Clare.AI Limited

About Wati Started as a WhatsApp team inbox in 2020, Wati has evolved into an AI-powered customer engagement platform that goes beyond a single channel. Designed for businesses that sell, support, and grow through conversations, Wati observes customer intent in real time, decides the next best revenue action, and executes it across marketing, sales, and support — on WhatsApp, Instagram, Facebook, TikTok, SMS, and more. Trusted by over 16,000 customers across 190+ countries, Wati simplifies complex operations and business conversations with a unified inbox, no-code automation, and our intelligent AI layer, Astra. Proudly backed by Tiger Global, Sequoia Capital, DST Global, and Shopify, and recognised as a Premium Partner of Meta and Google. Wati, the AI-Powered Customer Engagement Platform for Revenue Growth. About the Role We are looking for a Senior Agentic Engineer to join the Enterprise team at WATI — one of the largest WhatsApp Business API SaaS platforms globally, serving tens of thousands of businesses. You will own core backend features end-to-end: from requirement analysis and technical design through implementation and production monitoring. The work spans analytics APIs, messaging infrastructure, multi-tenant data pipelines, and AI-powered automation tooling. You will also use AI coding agents to deliver scoped frontend changes when needed. This role requires strong proficiency with AI coding agents—preferably Codex and Cursor, followed by Claude Code, GitHub Copilot, or comparable tools—as a force multiplier in daily engineering work, not as a novelty but as a core part of the workflow. What You Will Do Design and implement backend features for a multi-tenant SaaS platform (WhatsApp Business messaging, broadcast, automation, analytics) Own technical designs and drive cross-repo coordination across backend, frontend, messaging services, and billing; use AI coding agents to implement and validate frontend changes when needed Debug complex production issues across distributed systems (async job chains, webhook pipelines, multi-tenant data flows) Build and use AI agents to accelerate engineering workflows—including requirement analysis, code generation, code review, testing, debugging, and documentation Collaborate directly with PM, CS, and international engineering teams in English What We’re Looking For 5+ years of software engineering experience, with strong backend development skills (language agnostic): C#/.NET, Go, TypeScript, Python, all acceptable Experience designing APIs, data models, and async workflows for multi-tenant SaaS systems Proven ability to debug and resolve complex issues across multiple services, queues, and databases in production Demonstrated ability to use AI coding agents as a core part of daily development—including delivering production-quality frontend changes when backend is the primary strength. Preferred tool experience: Codex, Cursor, Claude Code, GitHub Copilot, or comparable tools are also valuable Experience with AI agent architectures, tool calling, MCP, or LLM-based workflow orchestration is a strong plus Experience with .NET / C#, MongoDB, or Google Cloud (Pub/Sub, BigQuery, AlloyDB) is a strong plus Domain experience in messaging, IM, customer support platforms, or WhatsApp Business API is a strong plus Professional working proficiency in English — able to read/write technical documents and collaborate with international teams Strong problem-solving ability and comfort working in a fast-paced, globally distributed environment What we evaluate: Agent design & architecture — Is the LLM-to-API mapping clean and extensible? API understanding — Did the candidate correctly grasp API semantics and relationships? Product thinking & UX — Edge case handling, confirmation flows, error recovery Code quality — Readable, well-organized, appropriately abstracted Write-up & communication — Clear reasoning, well-articulated trade-offs Full assignment brief with API reference and sandbox credentials will be provided to shortlisted candidates. Why WATI One of the largest WhatsApp Business API platforms, used by 10,000+ businesses globally Engineering team across India, China, and remote — real international collaboration AI-first engineering culture — we actively invest in AI-assisted development tooling Direct impact: features you build are used by businesses to communicate with millions of end-users daily

About Wati Started as a WhatsApp team inbox in 2020, Wati has evolved into an AI-powered customer engagement platform that goes beyond a single channel. Designed for businesses that sell, support, and grow through conversations, Wati observes customer intent in real time, decides the next best revenue action, and executes it across marketing, sales, and support — on WhatsApp, Instagram, Facebook, TikTok, SMS, and more. Trusted by over 16,000 customers across 190+ countries, Wati simplifies complex operations and business conversations with a unified inbox, no-code automation, and our intelligent AI layer, Astra. Proudly backed by Tiger Global, Sequoia Capital, DST Global, and Shopify, and recognised as a Premium Partner of Meta and Google. Wati, the AI-Powered Customer Engagement Platform for Revenue Grow. About This Role We are looking for a high-agency Lead Product Manager to own the monetization strategy and product execution for Wati’s AI portfolio. Based in Shenzhen, you will work closely with our engineering teams in China, our product organization in India, and global Finance, Data, Sales, Marketing, and Customer Success teams. Your primary mandate is to turn customer value from AI into durable, scalable