[Remote] Director, AI & Data Science
Note: The job is a remote job and is open to candidates in USA. LRN is the world's leading dedicated ethics and compliance SaaS company, helping organizations navigate complex regulatory environments. 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.
Responsibilities
• 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
Skills
• 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)
Benefits
• Flexible PTO plus US public holidays and Sick Time
• Medical, Dental and Vision Benefits
• Excellent 401K with employer match
• Life Insurance, short-term and long-term disability benefits
• Health & Wellness reimbursements
• Health Saving & Flexible spending account
• Employee Assistance Plan
Company Overview
• LRN provides integrated solutions through strategic advice, content, tools, online platforms, and support for organizations worldwide. It was founded in 1992, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is http://www.lrn.com/.
Company H1B Sponsorship
• LRN has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
Responsibilities
• 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
Skills
• 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)
Benefits
• Flexible PTO plus US public holidays and Sick Time
• Medical, Dental and Vision Benefits
• Excellent 401K with employer match
• Life Insurance, short-term and long-term disability benefits
• Health & Wellness reimbursements
• Health Saving & Flexible spending account
• Employee Assistance Plan
Company Overview
• LRN provides integrated solutions through strategic advice, content, tools, online platforms, and support for organizations worldwide. It was founded in 1992, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is http://www.lrn.com/.
Company H1B Sponsorship
• LRN has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now