Learning Experience Designer

Posting Type Hybrid Job Overview This is a net new role and the capability that unlocks the team’s future‑state vision. The Learning Experience Designer architects the microlearning ecosystem for Relativity’s sales enablement function — building fast, modular, AI-powered content that travels at the speed of the business. They also own onboarding as a designed, measured program — not a maintenance task. This person serves as the shared content engine for the full team, partnering closely with the Sales Trainer to co‑design and co‑deliver programs, and with the Director to shape the team’s overall learning model. Job Description and Requirements KEY RESPONSIBILITIES Design and build microlearning programs across all four workstreams: commercial & tech stack, sales playbooks, role of the seller, and onboarding Own the onboarding program as a designed, role‑specific, personalized journey that measurably reduces ramp time Build AI‑assisted content pipelines that allow the team to turn ideas into deployed training in days, not weeks Partner with the Sales Trainer to co‑design programs — the Trainer brings field insight and delivery expertise, the LXD brings learning architecture and production capability Manage the learning tech stack and ensure content is optimized for Highspot, LMS, Slack, and in‑flow delivery Measure content effectiveness through completion rates, assessment scores, and downstream productivity signals Stay current on AI‑forward learning tools and bring new capabilities to the team proactively QUALIFICATIONS 5+ years in instructional design, learning experience design, or content strategy with a sales enablement focus Deep expertise in microlearning design principles, spaced repetition, and modern LXD frameworks Hands‑on experience with AI‑assisted content creation tools and rapid authoring platforms (Articulate, Arist, or equivalent) Track record of owning onboarding program design — not just maintaining it Strong visual and UX sensibility: ability to build content that is engaging, not just informative Experience integrating learning content into seller workflow tools (Highspot, Slack, Salesforce) Differentiators (Preferred) Experience in a high‑growth SaaS or legal tech environment Familiarity with the e‑discovery market or Relativity’s product ecosystem Experience building a content production system from scratch, not inheriting a mature one WHAT SUCCESS LOOKS LIKE IN YEAR ONE Onboarding redesigned as a role‑specific, measured journey with a documented ramp baseline and improvement target A working AI‑assisted content pipeline in place — idea to deployed asset measured in days Microlearning library established and adopted across all four workstreams Content effectiveness reporting running on a regular cadence and informing what gets built next Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long‑term incentives. The expected salary range for this role is between following values: $116,000 and $174,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Change Management Content Development Facilitation Leadership Process ImprovementsProgram Management Project Management Stakeholder Management Strategic Planning Vendor Management We’re solving big data challenges in the legal tech industry, and we’re always looking for more people to join us on the journey. At Relativity, you'll learn cross‑functional skills to grow your career and have the chance to make a big impact on our customers, our industry, and our communities. We admire and value our employees, so it’s no surprise that our hiring process is designed to help us really get to know you – and for you to get to know us, too. #J-18808-Ljbffr