrails) • Preferred: Depth in information retrieval & search (BM25, dense retrieval, hybrid, reranking) • Preferred: Experience in SaaS/Cloud with distributed teams, and operating in regulated/customer-data environments • Preferred: Familiarity with privacy & AI regulations and enterprise governance

🏖️ Benefits

• Comprehensive health plan • Flexible work arrangements • Two, week-long company breaks per year • Unlimited time off • Long-term incentive program • Training investment program