revenue. You will own AI pricing and packaging, monetization mechanics, revenue growth, and gross-margin performance. Activation, adoption, and retention are important supporting metrics because sustainable monetization starts with customers reaching value. This is a hands-on individual-contributor role with significant cross-functional influence. You will move from customer research and commercial analysis to product requirements, experiments, launches, and post-launch iteration. What You’ll Own AI Pricing & Packaging Define and evolve Wati’s AI pricing architecture across subscription, usage, credits, add-ons, and outcome-based models. Develop clear packages, entitlements, quotas, overages, trials, and upgrade paths for different customer segments and use cases. Lead willingness-to-pay research, competitive analysis, pricing experiments, and packaging validation. Create a coherent monetization strategy across AI agents, automation, messaging, and adjacent platform capabilities. Revenue & Gross Margin Own the product levers that drive AI revenue, paid conversion, expansion, and gross margin. Build a clear view of AI unit economics, including inference costs, cost to serve, usage patterns, and contribution margin. Partner with Finance and Data to establish forecasting, reporting, and decision frameworks for monetization performance. Identify and prioritize opportunities to improve revenue quality without compromising customer trust or long-term adoption. Monetization Platform & Execution Translate pricing strategy into scalable product capabilities, including metering, entitlements, billing events, usage visibility, limits, and cost controls. Work with Engineering to define reliable data flows and system behavior across product, billing, finance, and go-to-market tooling. Design transparent customer experiences for plan selection, trials, usage, upgrades, overages, and renewal. Ensure new AI capabilities launch with a clear value metric, commercial hypothesis, instrumentation plan, and margin model. Adoption & Retention Improve activation and time to first value for paid AI capabilities. Use product and commercial data to identify friction, segment behavior, and expansion opportunities. Partner with Growth, Customer Success, and Sales on experiments that increase qualified adoption and durable retention. Treat adoption and retention as inputs to sustainable monetization rather than isolated growth goals. Cross-functional Leadership Set the AI monetization roadmap and create alignment across Product, Engineering, Finance, Data, Design, and GTM. Act as the day-to-day product bridge between engineering teams in China, the product organization in India, and global commercial teams. Make clear trade-offs across customer value, revenue potential, delivery complexity, and gross-margin impact. Communicate decisions, assumptions, results, and risks clearly to senior leadership. What Success Looks Like A clear, evidence-based AI pricing and packaging strategy is adopted across the company. Customers can understand, purchase, track, and expand their AI usage through transparent product experiences. AI revenue, conversion, expansion, and gross-margin performance improve against agreed baselines. Product, Engineering, Finance, and GTM operate from shared metrics and a repeatable monetization launch process. Activation and retention improve for the AI capabilities that matter most to monetization. Requirements 6+ years of product management experience, with meaningful ownership of monetization, pricing, packaging, or commercial product strategy. Demonstrated experience taking a pricing or packaging change from customer insight and financial modelling through product implementation and market launch. Strong understanding of B2B SaaS, cloud, API, or AI business models, especially subscription and usage-based monetization. Comfort with unit economics, gross margin, forecasting, cohort analysis, experimentation, and revenue metrics. Experience working with engineering on metering, billing, entitlements, data infrastructure, or other monetization systems. Strong customer discovery and analytical skills, with the ability to combine qualitative evidence and imperfect data into decisions. Experience building and scaling products for international markets, with meaningful exposure to English-speaking customers and cross-border go-to-market teams. Able to operate in English as the primary cross-functional language and in Mandarin Chinese for close day-to-day collaboration with the Shenzhen engineering team. Based in Shenzhen, or willing to relocate and work closely with the Shenzhen engineering team. Comfortable using AI tools for research, analysis, prototyping, and everyday product work. Nice to Have Experience monetizing AI agents, automation, developer platforms, messaging, CRM, customer engagement, or adjacent products. Experience with credit-based, consumption-based, outcome-based, or hybrid pricing models. Background in engineering, data, finance, growth, or strategy. Experience supporting products sold across multiple international markets, customer segments, or currencies. Why Join Us Own one of Wati’s most important product and business challenges as AI reshapes customer engagement. Turn emerging AI capabilities into customer value, scalable revenue, and healthy economics. Work directly with strong engineering teams in Shenzhen and a distributed global product and commercial organization. Shape monetization systems and operating practices that can scale across Wati’s AI portfolio. High ownership, fast execution, and visible impact on company strategy and performance.

