🪃 About Memorang
Our mission is to automate how humans learn and acquire skills. The first step in our journey is to build the AI stack for education to transform the credentialing and publishing industries with the best tools to build curricula, assessments, and apps at scale.
After winning #1 (of 1,500) in the Vercel AI Accelerator we bootstrapped to millions in revenue and profitability while delivering over 200MM assessments via our AI platform. We also just closed our first strategic investment to scale faster and deploy our solution to millions of additional learners.
We’re a lean, talented team that rewards agency, curiosity, and shipping real products that directly impact the lives of millions.
"Memorang has literally the best gen AI results I've seen applied to a real world problem."
- Director of Trust and Safety, Google Deepmind
🎯 Role
As a Forward-Deployed Engineer, you're the tip of the spear for Memorang's engineering and product strategy. Operating on the frontlines means you get first crack at early-access models and frameworks—often before they're public—experimenting to find how they unlock new value for our platform and partners.
Our philosophy: problem-market fit, not just product-market fit. We're outcome-obsessed and value-driven. We don't just build features—we evolve our entire platform around emerging AI capabilities to solve the hardest, most impactful problems for customers.
🛠️ Sample projects could include…
- Building a custom integration that syncs learner progress from their LMS to our platform in real-time, turning a blocker into a competitive advantage.
- Simplifying client migration by leading technical discovery for a Fortune 500 publisher, mapping their legacy content structure into our knowledge graph and cutting their timeline by 50%.
- Designing a voice-based assessment mode using the latest speech-to-text models, validating with 3 enterprise clients, and shipping to production in 10 days.
- Improving client capability by conducting a technical workshop for an enterprise partner's team, training 15 SMEs on AI-assisted content authoring workflows.
- Driving rapid delivery by translating ambiguous client requirements into a scoped technical spec and 1-page PRD, then shipping the solution end-to-end in 2 weeks.
- Partnering across Platform and AI teams to diagnose and resolve a critical performance issue hours before a client's product launch.
🤝 You might be a fit if you…
- Can teach a course on building and scaling APIs, relational and graph data modeling, and event-driven systems.
- Have deep expertise in modern frontend development using React, performance tuning, and UI state management.
- Apply design patterns and software engineering principles to real-world problems.
- Have used LLMs and frameworks like LangGraph in production.
- Design systems that balance velocity with extensibility.
- Can translate ambiguous customer problems into scoped technical solutions without hand-holding.
- Write 1-page PRDs before dev starts for cross-team work.
- Maintain Linear projects with clear milestones and success metrics.