Location: Singapore Department: B2B Marketing Report to: VP of Revenue About us: Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore, Ho Chi Minh, Hanoi, and Sao Paulo. ELSA is at the forefront of AI-driven language learning innovation, transforming how people worldwide enhance their English-speaking skills. Vietnam. With over 50 million users and 1 billion hours of anonymized English audio data, ELSA’s depth of data and ability to improve English communication skills is unmatched. ELSA’s hyper-personalized learning paths adapt to users’ goals and interests, making learning engaging and effective. Business learners have industry and role-based learning, enabling them to improve their English daily at work. ELSA is backed by leading investors including Gradient Ventures - Google’s A.I. fund, Monk's Hill Ventures and Global Ventures. ELSA’s vision is to transform lives and organizations through effective spoken English. What you’ll do: Lead B2B go-to-market (GTM) and demand generation strategy. Build B2B global lead generation and full-funnel campaigns. Collaborate with Sales, Product, and Leadership teams. Manage a growing B2B marketing team. Own campaign performance, CAC/LTV, and pipeline growth. What you bring: 8+ years of experience in leading B2B SaaS marketing, preferably with global reach. Proven track record of success in multi-channel lead generation and CRM automation. Strong analytical, creative, and strategic thinking skills. Experience in EdTech, HR tech, or mobile SaaS is a plus. Why ELSA? Impactful mission in global education Cross-cultural, high-performing team Competitive salary + equity Remote flexibility + startup velocity Show more Show less
Location: India Team: Data Science Report to: VP of Product, Data & Engineering About us: Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI-driven language learning platform delivers hyper-personalized learning paths for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient Ventures - Googles A.I. fund, Monk's Hill Ventures and Global Ventures. Role & Responsibility: We are seeking a highly experienced and driven Director of Data to join our rapidly growing Data Science team. In this role, you will: Lead experimentation: Design and evaluate A/B tests, multivariate tests, and other causal frameworks to inform product and marketing decisions. Build a culture of learning: Champion a test-and-learn mindset across the company and enable others to generate hypotheses and iterate rapidly. Partner cross-functionally: Collaborate closely with Product, Marketing, B2B, Finance, Growth, and Engineering to frame questions, prioritize analysis, and deliver clear, actionable insights. Own data-driven decision-making: Develop and refine key metrics, define success criteria, and surface tradeoffs. Deliver insights: Conduct deep dives on user behavior, funnel conversion, retention, pricing, and feature adoption. Also, inform the business on insights for pipeline trends, learner behavior etc. Enable scale: Work hands-on with data pipelines, define experimentation frameworks, and contribute to analytics infrastructure. Requirements: 5-8+ years of experience in Data Science, Decision Science, or Analytics roles, ideally in consumer tech and SaaS. Proven experience running and analyzing experiments at scale (A/B testing, Bayesian methods, uplift modeling, etc.). Strong SQL and Python (or R) skills; comfort with data modeling and visualization (e.g., dbt, Looker, Mode, Tableau). Deep understanding of statistics, causal inference, and hypothesis-driven analysis. A storyteller: can distill complex data into simple, compelling narratives that drive action. Prior leadership experience or readiness to build and lead a small but mighty team. Bonus: exposure to product analytics tools (e.g., Amplitude, Looker), marketing data, or growth analytics. English proficiency. Why join ELSA? Competitive compensation. Remote work. Free ELSA Premium courses to polish your language skills. Show more Show less
Location: India Team: Data Science Report to: VP of Product, Data & Engineering About us: Founded in 2016, ELSA harnesses the power of generative AI to improve English communication skills globally with headquarters in San Francisco and offices in Lisbon, Tokyo, Jakarta, Singapore and Vietnam. With over 50 million users and 1 billion hours of anonymized data, our AI-driven language learning platform delivers hyper-personalized learning paths for both businesses and individuals, transforming lives and organizations through effective spoken English. ELSA is backed by leading investors including Gradient Ventures - Google’s A.I. fund, Monk's Hill Ventures and Global Ventures. Role & Responsibility: We are seeking a highly experienced and driven Director of Data to join our rapidly growing Data team. In this role, you will: Lead experimentation: Design and evaluate A/B tests, multivariate