Clare.AI Limited

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 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. About the Role We’re hiring a Staff AI Engineer to own LLM orchestration, RAG, and agent infrastructure at 4B+ messages/year scale. Our platform processes over 4 billion messages per year across 100+ countries. Your mission is to build the robust, scalable, and intelligent systems that turn conversation data into real-time, intelligent customer experiences. In this role, you will lead the architecture, deployment, and optimization of our LLM-driven services — including multi-provider inference orchestration, RAG pipelines, multi-agent workflows, and voice AI. This is a senior IC role with significant technical influence across the AI stack. We need a "builder" who can bridge the gap between complex AI capabilities and massive-scale production environments, ensuring our AI is fast, reliable, and cost-effective. What You Will Own Core LLM Infrastructure: Architect and lead our AI production stack, including multi-provider LLM gateway optimization, token budget management, and low-latency inference routing across OpenAI, Gemini, and other providers. Agentic AI & RAG: Design and implement scalable RAG (Retrieval-Augmented Generation) systems, multi-step AI agent workflows, and tool-calling infrastructure (MCP), ensuring high accuracy and reliability in customer interactions. Voice & Multimodal AI: Lead the evolution of our voice AI layer (WebRTC/realtime) and cross-channel agent coordination across text, voice, and connected messaging platforms. AI Production Lifecycles: Own the "Engineering-to-AI" loop: building automated pipelines for data collection, cleaning, fine-tuning orchestration, and model versioning. Performance & Cost Optimization: Continuously optimize API costs, token budgets, latency, and caching strategies to ensure our 4-billion-message scale remains sustainable and performant. Evaluation & Benchmarking: Build the infrastructure for systematic AI quality assessment, identifying failure modes and ensuring model improvements are grounded in real-world production metrics. Technical Roadmap: Drive technology decisions in close collaboration with engineering leadership, selecting frameworks and architectural patterns that will define our AI future. What We Are Looking For Systems Expert: 5+ years of professional experience in backend or infrastructure engineering. Mastery of at least one high-performance language (Go, Rust, or C++) and deep proficiency in Python. AI Deployment Mastery: Proven track record of taking LLMs/NLP models from experiments to high-traffic production. You understand multi-provider orchestration, prompt engineering at scale, and model drift management. Data Pipeline Experience: Strong experience building data pipelines for AI workloads, including document processing, embedding generation, and vector search. Product-Minded Engineer: You don’t just build for the sake of tech; you understand how AI performance impacts customer outcomes and business value. Autonomous Builder: You thrive in environments with high ambiguity and can design, code, and deploy complex systems independently. ] Experience with vector databases (e.g., Qdrant, Milvus, Pinecone) and RAG architecture patterns. Familiarity with agentic frameworks, tool-calling protocols (MCP, function calling), or multi-agent orchestration. Experience with real-time voice/audio AI pipelines (WebRTC, LiveKit, or similar). Infrastructure-as-Code experience with GCP/AWS, Docker, and Kubernetes. Why Join Us You’ll own AI quality across a platform that serves 16,000+ businesses in 190+ countries. The data pipeline and production infrastructure are in place — your job is to push the frontier: better models, smarter agents, faster inference, and measurable business impact. You’ll have direct access to the founding team and the autonomy to shape our AI roadmap. This is a rare IC opportunity to own AI end-to-end at production scale, with real data, real customer impact, and a direct line to product decisions.

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 Wati AI powered by AI Copilot, Astra AI Agent and flexibility to add your own LLMs/AI. 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 As a Performance Marketing Specialist at Wati, you'll be responsible for planning, executing, and optimising paid campaigns across Google Ads, Meta Ads, LinkedIn, and emerging channels. You'll work across multiple global markets, own the full campaign lifecycle from brief to report, and bring both analytical rigour and creative instinct to everything you do. This role is for someone who lives and breathes performance, stays ahead of platform changes, and can turn data into actionable insights fast. What you'll do Plan, launch, and optimise paid campaigns across Google Ads (Search, PMax, Display, Demand Gen), Meta Ads (Facebook & Instagram), LinkedIn Ads, and other relevant channels Own campaign performance end-to-end — from creative briefs and audience targeting to bid strategy, budget allocation, and A/B testing Monitor daily performance and proactively identify opportunities to improve ROAS, CAC, CTR, and conversion rates across all markets Stay on top of platform updates, algorithm changes, beta features, and industry trends — and be the first to test what's new Build and maintain performance dashboards and weekly/monthly reports that surface actionable insights, not just vanity metrics Collaborate with the design and content team to brief, review, and iterate on ad creatives — bringing a strong eye for what converts Conduct competitor analysis and ad benchmarking to identify whitespace and inform campaign strategy Support budget planning, pacing, and monthly spend reconciliation across platforms and markets Work closely with the growth and product team to align campaign messaging with landing page experience and funnel conversion Contribute to influencer and creator marketing initiatives, including tracking and attribution setup Requirement 5-7 years of hands-on experience in performance marketing, with proven track record managing paid campaigns at scale Deep platform expertise in Google Ads and Meta Ads — you know the nuances of campaign types, bidding strategies, and audience mechanics Solid working knowledge of LinkedIn Ads and awareness of other paid channels (TikTok, programmatic, etc.) Strong analytical skills — comfortable working with GA4, HubSpot, Supermetrics, or similar tools to pull and interpret data Creative thinking — ability to spot trends, write sharp briefs, and recognise what makes an ad stop the scroll Experience running campaigns across multiple countries and markets simultaneously Strong reporting skills — ability to build clean dashboards and present performance insights clearly to stakeholders Solid understanding of conversion tracking, UTM structures, attribution models, and pixel/tag implementation Comfortable working in a fast-paced, global, and remote-first environment with high ownership and autonomy Experience with SaaS or B2B marketing is a strong plus Nice to have Experience with creator/influencer marketing campaigns and tracking Familiarity with WhatsApp Business API or messaging-first GTM strategies Hands-on experience with Looker Studio, Supermetrics, or similar reporting tools Knowledge of SEO and organic growth as a complement to paid strategy Experience running campaigns in Africa, LATAM, MENA, or SEA markets Tools you'll use Ad platforms: Google Ads, Meta Ads Manager, LinkedIn Campaign Manager Analytics: Google Analytics 4 (GA4), HubSpot CRM Reporting: Looker Studio, Supermetrics, Google Sheets Creative: Canva, Figma (for brief reviews) Tracking: Google Tag Manager, Meta Pixel, UTM frameworks Why Wati Ownership from day one — you'll run real campaigns with real budgets across global markets Fast-moving team that values data, creativity, and speed in equal measure Work on a product that's genuinely transforming how businesses communicate Competitive compensation, remote-first culture, and room to grow fast Direct exposure to senior leadership and a seat at the strategy table