Overview

Join to apply for the Manager, Applied Science role at Relativity.

Relativity is investing in AI across the Relativity One platform, focusing on helping users discover the truth more quickly, organize their data, and act on it with confidence. Relativity has established AI Principles to guide product development, emphasizing responsible AI with value for customers, clarity and control, fairness, privacy, security, and accountability.

About The AI Team At Relativity: Relativity is investing in developing new AI products and features across our Engineering teams, including data engineering, ML Ops, applied science, and product-focused feature teams for the Relativity One AI suite.

About The Applied Science Manager Role

The Polish branch of the Applied Science team is growing. The Applied Science Manager will join as a single-threaded owner of the AI model & evaluations aspect of our agentic assistant specializing in search and e-discovery use-cases. You will collaborate cross-functionally within the organization and with customers to ship improvements to one of Relativity’s most critical new products, influencing its roadmap and strategy.

Responsibilities

• 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.

Minimum Qualifications

• 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 Qualifications

• Experience with generative AI in production as part of larger systems (agents, tool use, function calling, guardrails).
• Depth in information retrieval & search (BM25, dense retrieval, hybrid, reranking).
• Experience in SaaS/Cloud with distributed teams, and operating in regulated/customer-data environments.
• Familiarity with privacy & AI regulations and enterprise governance.

Relativity is a diverse workplace and we celebrate different skills and life experiences. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Benefits

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

The position is eligible for total compensation including base salary, annual performance bonus, and long-term incentives. The expected salary range is 296 000 PLN to 444 000 PLN. The final offer will reflect depth of experience, skill set, and internal pay equity.