tests, and other causal frameworks to inform product and marketing decisions. Build a culture of learning: Champion a test-and-learn mindset across the company and enable others to generate hypotheses and iterate rapidly. Partner cross-functionally: Collaborate closely with Product, Marketing, B2B, Finance, Growth, and Engineering to frame questions, prioritize analysis, and deliver clear, actionable insights. Own data-driven decision-making: Develop and refine key metrics, define success criteria, and surface tradeoffs. Deliver insights: Conduct deep dives on user behavior, funnel conversion, retention, pricing, and feature adoption. Also, inform the business on insights for pipeline trends, learner behavior etc. Enable scale: Work hands-on with data pipelines, define experimentation frameworks, and contribute to analytics infrastructure. Requirements: 8+ years of experience in Data Science, Decision Science, or Analytics roles, ideally in consumer tech and SaaS. Proven experience running and analyzing experiments at scale (A/B testing, Bayesian methods, uplift modeling, etc.). Experience with GenAI. Strong SQL and Python (or R) skills; comfort with data modeling and visualization (e.g., dbt, Looker, Mode, Tableau). Deep understanding of statistics, causal inference, and hypothesis-driven analysis. A storyteller: can distill complex data into simple, compelling narratives that drive action. Prior leadership experience or readiness to build and lead a small but mighty team. English proficiency. Bonus: exposure to product analytics tools (e.g., Amplitude, Looker), marketing data, or growth analytics. Why join ELSA? Competitive compensation. Remote work. Free ELSA Premium courses to polish your language skills.
Location: India (Remote-first) — also open to Singapore (Remote-first) or Vietnam (Hybrid working) Reports to: Director, B2C Revenue & Growth About ELSA Founded in 2016, ELSA is an AI-powered English communication coach on a mission to help 1.5B+ learners worldwide speak English with confidence. Headquartered in San Francisco with offices in Lisbon, Tokyo, Jakarta, Singapore, Ho Chi Minh, Hanoi, and São Paulo, ELSA leads innovation in AI-driven language learning. With 60+ million users in 190+ countries and over 1 billion hours of anonymized English audio data , our platform delivers unmatched hyper-personalized learning paths tailored to each user’s goals and context. We are backed by leading investors including Gradient Ventures (Google’s AI Fund), Monk’s Hill Ventures, and Global Ventures. About the role We’re looking for a strategic, results-driven leader to own subscription growth and monetization for our core consumer business. This role requires a blend of analytical thinking, growth intuition, and hands-on execution to scale revenue and retention in a fast-moving environment. If you thrive on ambiguity, move fast, and can take ideas from zero to scale — this is for you. Key Responsibilities Take proactive ownership of subscription growth and monetization for ELSA’s core consumer business, ensuring revenue targets are achieved. Oversee end-to-end optimization of the subscription funnel, from install → onboarding → monetization → retention. Design and execute go-to-market strategies for new product features, campaigns, and market launches. Conduct in-depth market, user, and competitor research to identify high-potential growth opportunities. Collaborate closely with Product, Design, Marketing, and Executive teams to deliver impactful cross-functional initiatives. Lead growth projects from inception to scale, ensuring measurable impact on revenue and retention. Establish performance metrics, monitor results, and iterate strategies based on data-driven insights. Who is our ideal candidate? An MBA is preferred, with a Tier 1 academic background. 4–8 years of relevant experience in consulting, high-growth startups (0→1 or scale-up), or fast-paced consumer/interest tech companies. Demonstrated P&L ownership and proven track record of driving subscription growth at scale. Ability to work seamlessly across strategy, analytics, go-to-market execution, and business operations. Strong stakeholder management skills, with confidence engaging C-level executives across borders. A growth-oriented mindset, thriving in fast-moving, ambiguous environments. Excellent verbal and written communication skills. What We Offer Flexible work setup: Remote-first for India and Singapore; hybrid model for Vietnam. Comprehensive employee well-being benefits. Free ELSA Premium courses to polish your language skills Collaborative, international team culture. Opportunity to contribute to a fast-growing, well-funded Silicon Valley startup with global impact. How to Apply Please send your resume to rachel.dang@elsanow.io with the subject line: Business Growth & Monetization Lead [Your Name]. We would love to see your application.
