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 RoleWe are looking for a Staff Applied AI Scientist to lead the quality, performance, and optimization of our production AI systems.This role focuses on improving the core behavior of our AI systems, including prompting, benchmarking, evals, model optimization, fine-tuning, and distillation. It is not primarily an application engineering or tooling role.Our products process more than 4 billion messages per year across real customer communication workflows. We have already built the foundation: a multi-phase training pipeline using production conversation data as the preference signal, including a trained Reward Model and an LLM-as-judge evaluation benchmark across hundreds of topics drawn from real production data. You will inherit this work, advance it into the next phase of preference learning, and build the broader system for continuous AI quality improvement around it.You will define how we measure quality, identify failure modes, improve accuracy and reliability, and make better model decisions over time. You will work closely with product and engineering to turn real customer scenarios into a disciplined system for evaluation and continuous improvement, with a strong focus on quality, latency, and cost at scale.What You Will OwnDrive the next phase of our preference learning and fine-tuning pipelineLead strategy for AI quality, evals, and benchmarking across productionDefine and improve key metrics for production AI performance, including accuracy, instruction following, tool-use reliability, latency, multilingual performance, and cost efficiencyBuild repeatable evaluation and feedback loops to improve quality over timeDrive prompt optimization, failure analysis, and model selection based on real-world performanceDefine the roadmap for distillation and longer-term model optimizationPartner closely with product and engineering to improve production outcomes for customersRequirementsDeep experience in LLMs, NLP, deep learning, or applied AIStrong track record in one or more of: evals and benchmarking, prompt engineering, fine-tuning, distillation, conversational AI or agent systems, model optimization in productionHands-on experience with preference learning, RLHF, or DPO pipelines is a strong plusStrong technical judgment on how to improve AI systems beyond application-layer integrationExperience working on production AI systems where quality, latency, and cost all matterComfortable operating without a large team: you will do the work, not just direct itStrong ownership, product sense, and cross-functional communication skillsBenefitsWati operates at large scale in real customer communication workflows, processing more than 4 billion messages per year. We have already invested in the foundational ML infrastructure. You will not be starting from scratch. You will be joining at the inflection point where the pipeline is built and the real work of continuous improvement begins.This is a rare IC opportunity to own AI quality end-to-end at production scale, with real data, real customer impact, and a direct line to the product and founding team.
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 a Staff Applied AI Scientist to lead the quality, performance, and optimization of our production AI systems.
This role focuses on improving the core behavior of our AI systems, including prompting, benchmarking, evals, model optimization, fine-tuning, and distillation. It is not primarily an application engineering or tooling role.
Our products process more than 4 billion messages per year across real customer communication workflows. We have already built the foundation: a multi-phase training pipeline using production conversation data as the preference signal, including a trained Reward Model and an LLM-as-judge evaluation benchmark across hundreds of topics drawn from real production data. You will inherit this work, advance it into the next phase of preference learning, and build the broader system for continuous AI quality improvement around it.
You will define how we measure quality, identify failure modes, improve accuracy and reliability, and make better model decisions over time. You will work closely with product and engineering to turn real customer scenarios into a disciplined system for evaluation and continuous improvement, with a strong focus on quality, latency, and cost at scale.
What You Will Own
- Drive the next phase of our preference learning and fine-tuning pipeline
- Lead strategy for AI quality, evals, and benchmarking across production
- Define and improve key metrics for production AI performance, including accuracy, instruction following, tool-use reliability, latency, multilingual performance, and cost efficiency
- Build repeatable evaluation and feedback loops to improve quality over time
- Drive prompt optimization, failure analysis, and model selection based on real-world performance
- Define the roadmap for distillation and longer-term model optimization
- Partner closely with product and engineering to improve production outcomes for customers
Requirements
- Deep experience in LLMs, NLP, deep learning, or applied AI
- Strong track record in one or more of: evals and benchmarking, prompt engineering, fine-tuning, distillation, conversational AI or agent systems, model optimization in production
- Hands-on experience with preference learning, RLHF, or DPO pipelines is a strong plus
- Strong technical judgment on how to improve AI systems beyond application-layer integration
- Experience working on production AI systems where quality, latency, and cost all matter
- Comfortable operating without a large team: you will do the work, not just direct it
- Strong ownership, product sense, and cross-functional communication skills
Benefits
Wati operates at large scale in real customer communication workflows, processing more than 4 billion messages per year. We have already invested in the foundational ML infrastructure.
You will not be starting from scratch.
You will be joining at the inflection point where the pipeline is built and the real work of continuous improvement begins.
This is a rare IC opportunity to own AI quality end-to-end at production scale, with real data, real customer impact, and a direct line to the product and founding team.
Wati is a rapidly growing CPaaS (Communication Platform as a Service) that offers innovative business messaging solutions for both SMBs and large enterprises. Our mission is to simplify business communication, starting with WhatsApp.Backed by global investors Sequoia, DST Global, and Tiger Global, we proudly stand as Shopify’s first investment in Asia. Additionally, we’re one of the industry's top Meta BSPs (Business Solution Providers).We serve 12000+ customers across 100+ countries. As a remote-first company, we prioritize adaptability and inclusivity. Our talented team spans the globe, working collaboratively to drive innovation and empower businesses through WhatsApp.As we grow our partnership function we’re seeking a skilled Partner Development Representative to drive partnership growth, partner ecosystem building and business expansion in newer territories.We welcome you to join our dynamic team! 🌏🚀
Wati is a rapidly growing CPaaS (Communication Platform as a Service) that offers innovative business messaging solutions for both SMBs and large enterprises. Our mission is to simplify business communication, starting with WhatsApp.
Backed by global investors Sequoia, DST Global, and Tiger Global, we proudly stand as Shopify’s first investment in Asia. Additionally, we’re one of the industry's top Meta BSPs (Business Solution Providers).
We serve 12000+ customers across 100+ countries. As a remote-first company, we prioritize adaptability and inclusivity. Our talented team spans the globe, working collaboratively to drive innovation and empower businesses through WhatsApp.As we grow our partnership function we’re seeking a skilled Partner Development Representative to drive partnership growth, partner ecosystem building and business expansion in newer territories.
We welcome you to join our dynamic team! 🌏🚀
