ELSA, Corp

• Conduct thorough market research to identify key trends, competitor landscape, and potential opportunities in the education technology sector in Thailand. • Formulate short-term and long-term goals, outlining specific milestones and success metrics. • Identify and establish strategic partnerships with local educational institutions, government bodies, and key stakeholders to enhance market penetration. • Develop a robust pipeline of opportunities with potential B2B clients (companies, schools, english center) in Thai, through traditional approaches (such as cold/warm calls and emails, networking) and creative marketing campaigns (in collaboration with marketing team) to drive revenue growth. • Collaborate with the product team and customer support team to deliver customized product solutions and satisfactory services. • Regularly track and report on key performance indicators (KPIs) related to business development and market expansion.

• Join the AI Infrastructure & Platform team to build, operate, and scale the production systems that power ELSA’s APIs, platform services, and AI-enabled applications. • This Senior Site Reliability Engineer / API Platform Engineer role bridges software engineering, cloud infrastructure, and operational excellence, requiring a pragmatic, highly productive individual who can use modern AI tools and automation to accelerate delivery and improve reliability. • Collaborate closely with engineering, AI, and product teams to ensure our services are secure, scalable, observable, and resilient in real-world production environments. • Design, build, and operate reliable, scalable infrastructure for APIs, platform services, and AI-enabled applications on AWS and Kubernetes. • Own and enhance CI/CD pipelines, deployment workflows, and operational tooling to enable safe and fast software delivery. • Build and maintain robust observability systems across metrics, logging, tracing, alerting, and service health. • Lead incident response, root cause analysis, postmortems, and remediation efforts to continuously improve production reliability. • Automate repetitive operational work through software, infrastructure-as-code, and AI-assisted workflows. • Use AI-native engineering tools including copilots, intelligent automation, and agentic operational tooling to improve debugging, response time, analysis, and team productivity. • Partner with backend, platform, and AI engineering teams to productionize new services and ensure they meet reliability, security, and scalability standards. • Optimize infrastructure and runtime performance across latency, throughput, availability, and cost. • Define and enforce engineering standards for reliability, security, observability, and operational excellence across services. • Contribute production-grade software and internal tools that reduce toil and improve platform leverage across the organization.

• Lead strategic relationships with our ELSA's Partners to support book of business growth • Hit retention and growth targets through active management of partner success • Build and document repeatable playbooks and best practices for scaling partner success operations • Serve as the primary point of contact for our strategic partners, managing day-to-day communications, conducting weekly meetings to go through demands and priorities • Manage and own communication between our strategic partners and our internal teams to ensure tasks and projects are moving forward. Ensure high-quality, on-time delivery of partner-delivered projects at scale, maintaining accountability for customer satisfaction, project outcomes, attach rates, and revenue performance across the partner portfolio • Build and maintain a partner enablement strategy, aligning programs and initiatives with business priorities. • Collaborate with cross-functional stakeholders including Sales, Customer Success, Partner Sales, and internal Professional Services teams to align partner delivery with business objectives

• Own design for key product areas (typical: onboarding, home, lesson flows, AI coaching surfaces, paywall/subscription, retention loops). • Turn fuzzy problems into shippable solutions: user journeys, wireframes, prototypes, final UI, specs. • Partner daily with PM + Engineering (India-based) to define scope, constraints, and tradeoffs. • Run lightweight discovery and validation (Maze tests, usability tests, surveys, funnel review) and iterate based on evidence. • Maintain and extend the design system (components, patterns, accessibility, states). • Ensure clean handoff: redlines/specs, edge cases, QA, post-launch check-ins. • Communicate clearly in async: Looms, concise docs, decisions + rationale.