Location: India (Remote-first) — also open to Singapore (Remote-first) or Vietnam (Hybrid working) Reports to: Director, B2C Revenue & Growth About ELSA Founded in 2016, ELSA is an AI-powered English communication coach on a mission to help 1.5B+ learners worldwide speak English with confidence. Headquartered in San Francisco with offices in Lisbon, Tokyo, Jakarta, Singapore, Ho Chi Minh, Hanoi, and São Paulo, ELSA leads innovation in AI-driven language learning. With 60+ million users in 190+ countries and over 1 billion hours of anonymized English audio data , our platform delivers unmatched hyper-personalized learning paths tailored to each user’s goals and context. We are backed by leading investors including Gradient Ventures (Google’s AI Fund), Monk’s Hill Ventures, and Global Ventures. Key Responsibilities Lead the design, execution, and analysis of pricing and packaging experiments across product and marketing touch-points. Determine optimal price points for new and existing SKUs using structured experimentation and data-driven insights. Collaborate with Product, Marketing, Analytics, and Design to define and execute the pricing roadmap. Conduct deep market, user behavior, and competitive research to inform pricing strategies. Optimize the subscription funnel by identifying and implementing data-backed improvements. Translate research and experimentation results into actionable monetization opportunities. Monitor performance metrics and continuously refine pricing models for maximum revenue impact. What You Will Have 3–5 years of experience in pricing, growth, strategy, or analytics roles, ideally in high-growth startups, consumer tech, or top-tier consulting/analytics firms. Tier 1 academic background, ideally with a degree in engineering, mathematics, economics, or business. Strong understanding of pricing methodologies (e.g., value-based, discounting, skimming) and packaging strategies. Hands-on experience with experimentation frameworks (A/B testing, multivariate testing). Bonus: Familiarity with analytics tools such as Amplitude, Looker, or similar platforms. Proven ability to work cross-functionally and thrive in fast-paced, ambiguous environments. Excellent problem-solving, analytical, and communication skills. What We Offer Flexible work setup: Remote-first for India and Singapore; hybrid model for Vietnam. Comprehensive employee well-being benefits. Free ELSA Premium courses to polish your language skills Collaborative, international team culture. Opportunity to contribute to a fast-growing, well-funded Silicon Valley startup with global impact.
Team: Revenue Operations Reporting to: Revenue Operations Director About ELSA ELSA is a global leader in AI-powered English communication training, dedicated to transforming how people learn and speak English with confidence. Founded in 2016 and headquartered in San Francisco, we operate across the U.S., Vietnam, Portugal, Indonesia, Brazil and Japan. Powered by proprietary speech-recognition technology and generative AI, ELSA delivers real-time, hyper-personalized feedback to help learners improve pronunciation, fluency, and overall communication effectiveness. With over 50 million learners and 1 billion hours of anonymized speech data , ELSA’s depth of language training intelligence is unmatched in the industry. Our B2B flagship platforms — ELSA Enterprise and ELSA Schools — empower organizations and educational institutions to elevate communication capabilities and unlock personal and professional opportunities for their people. We design engaging, bite-sized learning experiences that adapt to each learner’s goals and context, ensuring measurable improvement and lasting confidence. Our vision is to become the global standard for real-time English communication training, enabling 1.5 billion language learners worldwide to speak clearly, be understood, and share their stories with the world. Backed by world-class investors including Google’s Gradient Ventures, Monk’s Hill Ventures, and SOSV , ELSA has been recognized among the top global AI innovators: Forbes – Top 4 Companies Using AI to Transform the World Research Sniper – Top 5 Best AI Apps ASU+GSV EdTech 150 CB Insights Top 100 AI Companies Join us