About Wati Started as a WhatsApp team inbox in 2020, Wati has evolved into a full revenue orchestration system that goes beyond a single platform. We empower businesses that sell, support, and grow through conversations by observing customer intent in real-time, deciding the next best revenue action, and executing it seamlessly across marketing, sales, and support—all within WhatsApp and connected messaging channels. Our Platform & AI Capabilities Wati is designed for scalability and intelligence. Our AI-native platform simplifies complex customer communication operations through a unified inbox, a robust multi-channel messaging infrastructure, and no-code automation. At the heart of our solution is Astra, our intelligent AI layer, which helps you create AI Agents for all customer interactions and all your messaging platforms. By integrating AI agents into the ecosystem, we enable businesses of all sizes to deliver measurable ROI and build deeper customer relationships. Our Backing & Partnerships Trusted by over 16,000 customers across 190+ countries, Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta and Google, we maintain the highest standards of platform excellence and integration. What You'll Be Doing Write clean, efficient, and maintainable code in C# or Golang leveraging AI-assisted tools (e.g., Gemini, Cursor, GitHub Copilot) under the guidance of senior developers Assist in coding, debugging, and validation tasks, focusing on AI-driven development workflows and software design plans Participate in software project planning, feature enhancement, and bug fixing, with an eye toward Agentic system integration Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions in an AI-first environment Learn and apply best practices in software development, including automated testing and AI-enhanced documentation Work with modern tech stacks and frameworks to improve product performance and user experience Requirements Education: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field Tech Stack: Proficiency in C# and/or Golang, or a strong willingness to learn and work with these languages AI-Native Mindset: Highly proficient in using LLMs (like Gemini) to accelerate coding, troubleshooting, and learning Experience: Previous internship experience in software development is highly preferred Strong problem-solving skills and the ability to prompt effectively to solve complex technical issues A proactive learner who can work effectively in a fast-paced, Agentic environment Able to work on-site in the Shenzhen office 5 days a week for at least 6 months

About Wati Started as a WhatsApp team inbox in 2020, Wati has evolved into a full revenue orchestration system that goes beyond a single platform. We empower businesses that sell, support, and grow through conversations by observing customer intent in real-time, deciding the next best revenue action, and executing it seamlessly across marketing, sales, and support—all within WhatsApp and connected messaging channels. Our Platform & AI Capabilities Wati is designed for scalability and intelligence. Our AI-native platform simplifies complex customer communication operations through a unified inbox, a robust multi-channel messaging infrastructure, and no-code automation. At the heart of our solution is Astra, our intelligent AI layer, which helps you create AI Agents for all customer interactions and all your messaging platforms. By integrating AI agents into the ecosystem, we enable businesses of all sizes to deliver measurable ROI and build deeper customer relationships. Our Backing & Partnerships Trusted by over 16,000 customers across 190+ countries, Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta and Google, we maintain the highest standards of platform excellence and integration. About the Role We are looking for an Agentic Engineer – Voice AI to build and scale Wati's real-time voice AI capabilities on WhatsApp. In this role, you will develop the systems that allow AI agents to listen, think, and speak in real time over WhatsApp voice calls. This includes building and optimizing the real-time media pipeline (WebRTC, LiveKit), integrating frontier AI models (OpenAI Realtime API, Google Gemini Live), and engineering the cascade architecture that connects speech recognition, language models, and speech synthesis into a seamless conversational experience. You will work on latency-critical infrastructure where every millisecond matters — from audio transport and voice activity detection to model inference and text-to-speech delivery. You will also contribute to the broader AI agent stack, including tool calling, context management, and multi-turn conversation orchestration. This role sits at the intersection of real-time communication systems, AI model integration, and conversational voice experiences. What You Will Do • Design, build, and optimize real-time voice AI pipelines — from WebRTC media transport to LLM inference and speech synthesis • Integrate and orchestrate frontier AI models including OpenAI Realtime API, Google Gemini multimodal live, and cascade architectures (ASR → LLM → TTS) • Build and maintain the media infrastructure: LiveKit-based audio routing, Opus codec handling, RTP/RTCP transport, and voice activity detection • Develop agent capabilities for voice interactions — tool calling, function execution, context engineering, and multi-turn conversation management • Optimize end-to-end latency across the voice pipeline, from audio capture