Speak

Full-stack Engineer

• Leading growth-focused projects that drive user excitement and large-scale engagement
• Designing and building AI-driven web experiences
• Collaborating closely with cross-functional partners across product, design, and marketing to deliver high-impact initiatives
• Enhancing the architecture, reliability, and development patterns of our full-stack web application through incremental improvements

Senior Full-stack Engineer

Growth Marketing

• Campaign Management: Execute, monitor, and optimize campaigns to hit LTV:CAC and subscriber goals.
• Creative Testing: Partner with design to test and iterate creative assets at a high velocity.
• Data Analysis: Monitor performance daily to drive optimization and learnings.
• Collaboration: Work cross-functionally with Central, Design, Analytics, and Content to align strategies and maximize output.
• Strategic growth initiatives: testing, discovering, and managing new growth channels to drive user acquisition

Growth Marketing Manager

Analytics Engineer

• Build and Optimize Data Infrastructure: Manage and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to ensure efficient data flow and processing.
• Enable Data-Driven Decisions: Develop data models and metrics that facilitate critical analysis for business decisions.
• Empowerment: Proactively evaluate and evolve our tool stack to support stakeholders to make answering questions with data as frictionless as possible.
• Collaboration and Systems Thinking: Partner with product managers, analysts, and other engineers to design data solutions and processes for business needs.

Senior Analytics Engineer

Business Operations

• Own strategy-to-execution plan for a defined area within Learning & Curriculum: define goals, sequencing priorities, and driving measurable outcomes end-to-end
• Lead curriculum analytics & experimentation in close partnership with Product Analytics: design, launch, and analyze experiments, cascade insights, invest in tooling to drive a data-driven culture within Learning & Curriculum
• Ensure Learning & Curriculum roadmap runs smoothly across languages, with clear prioritization, high experiment velocity, and timely execution translating to measurable impact on learner outcomes
• Introduce and scale systems and processes that improve team efficiency and quality
• Collaborate cross-functionally with Product, Engineering, and Analytics to deliver high high-quality learner experience
• Be a trusted partner to Learning Designers, bringing product, analytics, and operations expertise

Senior Business Operations Analyst

Designer

• Lead the design and delivery of high-impact, custom B2B curricula tailored to enterprise client needs.
• Translate client requirements into project plans, curriculum outlines, lesson briefs, and content deliverables.
• Serve as the primary point of contact for all B2B content-related matters.
• Establish and enforce a rigorous quality assurance framework, acting as the final gatekeeper for accuracy, pedagogy, and engagement.
• Continuously refine content processes, templates, and standards based on feedback and best practices.
• Manage and mentor a network of freelance content creators, editors, and QA specialists.
• Provide constructive feedback and ensure freelancers deliver consistent, high-quality output.
• Partner with Sales, Customer Success, and Operations to align content with client goals and learner profiles.
• Collaborate with leadership on content strategy and expansion opportunities.
• Streamline workflows, implement operational efficiencies, and scale the content function sustainably.
• Develop a library of reusable curriculum components to accelerate future course development.
• Analyze curriculum performance and incorporate client/learner feedback into improvements.
• Leverage internal AI-powered course tools to maximize efficiency and creativity.
• Partner closely with the product team by providing structured feedback on AI content generation tools (e.g., KEITH), ensuring technology continually reduces manual work.

Lead Learning Designer

Recruitment

• Schedule and coordinate interviews across APAC and global time zones with precision
• Act as the primary point of contact for candidates, ensuring a professional, responsive, and welcoming experience
• Manage job postings and inbound applications across external hiring platforms (Wanted, Wantedly, etc.)
• Source candidates proactively through LinkedIn and other channels; run outbound sequences and build targeted talent pools
• Support recruiting operations projects: refine workflows, standardize documentation, and implement scalable systems
• Assist with employer brand initiatives and other ad hoc recruiting projects, including candidate experience improvements and recruiting events

Associate Recruiter, APAC

Content Marketing Manager

• 制定並執行社群操作策略，設立明確的目標、時程、KPI，以及基於數據的操作策略。
• 主導社群活動規劃與執行，包含口碑推廣計畫，確保與 2026 品牌目標一致。
• 嘗試多元社群內容，透過各種測試來優化訊息、形式與互動方式。
• 追蹤與分析表現，具備數據解讀能力，透過反覆測試和持續迭代，提升品牌在社群上的聲量。
• 塑造並傳遞品牌故事，有品牌認知及說故事的能力，能成功在社群管道引起共鳴。
• Develop and execute Owned Social strategies, with clear goals, timelines, KPIs, and investment rationale backed by data.
• Lead campaign planning and execution, including word-of-mouth initiatives, ensuring alignment with 2026 brand goals.
• Experiment with social content, launching various tests to refine messaging, formats, and engagement tactics.
• Track and analyze performance, extracting insights to inform iteration and improve ROI on brand investments.
• Shape and deliver brand narratives, ensuring consistency across channels and resonance with local audiences.

Brand & Content Marketing Manager

Product Analyst

• Drive product strategy by proposing and conducting quantitative research into key user behaviors and trends, in partnership with product managers, engineers, designers, and other team members
• Design new features and inform the product roadmap through analysis, e.g., help define metrics for every stage of the user journey (onboarding, conversion, engagement, retention)
• Build and maintain core company data events and tables
• Build and maintain company-level product and business dashboards
• Design and analyze A/B tests, market-based tests, etc. and conduct other forms of causal inference to help us rigorously learn about our users
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights

Lead Product Analyst

Data Scientist

• Own and evolve Speak’s global marketing analytics function, including dashboards, attribution, experimentation, and incrementality/MMM.
• Partner with growth globally teams to guide investment decisions across performance, CRM, brand (TV, OOH), ASO/SEO, influencer, and offline channels.
• Design and manage the analytics infrastructure that supports accurate, fast, and scalable insights across markets and platforms
• Build and operationalize frameworks for measuring CAC, LTV, ROI, incrementality, and media efficiency.
• Accelerate experimentation velocity by supporting the design, execution, and analysis of A/B and market-level tests across creatives, lifecycle, and product surfaces.
• Collaborate cross-functionally with product, engineering, and finance teams to identify levers for acquisition, retention, and monetization.
• Shape forward-looking strategy by analyzing media fatigue, market saturation, and competitive benchmarks.
• Hire and mentor junior team members, scaling the team alongside the business