Jobs at Speak

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.

Own full-cycle enterprise sales for Speak for Business in the US: build pipeline via outbound/inbound, run discovery and value selling with executives, manage 3–12 month complex deals, create account plans, collaborate cross-functionally, and strengthen senior relationships through in-person meetings and networking to drive new ARR and expansion.

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.

The Senior Finance Analyst will enhance analytical work, run planning cycles, and partner with leaders to create measurable financial plans and insights.

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.

Lead and build a global performance creative function: create shared operating systems, test-and-learn infrastructure, and creator/UGC engines; partner with market teams to raise creative performance across paid, organic, influencer, and landing pages; manage agency and in-house production relationships; introduce AI creative tools; and steward brand integrity across high-volume testing and growth channels.

Serve as a strategic analytics partner across functions to frame ambiguous business questions, drive board-level analysis, own core metrics and unit-economics, connect Finance and Marketing, and enable self-serve and AI-assisted analytics for decisions that shape company strategy.

Own day-to-day accounting and a 5-business-day close in Campfire, improve workflows and automations, manage end-to-end P2P and T&E, handle global contractor payments, maintain transaction integrity, support external audits, drive cost-of-revenue and AI initiatives, and partner on systems and market expansion projects.

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.

As a Staff Product Designer, you'll shape AI-driven language learning experiences, collaborating with teams to create innovative features across web and mobile platforms.

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.

You will build and maintain assessment ML systems, define evaluation frameworks, and collaborate with design teams to improve language proficiency assessments.