Mash is the AI assistant for the people in your life, your to-dos, and everything you want to remember. As a Product Engineer, you will own user-facing product features end to end. You will get close to our users to understand what they need, help decide what to build with product and design, and ship it across the whole stack, including the Mash iOS app, our backend, and our AI systems. Shipping will be only part of the job. You will stay with each feature after it launches, learn whether it made a real difference for the people using it, and help shape what comes next. If you want to spend your days building the right things for our users and the business, we would love to meet you. We treat your time as the scarce asset that it is. We’re a dynamic team with experience at startups, and scaling products at big tech including Google, Amazon, Ada, D2L, CourseHero, Rakuten, Dayforce, PagerDuty, ROSS Intelligence & Lazer. We have top AI staff, including from programs such as MScAC, and advisors that have built startups and led some of the largest organizations in big-tech over the past 15 years. Mash investors include Whitecap Venture Partners, Castle Island Ventures, Maple VC, Strategic Cyber Ventures, Aquanow, Spacecadet, and angel investors including Sunny Madra (formerly Groq, now NVIDIA), Balaji Srinivasan (former CTO of Coinbase, author of The Network State), Austin Hill (co-founder of Zero-Knowledge Systems and Blockstream), Josh Troy (multi-startup CFO/co-founder, including Urbint) and John Pfeffer (former partner at KKR, co-founder of Pfeffer Capital). Talk to Mash users every week, through interviews, support conversations and App Store reviews,



and turn what you hear into the next thing worth building. Own features from idea to the App Store and beyond, across the iOS app, our APIs, and the AI systems behind the assistant. Make product and UX decisions yourself, with product and design as partners, not gatekeepers. Ship small and often. Instrument what you ship, read the analytics (activation, retention, feature adoption), and decide whether to double down, change course, or remove it. Keep what you ship healthy in production: quality, performance, reliability, and the infrastructure and CI/CD behind it. AI: We keep up with the state of the art and use whatever works best. Python (FastAPI, Pydantic, SQLAlchemy), TypeScript, React Native with Expo, Next.js. Data: Postgres, Cloud Storage, Prefect. Infrastructure: GCP (Cloud Run, Cloud SQL, Pub/Sub, Eventarc), Terraform, Docker, Dagger, Kubernetes, Tilt, OpenTelemetry. You have 4+ years of building and shipping software, ideally consumer or prosumer products that real people use every day. TypeScript and React (React Native is a plus) on the front end, and a backend language such as Python, Go, Java, or C#. You have experience with relational databases (such as Postgres or MySQL) and cloud providers (such as Google Cloud Platform or AWS). You communicate clearly, in writing and in person, so a busy teammate gets it the first time. You use AI coding tools every day, and you know where they help and where they do not. Bonus: you have shipped LLM features, published an iOS app, run product experiments, or built a side project that people actually use. Has solid user empathy, and a user experience first mindset. #

📌 Product Engineering (Toronto)
🏢 Mash
📍 Toronto