Key Skills

Job Description

Senior Product Engineer at MANILAI Code is cheap now. Good engineering judgement isn’t. At MANILAI we’re building a Personal Intelligence System: an ecosystem that learns from every input you give it. Your handwriting through our smartpen, your voice and the tools you already use. From all of it we build a picture of your world, with a goal to understand and guide. This is a challenge: → Real hardware. Every stroke streams from the pen over BLE, through native Swift and Objective-C SDKs. Capture has to survive dropped connections, background mode and days offline, and device–server sync has to be idempotent: no lost pages, no duplicates. → Recognition that doesn’t exist off the shelf. Real-life handwriting is still hard for today’s OCR, so we’re building the recognition technology the whole product stands on. → Many inputs, one world. Pen, voice and integrated tool inputs arrive at different times and in different shapes. Together they have to become one consistent picture, and it’s deeply personal, so it stays encrypted. → Then make it useful. AI agents with memory that support you with everything you put inside, by text or voice, streaming in real time. Today, much of product innovation comes from technology itself. What is possible today shapes what we build tomorrow. So we expect our engineers to always be researching, and to bring ideas before anyone asks: a new model, a new library, a cheaper or faster way to do what we already do. You keep looking for the solution with the best balance of quality, speed and cost. The best ideas at MANILAI should come bottom-up, from the people closest to the technology, and always come back to a real user problem. We’re not hiring for a list of frameworks. We’re hiring for how you think: → The right thing before the thing right. You ask what problem a request solves before you build it. → Simplicity is a feature. Fewer services, fewer moving parts, modules that are deep rather than wide. → Fast, without debt. You ship quickly and think about who maintains it next year. → Measure, don’t guess. You profile from device to database (rendering, memory, battery, network, slow queries), watch crash reports on what you ship, and check whether it moved the numbers. → Learn from the best. You study competitors and the products you admire, figure out how they’re built, and find what we can do even better with our own technology. → Own your decisions. You use AI to work faster and spend the saved time making things better. You know where review is a bottleneck and where it’s mandatory. Thinking stays your job. You’ll own features end to end: data model, API, background jobs and webhooks, AI, UI, push, emails and deep links, release through CI/CD and TestFlight. Our stack is React Native with native Swift, serverless TypeScript, Python and Postgres, but a strong engineer from a different stack will pick it up quickly. Interested? Please, apply through LinkedIn by submitting your CV.

Core Responsibilities

Own product features end to end, spanning data models, APIs, background jobs, AI, user interfaces, notifications, and release processes. Build and improve a personal intelligence product that captures and synchronizes handwriting and other inputs, recognizes handwriting, and provides real-time AI assistance.

Requirements

The role calls for a senior engineer with strong engineering judgment who can research and evaluate technologies, balance quality, speed, and cost, and deliver maintainable solutions. Candidates should be comfortable owning work across the product stack, measuring performance and reliability, and learning the listed technologies or transferring experience from another stack.