Overview

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

Relativity is investing in AI products and features for customers, spanning data engineering, ML Ops, applied science, and product-focused teams for Relativity One AI. The team emphasizes experimentation, learning, and delivering measurable improvements in search quality, answer accuracy, and user experience, while upholding AI governance, privacy, and security principles.

Posting Type: Remote.

Relativity has established AI Principles to guide product development, including building AI with purpose, delivering customer value, ensuring fairness, championing privacy, protecting data security, and maintaining accountability.

The Applied Science Manager will join the Polish branch to become the single-threaded owner of the AI model and evaluations for our agentic assistant focused on search and e-discovery use-cases. You will collaborate cross-functionally within Relativity and with customers to ship improvements and influence 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, risks; maintain a transparent, prioritized backlog (features, experiments, and technical debt).
• Grow people and culture: set ambitious goals, promote learning and experimentation, and create a psychologically safe environment.
• Partner with Product, Engineering, Design, and Customer teams to move from PoC to production at pace.
• Own modeling and evaluation strategy across the stack: retrieval, re-ranking, generation, tool use, and guardrails.
• Choose the right approach for the job with clear cost/latency/reliability trade-offs.
• Establish rigorous evaluations: offline datasets, regression suites, online tests, 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, and 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 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 and mathematical modeling and MLOps/LLMOps concepts.
• Excellent analytical skills.
• Proficient with modern AI productivity tools; strong Python and software engineering practices; familiarity with modern ML/LLM tooling and cloud providers.

Preferred Qualifications

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

Relativity is a diverse workplace and inclusive of different skills and life experiences. We are committed to equal employment opportunity and encourage all qualified applicants to apply.

Benefits

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

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