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 This Role We’re looking for a high-agency, technical Product Manager to work at the intersection of platform, integrations, growth, and AI systems.
This role is ideal for someone who: Thinks in systems, not features Lives inside AI tools.
You use LLMs, coding copilots, and AI research tools daily — not as novelty, but as workflow Is comfortable with ambiguity and evolving product-market fit Can translate complex workflows into scalable product experiences Understands how AI products behave in production (not just demos) You’ll work closely with Engineering, Design, GTM, and Leadership to build products that power how businesses communicate, automate, and monetize customer interactions.
Responsibilities Product Strategy & Execution Own roadmap across platform, integrations, and AI workflows Prioritize based on business impact, scalability, and speed to value Platform & Productisation Design scalable systems that reduce manual onboarding and implementation Define what should be self-serve vs high-touch Build APIs, workflows, and extensible infrastructure with engineering Growth & Adoption Own key metrics: activation, deployment, retention, conversion Improve time-to-value and drive product adoption Optimize onboarding, pricing, and bundling AI Product Quality Define quality benchmarks (accuracy, reliability, latency) Build evaluation frameworks (test cases, simulations, evals) Improve real-world performance through iteration (data, prompts, workflows) Cross-functional Leadership Work across Product, GTM, and Engineering to drive execution Translate customer needs into scalable product solutions Why Join Us Build at the intersection of AI, messaging, and revenue orchestration Work on a product used by 16,000+ customers globally High ownership, fast execution, real impact Backed by top-tier investors AI-first product DNA Core 2–5 years of Product Management experience (B2B SaaS / platform preferred) Demonstrable use of AI tools — you use LLMs for writing, research, prototyping, analysis, and coding assistance.
You are comfortable to walk us through your AI-augmented workflow in detail.
Strong understanding of APIs, integrations, and data systems Experience driving end-to-end product execution What We’re Looking For Experience building platform or integration-heavy products Strong intuition for growth (onboarding, activation, retention) Ability to simplify complex workflows into scalable systems Comfortable in fast-paced, ambiguous environments - When exploring a problem, you'll spin up a quick test in an AI tool, build a throwaway agent, or hack together a demo AI Product Thinking You understand that AI systems are probabilistic, not deterministic — and you've designed products that account for this (graceful fallbacks, human-in-the-loop, confidence thresholds, edge case handling etc.
.,) Experience with product quality, evals, or iterative improvement loops Ability to design for trust, usability, and real-world performance Bonus AI / automation / agent-based product experience Exposure to messaging / CRM / CX tools Technical background (engineering, data)