in shaping the future of language learning and empowering millions to unlock opportunity through confident communication. Job overview: ELSA is seeking a skilled Revenue & AI Systems Architect to join our Revenue Operations team. This individual will own the design, development, and optimization of our B2B revenue engine by orchestrating the entire tech stack and embedding AI across workflows. The role sits at the intersection of systems architecture, AI operations, data engineering, and business processes — ensuring our revenue engine is not only efficient, but also intelligent, adaptive, and scalable. Key Responsibilities AI & System Orchestration Lead the technical implementation of AI tools and agents to boost automations across the B2B revenue engine; Integrate and orchestrate the entire B2B tool stack, ensuring seamless data flow and process excellence across all platforms; Contribute to the strategic roadmap and evolution of the B2B tech stack, providing expert support to B2B leadership and identifying opportunities for AI-powered optimization and innovation; Partner with Sales, Customer Success, Marketing, Product, and Finance leadership to build automations, tooling, and integrations to reduce manual work and accelerate growth; Manage vendor relationships, monitor market development, and continuously optimize the tool stack to ensure process and cost efficiency; Serve as the bridge between AI capabilities and revenue systems, ensuring that AI initiatives are directly tied to measurable business outcomes. CRM & Automation Development Build and maintain complex automation workflows in HubSpot and leveraging AI not only to enhance lead scoring and routing, but also to design predictive, adaptive workflows that continuously improve with data; Lead technical implementation of systems aimed to improve operational excellence (such as CPQ, CMS, ERP, PMS); Reduce reliance on manual updates for operational workflows by building robust, scalable systems within the B2B stack. Apply best practices of change management to ensure the timely completion of implementation projects. Data & Reporting Excellence Partner with the Data team to integrate AI-driven insights into dashboards and reporting, enabling real-time, proactive decision-making. Ensure clean, complete, and accurate data across B2B tools to facilitate accurate real-time reporting. What You Will Have Must-Haves: 3+ years of experience in system orchestration, ideally within a SaaS environment. Proven experience in building end-to-end automations, system integrations, and AI-powered automation, and APIs that facilitate seamless data flow across the entire tech stack. Hands-on experience in deploying AI agents, prompt engineering, and orchestrating AI workflows into core RevOps processes, utilizing external AI APIs to solve specific business problems. Hands-on experience with modern automation platforms like Zapier, Make, Tray.io, or Retool. Experience in CRM development, optimization, and data quality control. Logical thinking and problem-solving, a process optimization mindset, and high attention to detail. Strong project management and change management skills. Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse business stakeholders. Nice-to-Have: Experience with HubSpot (Sales, Marketing, Service, Operations Hubs) Experience with quoting engines, billing systems, or CPQ tools. Familiarity with data warehouses and ETL pipelines principles. Understanding of SaaS principles, challenges, and best practices. Python knowledge to write custom scripts for data transformations or to interact with APIs. AI tool familiarity LangChain, LLM orchestration frameworks, RAG pipelines, etc. What We Offer Flexible work setup: Remote-first for Indonesia, Malaysia, Thailand, Taiwan, US; hybrid model for Vietnam. Comprehensive employee well-being benefits. Free ELSA Premium courses to polish your language skills Collaborative, international team culture. Opportunity to contribute to a fast-growing, well-funded Silicon Valley startup with global impact. How to Apply Please send your resume to rachel.dang@elsanow.io with the subject line: AI-Powered RevOps Systems Architect [Your Name]. We would love to see your application.
