Director of AI & Data Science, LRN Corporation
More information about location
Ethics & compliance platform
Be an early applicant
Ethics & compliance platform
501-1000 employees
Be an early applicant
More information about location
501-1000 employees
Company mission
To inspire principled performance in organizations by helping them foster winning, ethical cultures.
Role
Who you are
- Proven ability to lead an applied AI team (player-coach) and drive delivery in a production environment
- Strong end-to-end ML/AI engineering judgment: data, modeling, evaluation, deployment, monitoring, iteration
- Practical experience with LLMs and modern AI tooling, including prompt/system design, retrieval (RAG), fine-tuning (when appropriate), and evaluation
- Ability to translate ambiguous business problems into tractable AI work with clear scope, milestones, and measurable outcomes
- Excellent communication: can explain complex trade-offs to technical and non-technical audiences
- Experience collaborating with Sales/Marketing on customer-facing AI positioning and solutioning
- PhD Plus 2 years industry experience/ Masters plus 4 years / bachelor's plus 6 years industry experience
- Field of study computer science or at least 3 years as a software developer
- Strong Python and modern ML stack (e.g., PyTorch / sklearn; data tooling; experimentation, vector databases)
- Understanding of modern software development and technology practices like git, APIs, containerization, CI/CD
- Experience with model evaluation, guardrails, observability
- Understanding of responsible AI: privacy, security, governance, and risk controls—especially in regulated/enterprise contexts
- Node.js and other backend development skills
- Experience in B2B SaaS, compliance/ethics, risk, or enterprise workflows
- Experience designing evaluation frameworks for LLM features (quality, hallucination risk, latency/cost trade-offs)
- Prior customer-facing technical leadership (pre-sales, workshops, exec briefings)
What the job involves
- The Director of AI & Data Science will define and lead the company’s applied AI strategy, delivering scalable ML and LLM-powered solutions that drive measurable business impact
- This role partners closely with Product, Engineering, Security/Compliance, Sales, and Marketing to translate customer needs into production-ready AI capabilities
- This is a hands-on leadership role requiring both technical depth and organizational influence
- You will coach and grow a small team, architect end-to-end AI systems, and help the company communicate AI value credibly and responsibly to customers and stakeholders
- Lead and grow the AI & DS function: manage/mentor a team of ML/data scientists and guide hiring, prioritization, and delivery
- Set technical strategy and standards: choose architecture, tooling, evaluation methods, and deployment patterns (MLOps / LLMOps), with a strong focus on reliability and risk management
- Build and ship AI capabilities: deliver end-to-end solutions (problem framing → data → modeling → evaluation → deployment → monitoring)
- Partner cross-functionally: collaborate with Product/Engineering to integrate AI into workflows and product experiences; align with Security/Privacy/Legal for responsible use
- Enable GTM: support Sales and Marketing with AI narratives, customer-facing discussions, solutioning, and (when needed) technical validation
- Measure impact: define success metrics, run experiments, and communicate trade-offs and results clearly to execs and stakeholders
Our take
A desire for more ESG-related transparency has pushed the ethics and compliance of large businesses into the spotlight. LRN (Legal Research Network), although founded back in 1990, has seen renewed prominence due to this trend.
LRN offers corporate and workforce training on diversity and compliance, whilst providing data-driven analytics to help companies improve their standards. In 2022, LRN expanded its DE&I learning package and won awards for its corporate training videos, exemplifying how it meets the evolving standards of companies in the modern day.
With research establishing that ethical companies tend to outperform their competitors, the interest in LRN's offering seems likely to keep rising. As the company continues expanding, it can rightfully be considered a global leader in ethics and compliance solutions.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (2 rounds)
Jan 2000
$30m
EARLY VC
Jan 1994
$2m
ANGEL
Total funding: $32m
Company benefits
- Flexible working schedule
- PTO plus UK public holidays
- Excellent healthcare plan
- Excellent pension plan
- Life Insurance
- Travel and Personal Accident Insurance
Company HQ
Midtown East, New York, NY
Leadership
Dov Seidman
(Founder & Chair)Previously Executive Chairman for the HOW Institute For Society.
Kevin Michielsen
(CEO)Previoulsy CEO at Watermark, President of Legal Media at ALM, and VP at Visant Corporation and LexisNexis.
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