Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As an AI Product Engineer, you will develop and deploy LLM-powered language learning products, enhance existing features, and collaborate cross-functionally to optimize performance and user experience.

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

Lead engineering teams at Speak, focusing on AI-driven language learning solutions. Manage engineers, drive technical transformation, and collaborate closely with product and design 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 product strategy and architecture for Speak’s memory and personalization systems. Define learner-state models, interfaces across assessments, content, voice, and AI platforms. Create cross-team product artifacts, instrumentation, and quality loops to improve learning outcomes and recommendations. Drive company-level outcomes from a Memory & Personal Intelligence product scope.

Lead the enterprise product strategy and roadmap for Speak for Business, building launch, admin, activation, reporting, assessment, and expansion systems. Drive customer discovery, turn recurring requests into reusable product primitives, reduce manual CS/GTM effort, and define enterprise readiness metrics like activation, completion, and renewal evidence.

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.