About PRISM Learning / e-GMAT PRISM Learning is the company behind e-GMAT — the brand that pioneered online test prep in the GMAT space and remains the undisputed #1 prep company in this category.Founded by alumni of IIT Delhi and BITS Pilani, e-GMAT was built at the intersection of learning science, pedagogy, data, and technology. Our co-founder Payal Tandon — the world's #1 GMAT instructor — has guided tens of thousands of students to their target scores. But here's what sets us apart: rather than scaling through more instructors, we've translated her expertise and proven learning pedagogy directly into our AI-powered products. Every student gets the benefit of world-class instruction, delivered through technology that adapts to how they learn.Key stat: Over the last five years, e-GMAT has sent more students to M7 business schools and ISB than any other prep company in the world. We serve 10,000+ paying students every year with a team of just 10 people.We're now expanding beyond GMAT into GRE, LSAT, SAT, IB curriculum, and other learning domains — and we need someone who can architect the learning systems that will power this expansion.This Is Not a Teaching Role Let's be direct about what this role is and isn't. This is a building role. You will architect learning systems — designing how courses work, what skills they develop, in what sequence, how progress is measured, and how the system adapts to different learners. You will use AI to create content at scale. You will look at data to evaluate what's working and what isn't, and you will iterate relentlessly.This is not a teaching role. You won't be standing in front of a classroom. You won't be recording video lectures. You won't be the "expert" who knows everything about a subject. In fact, we specifically don't want a domain expert. We want a systems thinker who can architect learning experiences acrossanydomain — because the domain expertise lives in AI models and in our subject matter experts. What doesn't live anywhere except in the right person's head is the ability to design systems that take a 20th percentile student to the 95th percentile.The difference between a teacher and a coach matters here. A teacher delivers content uniformly — the same lesson for every student, focused on right vs. wrong. A coach does something fundamentally different: they diagnose where each individual is strong and weak, do causal analysis onwhythe gaps exist, pull success factors from strong areas to fix weak ones, and create personalized improvement plans. This role requires the coaching mindset, not the teaching mindset.This Role Isn't for Everyone You'll be building learning systems across multiple domains — GMAT, GRE, LSAT, IB curriculum, and more. These systems will be responsible for the outcomes of thousands of students. When a course isn't producing results, it's on you to figure out why — is the skill sequencing wrong? Are the evaluation gates too loose? Is the system not adapting properly for different starting levels?We're a 10-person team. There's no hiding behind layers of management, no passing problems to "another department." You will work hard — harder than you have in most roles — because what you build has real, measurable impact on real students.This role is for you if: You're a builder at heart — you'd rather design a system than deliver a lecture You think in systems, sequences, and dependencies — not in topics and chapters You've built something you're proud of — a course, a training program, a learning system, a process — and you can explainwhyit worked You're a continuous learner with an insatiable appetite for understanding how things work You believe that a well-architected product should work for the 20th percentile student AND the 80th percentile student — through intelligent design, not through more content You're comfortable with AI and excited about using it to build at scale You thrive on intensity, ownership, and the challenge of making things better every dayThis role is NOT for you if: You see yourself as a subject matter expert first — someone whose value comes from knowing a domain deeply You love teaching and want to spend your days explaining concepts to students You think building a course means organizing content into chapters and recording videos You prefer well-defined processes over ambiguity You're looking for an easy, predictable work environment You're uncomfortable with technology or resistant to using AI as a core tool You believe your expertise in one domain is your primary asset — we need someone whose primary asset is the ability toarchitect systemsacross any domainIf you're still reading and feeling energized rather than intimidated — keep going.What You'll Do Architect Learning Systems (60-70% of your time) Design end-to-end course architectures across multiple domains — breaking down complex skills into component sub-skills, sequencing them based on dependencies, and building evaluation gates that verify learning before progression Build scalable methodologies — teaching approaches that apply to 95% of problems in a domain, not one-off solutions for individual problem types Design systems that work for different learner levels — a 20th percentile student gets a comprehensive path to the 95th percentile; an 80th percentile student gets an efficient path to the 99th percentile. Same system, different routes through it Use AI to create, refine, and scale content — you won't write every question by hand, you'll architect the systems that generate and curate content at scale Build support systems for courses — automatic error logs, remedial activity systems, diagnostic tools, and intervention triggers Evaluate and Iterate (20% of your time) Analyze data from courses you've built — what's the impact, what delta in improvement are students showing, where are they getting stuck Do causal analysis on gaps — not just "students are failing here" but "they're failing because skill X wasn't cemented before they encountered skill Y" Iterate on architectures based on evidence — refine sequencing, tighten evaluation gates, adjust adaptive pathways Student & Customer-Facing Work (10-20% of your time) Work directly with students to understand their experience — this isn't teaching, it's research. Understanding how learners actually interact with your systems Build admissions courses and other adjacent learning products Collaborate with the founders and subject matter experts on product directionWho You Are Background & Experience 2–12 years of experience — we care about what you've built, not how long you've been working You've built learning content, training programs, or educational systems — whether by hand or using AI. This is a prerequisite. You understand what it takes to design something that actually produces learning outcomes Strong academic track record — you've performed well in aptitude tests yourself (95th percentile+ on CAT/GMAT/GRE or equivalent) OR you've been a consistent academic topper. You know right from wrong because you've demonstrated it yourself Masters or PhD is welcome but not required — we value depth of thinking, not credential accumulation Experience outside test prep or education is perfectly fine — we value fresh perspectives and systems thinking over domain familiarityCore Attributes Systems thinker — you naturally break down complex problems into component parts, identify dependencies, and design architectures. This is the single most important attribute for this role Ownership mentality — you don't wait for instructions. You figure out what needs to happen and you make it happen Sustained focus and intensity — this role requires deep, concentrated work. Building learning architectures is cognitively demanding and you need to sustain that effort daily Continuous improvement mindset — you're never satisfied. If something works at 30%, you're already thinking about how to get it to 40%. You hunt for better ways Analytical rigor — you make decisions based on data, you measure impact, and you use evidence to iterate Structured problem-solver — you break ambiguity into actionable stepsTechnical Comfortable with AI tools — you'll use AI extensively to build content, analyze data, and scale output You don't need to be a developer, but you need to be tech-first — excited about technology as a lever, not intimidated by it Experience building multi-agent systems is NOT required — we'll teach you that. What we can't teach is systems thinkingWhat We Explicitly Don't Want Domain experts who define themselves by their knowledge of one subject — we need architects, not encyclopedias People who equate teaching with building — delivering content is not the same as designing systems that produce learning People who are scared of technology or see AI as a threat rather than a tool People looking for an easy, predictable work lifeWhat We Offer Compensation: ₹40 lakhs total (base + bonus + equity)Impact: You'll architect the learning systems that power e-GMAT's expansion into GRE, LSAT, SAT, IB, and beyond. What you build will directly impact thousands of students' outcomes.Growth: Work directly with the founders in a flat structure. No layers of management between you and the people making decisions.Autonomy: Own what you build. You'll have the freedom to architect systems the way you think they should be built — and the responsibility that comes with it.AI-First Environment: You'll work in an environment where AI is a core tool, not an afterthought. We're building the future of learning and you'll be at the center of it.
Job Title
Learning Architect