LRN Corporation

Lead and develop AI and data science strategies, build scalable AI solutions, and collaborate across teams to ensure responsible AI deployment. | Extensive experience in AI/ML, leadership in applied AI teams, expertise in LLMs, MLOps, and responsible AI practices, with strong Python and modern ML stack skills. | Position: Director, AI & Data Science Location: Remote UK, US or India (4-6 hours overlap with east coast required) About LRN: LRN is the world’s leading dedicated ethics and compliance SaaS company, helping more than 30 million people every year navigate complex regional and global regulatory environments and build ethical, responsible cultures. With over 3,000 clients across the US, EMEA, APAC, and Latin America—including some of the world’s most respected and successful brands—we’re proud to be the long-term partner trusted to reduce organizational risk and drive principled performance. Named one of Inc Magazine’s 5000 Fastest-Growing Companies, LRN is redefining how organizations turn values into action. Our state-of-the-art platform combines intuitive design, mobile accessibility, robust analytics, and industry benchmarking—enabling organizations to create, manage, deliver, and audit ethics and compliance programs with confidence. Backed by a unique blend of technology, education, and expert advisement, LRN helps companies turn their values into real-world behaviors and leadership practices that deliver lasting competitive advantage. About the role: 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. What you’ll do: 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 What we're looking for: 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) PTO plus public holidays

Manage client relationships, ensure value delivery, and expand account opportunities within a SaaS environment. | Minimum 5 years of client-facing account management experience, familiarity with SaaS platforms, and strong communication skills. | Position: Client Success Manager Location: US- remote About LRN: LRN is the world’s leading dedicated ethics and compliance SaaS company, helping more than 30 million people every year navigate complex regional and global regulatory environments and build ethical, responsible cultures. With over 3,000 clients across the US, EMEA, APAC, and Latin America—including some of the world’s most respected and successful brands—we’re proud to be the long-term partner trusted to reduce organizational risk and drive principled performance. Named one of Inc Magazine’s 5000 Fastest-Growing Companies, LRN is redefining how organizations turn values into action. Our state-of-the-art platform combines intuitive design, mobile accessibility, robust analytics, and industry benchmarking—enabling organizations to create, manage, deliver, and audit ethics and compliance programs with confidence. Backed by a unique blend of technology, education, and expert advisement, LRN helps companies turn their values into real-world behaviors and leadership practices that deliver lasting competitive advantage. About the role: LRN is seeking a high performing Client Success Manager to maintain relationships and ensure value delivery within our existing customer base. You will work closely with the other LRN teams to ensure successful adoption and utilization of the LRN solution set (library content, platform, bespoke learning solutions, and advisory consulting). You will be an ambassador for LRN by being a trusted strategic advisor to our clients, a strong customer advocate, and the link between LRN and our existing customer base. What you'll do: Manage all commercial aspects of the relationship including contract amendments, pipeline development and forecasting, statements of work, pricing, negotiating with procurement and securing contract signature Grow existing accounts by finding new buyers and introducing new and/or enhanced LRN solutions to existing buyers Act as the strategic partner between LRN and our most important clients by building relationships with multiple contacts and buying centers. Participate in the planning process with clients regarding the deployment and utilization of LRN’s licensed solution set Run outbound prospecting campaigns to supplement inbound leads delivered by marketing and opportunities uncovered during Business Reviews Proactively analyse client health metrics, and usage of products and content, and recommending optimization and improvements as appropriate Execute on-going formal Program / Business Reviews with client stakeholders and sponsors Manage, track and report all activities in Salesforce.com to ensure accurate sales forecasting and pipeline development Represent the voice of our clients to internal teams including product, content and technology What we're looking for: Minimum of 5 years of solid client-facing relationship or account management with experience retaining and expanding a book of existing accounts Exceptional relationship development and management abilities and a proven commitment to customer service Experience supporting individuals who are using a SaaS business application Ability to bring clarity, structure, and discipline to a variety of situations and environments and experience working with complex projects Extremely effective written, oral, and presentation communication skills Strong Microsoft Office skills and a working knowledge of technology and system interfaces Familiarity with Salesforce.com, MEDDPICC Knowledge of Ethics and Compliance learning space and/or working with learning platforms and solutions A high degree of ethics and integrity and a desire to help organizations do the right thing and to pursue LRN’s mission of inspiring principled performance Industry expertise in compliance, ethics risk management, or HR benefits platforms preferred 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