Jobs at Speak

Lead design for a major consumer product area focused on growth or core AI-powered language learning. Set experience vision, identify opportunities, prototype new AI interaction patterns, partner with Product and Engineering, use qualitative and quantitative insights, lead cross-functional collaboration, and mentor designers. The role requires strong consumer product judgment, hands-on craft, user empathy, AI-native workflows, and the ability to shape strategy amid ambiguity.

Lead product strategy for AI-powered learning technology spanning voice, AI platforms, evaluations, learner memory, and generated-content quality. Partner with founders, engineering, research, and learning teams to make build-versus-buy decisions, bring prototypes into production, measure real-world learner impact, and improve reliability, latency, quality, and cost. Hire, coach, and manage PMs across multiple technical product areas while retaining ownership of key shared AI systems and evaluations.

Lead engineering strategy and execution for a global B2B enterprise language-learning product. Manage and mentor engineers, oversee mobile, web, and custom integration development, partner with Product and Design, guide AI-powered feature integration, and ensure scalable, secure platforms. The role requires strong full-stack expertise, enterprise product experience, technical leadership, and cross-functional communication.

Own the reliability and architecture of Speak’s subscription payment systems across Paddle, RevenueCat, Stripe, and mobile app stores. Build provider integrations, ensure idempotent webhooks and reconciliation, implement monitoring and runbooks, lead incident response, and establish payment engineering standards. Partner with growth, product, finance, and support on monetization and reporting while mentoring engineers and defining the payments roadmap.

Build and own full-stack enterprise features for Speak’s B2B product, including partner portals, admin dashboards, reporting, subscriptions, billing, and learner experiences. Design APIs, backend services, and multi-tenant data models; integrate authentication, entitlements, CRM, billing, and analytics. Collaborate cross-functionally, ensure privacy, security, observability, and data integrity, contribute to AI-assisted development workflows, and mentor engineers.

Own the strategy and roadmap for learning outcomes and proficiency. Research learner and B2B customer needs, evaluate progress signals, and ship assessment, feedback, and personalization improvements. Define standards for accuracy, trust, transparency, and actionability while partnering with Engineering, Analytics, Learning, Design, and B2B teams. Use user research and product data to make focused decisions and measure product impact.

Own the product roadmap for AI-powered content generation and quality systems. Design authoring, generation, QA, evaluation, human review, and content improvement workflows. Define quality gates and launch criteria for AI-generated lessons and feedback, while connecting learner behavior and expert feedback to generation improvements. Partner with curriculum, AI, engineering, product, and learning teams to scale content production with strong quality and pedagogical standards.

The Senior Backend Engineer will develop AI-powered language learning products, focusing on backend systems while coordinating with design and machine learning teams.

The role involves training and deploying ASR models, improving pronunciation feedback, measuring performance, and expanding ASR systems for language learning.

Technical lead for the Discovery pod building web acquisition and purchase journeys. Design and implement full-stack features (frontend, backend, auth, payments, billing, entitlements), own integrations with analytics and CRM, ensure security/observability/quality, mentor engineers, and enable AI-assisted contributors to ship safely while protecting conversion and revenue.

Design end-to-end consumer experiences for an AI-powered language learning app: define strategy, prototype AI and voice interactions, improve onboarding, habit formation, feedback and subscription flows, partner with Product, Engineering, Research and Data, and use qualitative and quantitative insights to inform product decisions.

Lead design-system efforts across iOS, Android, and web. Improve design↔engineering workflow, define component semantics and naming, drive adoption and documentation, build QA and AI-assisted consistency checks, and prototype components in real product contexts to ensure accessibility, scale, and product usefulness.

Localize Speak’s in-app learning and marketing content into Traditional Chinese, translate from Japanese, and create Japanese learning materials for Traditional Chinese learners. Responsibilities include translation, pedagogical editing, QA, lesson and vocabulary development, content project support, script uploads, and collaboration with international teams. The role requires native Traditional Chinese, near-native Japanese, translation expertise, Japanese teaching or curriculum experience, strong English proficiency, and interest in AI-assisted language learning.