Learning and Development Lead, Agentic AI Upskilling Program

Your job is to operationalise this framework, source or build content, commission external practitioners where needed, and deliver certified FDEs into the field within six weeks per cohort.\n\nThis role requires someone who can move between strategy (designing the learning architecture) and execution (sourcing a Udemy clip, writing a recipe, coordinating with a practitioner), who is comfortable with ambiguity and incomplete information, and who can rally engineering leaders and line managers to make the program work.\n\nKey Responsibilities\n\nContent Curation and Sourcing\n\nOwn the end-to-end content pipeline: decide what to curate (40%), what to build (35%), and what to commission (25%).\nCurate best-in-class content from Udemy, industry platforms, and open-source libraries; clip and sequence material to exact competencies.\nBuild recipe-style playbooks and step-by-step guides using NotebookLM, Claude, and other tools, tailored to our stack and client scenarios.\nCommission external FDE practitioners to record on-screen coding walkthroughs and hands-on demonstrations; manage quality and turnaround.\nManage content lifecycle: track versioning, flag stale units, push quarterly update packets without full rebuilds.\n\nProgram Design and Delivery\n\nPartner with engineering leadership to map competencies: decompose current skills into focus areas, define observable can-dos, and set mastery bars.\nDesign the daily 20-minute learning experience: structure the Watch (curated clip) / Do (hands-on sandbox work) / Prove (assessment) pattern.\nBuild the four-gate system: entry diagnostic (Codeira), unit checkpoints (auto-graded), competency gates (practitioner panel), and FDE certification (demo day).\nOperate the LMS and learning platform: configure Codeira for personalised sequencing, wire sandbox environments, connect to Workday for tracking and Slack for leaderboards.\nPlan and run cohorts: schedule daily drips, manage practitioner assessors, coordinate demo days, and iterate based on data and feedback.\n\nVendor and Tool Management\n\nIdentify and procure the LMS platform; negotiate terms and manage implementation.\nEstablish relationships with external FDE practitioners; brief them on scenarios, manage recording schedules, QA output.\nOwn integrations with Codeira (AI-assisted tutoring), NotebookLM (content generation), Workday (reporting), and any other tools in the stack.\n\nStakeholder Alignment\n\nWork with engineering leadership to secure assessment panel capacity, scenario input, and feedback on certified FDEs.\nEngage line managers: help them nominate engineers for cohorts, communicate expectations, and track live-work application of skills.\nCommunicate progress to executives: provide monthly scorecards on gate pass rates, time-to-competency, certified FDE headcount, and revenue impact.\n\nProgram Scaling\n\nBuild operational playbooks and checklists so the program can be run repeatably for multiple cohorts without you personally executing every step.\nDocument the nine-step runbook (decompose, set bar, source units, produce micro-units, wire LMS, drip, gate, apply, refresh) so that scaling becomes mechanical.\nIdentify capacity bottlenecks early: assessment panel, practitioner availability, LMS limits, content production pace.\n\nWhat You'll Bring\n\nCore Strengths\n\n5-7 years in L&D, instructional design, or curriculum development, ideally in technical domains (engineering, data science, software development).\nProven ability to own a learning program end to end: from design through execution through iteration. You've built content, managed projects, and handled ambiguity.\nComfort with moving between strategy and tactics. You can write a content sourcing rubric, then spend a morning clipping a Udemy video.

Both matter.\nStrong project management discipline: you track dependencies, manage timelines, and communicate status clearly. You know when something is 80% and good enough, and when it needs another pass.\n\nTechnical and Platform Literacy\n\nHands-on fluency with LMS platforms (we are still choosing, but you should understand SCORM, xAPI, user provisioning, reporting).\nFamiliarity with AI-assisted tools: you have used Claude, ChatGPT, NotebookLM, or similar to brainstorm, draft, or refine content.\nAbility to learn new tools quickly. Codeira, Workday, Slack integrations, sandbox environments: you will pick up the specifics as we go.\n\nDomain Knowledge\n\nDeep familiarity with machine learning, agentic AI, or related technical domains.

You don't need to code, but you need to understand concepts like tool calling, RAG, orchestration, guardrails, and evaluation well enough to vet content quality.\nExperience building or evaluating training for MLEs, data scientists, or software engineers. You understand what hands-on, scenario-based learning looks like in technical domains.\n\nSoft Skills\n\nCommunication: you can explain a learning design to an engineer, a sponsor to a founder, and a blocker to a practitioner without ambiguity.\nResilience: you will hit no's, broken links, practitioners who ghost, and cohorts that under-deliver. You stay calm and find a workaround.\nIntellectual humility: you are willing to change your mind based on data (gate pass rates, feedback, attrition) and learner outcomes, not sunk cost in content you built.\n\nMindset\n\nBias toward action: you will have incomplete information.

You ship with what you have, measure the result, and iterate.\nProduct thinking: you see this as a learning product, not a course. You obsess over completion, engagement, and outcome (certified skill applied on live work), not enrolment or hours watched.\nStartup mentality: you are comfortable with tight budgets, scrappy tools, and doing work that would normally be split across three roles. You figure out how to get leverage.\n\nWhat This Role Is Not\n\nThis is not a training coordinator role.

You will not be scheduling Zoom calls full time or managing rosters.\nThis is not a solo subject matter expert role. You will partner with engineers and practitioners, but you are the orchestrator, not the source of all knowledge.\nThis is not a curriculum design-only role. You own end-to-end delivery, which means sitting in practitioner recordings, pushing content into the LMS, and troubleshooting leaderboard bugs.\n\nCompensation and Benefits\n\nCompetitive salary based on experience and market rates for L&D leadership roles in tech.\nStandard company benefits: health insurance, retirement plan, flexible work arrangements.\nLearning budget: we will fund your access to platforms, courses, or certifications that keep you sharp.\nImpact: your work will directly influence how we upskill engineering talent and expand our FDE delivery capacity.\n\nHow to Apply\n\nSubmit your resume, a cover letter explaining why this role excites you, and answers to these two questions:\n\nTell us about a time you owned an end-to-end learning program or project from design to delivery.

What was the biggest challenge, and how did you solve it?\nDescribe a technical topic you have learned deeply or taught. How would you approach making it accessible to someone with a different background or skill level?\n\nYou can send your application to .