to AI response playback • Collaborate with product and platform teams to deliver production-grade voice AI experiences on WhatsApp • Ensure reliability, performance, and scalability of voice AI infrastructure serving customers across 190+ countries What We’re Looking For • 3+ years of software engineering experience, with strong backend development skills (Go or Python preferred) • Experience with real-time communication technologies: WebRTC, RTP/RTCP, audio codecs, or media server infrastructure • Familiarity with AI/LLM integration — model APIs, tool calling, prompt engineering, or agent orchestration • Experience with or strong interest in speech technologies: ASR, TTS, voice activity detection, or audio processing pipelines • Understanding of distributed systems, microservices, and cloud-native architectures (GCP preferred) • Comfortable working with PostgreSQL, Redis, and pub/sub messaging systems • Strong problem-solving ability and ability to work in fast-paced, ambiguity-rich environments • Ability to debug complex, latency-sensitive systems by reading code, traces, and real-time metrics Nice to Have • Hands-on experience with OpenAI Realtime API, Gemini multimodal live, or similar real-time AI model APIs • Experience with AI agent frameworks (Dify, LangChain, CrewAI, etc.) • Familiarity with MCP (Model Context Protocol) or other agent integration standards • Contributions to open-source projects in the AI or real-time communication space Behavioural Expectations • Strong ownership and bias for action in a fast-moving environment • Proactive, self-driven, and comfortable working across teams to drive outcomes • AI-native mindset, actively using AI tools in daily engineering workflow and experimenting with agent frameworks and emerging technologies • Curiosity-driven — eager to push the boundaries of what voice AI can do in real business contexts

Started as a WhatsApp team inbox in 2020, Wati has evolved into an AI-powered customer engagement platform that goes beyond a single channel. Designed for businesses that sell, support, and grow through conversations, Wati observes customer intent in real time, decides the next best revenue action, and executes it across marketing, sales, and support — on WhatsApp, Instagram, Facebook, TikTok, SMS, and more. Trusted by over 16,000 customers across 190+ countries, Wati simplifies complex operations and business conversations with a unified inbox, no-code automation, and our intelligent AI layer, Astra. Proudly backed by Tiger Global, Sequoia Capital, DST Global, and Shopify, and recognised as a Premium Partner of Meta and Google. Wati, the AI-Powered Customer Engagement Platform for Revenue Grow. Responsibilities Manage the full project lifecycle and ensure delivery. Lead the end-to-end process from project initiation, requirements, design and development through to delivery. Define project objectives, scope, plans, milestones and ownership, and take responsibility for delivery outcomes. Coordinate cross-functional collaboration and drive issue resolution. Track progress, risks and action items. Coordinate requirement changes, team dependencies and resource conflicts, drive decisions forward, and ensure every issue has a clear owner, target completion date and resolution. Ensure timely and transparent communication. Provide timely updates on project progress, risks and delays. Maintain clear and accurate project documentation, and continuously improve project management processes and tools. Working Expectations Communicate promptly and align proactively. When project objectives, requirements, responsibilities or plans change, communicate with relevant stakeholders immediately to ensure everyone has a shared understanding. Do not wait for others to ask. Provide timely feedback and surface issues proactively. When risks, blockers or potential delays arise, promptly communicate the facts, impact and support required. Propose solutions and continue following up before the issue escalates. Communicate and provide feedback until closure. Reconfirm important matters, continuously share key updates and provide timely resolution results to ensure stakeholders are informed, responsibilities are clear and actions are completed. Requirements Bachelor’s degree or above. All academic backgrounds will be considered. At least 2 years of experience in software development or cross-functional project management. Experience in end-to-end delivery of complex projects, with the ability to independently manage project planning, execution, risk management and issue resolution. Familiarity with Agile project management methodologies, with practical experience in Scrum or Kanban. English proficiency sufficient for use as a working language, including writing English documentation and communicating with international teams. Strong logical thinking, presentation and project coordination skills, with the ability to balance competing needs related to time, scope and resources. Familiarity with at least one project management tool, such as Linear, YouTrack, Jira or Notion. Ability to manage multiple projects simultaneously and collaborate effectively across time zones. Preferred Qualifications PMP, ACP or other project management certifications. Experience working with Business or cross-system collaboration projects. Experience improving project management processes or promoting project management tools. Experience using AI or automation tools to improve project management efficiency.