Reporting to: Director of Data Science About ELSA ELSA is a global leader in AI-powered English communication training, dedicated to transforming how people learn and speak English with confidence. Founded in 2016 and headquartered in San Francisco, we operate across the U.S., Vietnam, Portugal, Indonesia, Brazil and Japan. Powered by proprietary speech-recognition technology and generative AI, ELSA delivers real-time, hyper-personalized feedback to help learners improve pronunciation, fluency, and overall communication effectiveness. With over 50 million learners and 1 billion hours of anonymized speech data, ELSAs depth of language training intelligence is unmatched in the industry. Our B2B flagship platforms ELSA Enterprise and ELSA Schools empower organizations and educational institutions to elevate communication capabilities and unlock personal and professional opportunities for their people. We design engaging, bite-sized learning experiences that adapt to each learners goals and context, ensuring measurable improvement and lasting confidence. Our vision is to become the global standard for real-time English communication training, enabling 1.5 billion language learners worldwide to speak clearly, be understood, and share their stories with the world. Backed by world-class investors including Googles Gradient Ventures, Monks Hill Ventures, and SOSV, ELSA has been recognized among the top global AI innovators: Forbes Top 4 Companies Using AI to Transform the World Research Sniper Top 5 Best AI Apps ASU+GSV EdTech 150 CB Insights Top 100 AI Companies We’re building the next evolution of our AI stack — agentic AI systems that can interact with real-world data, tools, and workflows in production. To help us design, scale, and operate this platform, we’re looking for a Senior Data Platform Engineer to join our team. Job overview: As a Senior Data Platform Engineer — Agentic AI, you will design and implement the platform foundation for AI agents operating on real-world data and services at scale. This role sits at the intersection of Data Engineering, Backend Systems, and Applied AI — ideal for engineers who love ownership, reliability, and solving hard platform problems. You will work closely with Data Science, Product, and Engineering to take agentic AI from prototype to secure, observable, production-grade systems. This role is ideal for engineers who enjoy building production systems, collaborating cross-functionally, and owning end-to-end platform reliability — rather than focusing primarily on research or prototypes. What You'll Do Design and build scalable, reliable data pipelines and feature stores that power AI/ML & agent workflows Productionize Agentic AI systems (tool-using LLM agents, workflow orchestration, retrieval, context management, guardrails) Implement data-centric AI engineering best-practices: lineage, governance, testing, monitoring Build server-side APIs, microservices & orchestration layers supporting AI agent workflows Optimize data processing, storage, caching & latency across structured and unstructured data Deploy and operate workloads across cloud environments (AWS/GCP/Azure) Partner with ML engineers to enable experimentation, CICD, and observability for AI systems Own platform reliability: performance tuning, alerting, SLAs Establish security & compliance standards for AI-data interactions Act as a senior technical contributor & mentor within the team You'll Be Great In This Role If You Have: Core Experience (Required) 5+ years in Data/Platform/Backend Engineering Strong foundations in data engineering concepts — batch, streaming, schema design, ETL/ELT, orchestration Hands-on experience with Python or Node.js (server-side scripting) Expertise with SQL + modern data warehouses/lakes Experience building & maintaining production systems at scale Strong command of cloud platforms & containerization (Docker, Kubernetes etc.) Agentic AI & AI Platform Experience (Preferred): You don't need to be a researcher — but you understand how this runs in PROD Working knowledge of LLM orchestration frameworks (LangChain, LlamaIndex, DSPy etc.) RAG pipelines & vector databases Agent-tool execution & sandboxing Prompt/response handling Experience deploying AI services behind APIs / microservices Understanding of model & data governance, cost management, safety & guardrails Bonus Skills Experience with: Airflow / Prefect / Dagster Spark / Flink / distributed compute Snowflake / BigQuery / Redshift Feature stores / ML pipelines Data observability platforms Experimentation platforms (AB testing) Soft Skills We Value Bias for action & ownership mindset Product-thinking and customer empathy Ability to collaborate across data science, product & engineering Comfort balancing speed with engineering rigor Clear & structured communication What We Offer Work with a lean, high-impact Data & AI team Ownership, autonomy & visibility Supportive learning culture Competitive compensation & benefits Opportunity to shape the next-gen AI data platform Comprehensive employee well-being benefits. Free ELSA Premium courses to polish your language skills Opportunity to contribute to a fast-growing, well-funded Silicon Valley startup with global impact.