Product Engineer

We're looking for a Software Engineer to work directly with the founding team. This is a high-ownership role for someone who wants to build the core infrastructure and product behind an AI-powered platform that's transforming how enterprise teams analyze data and automate complex workflows. You'll ship real features quickly, work across the full stack, and play a key role in a fast-growing startup where your code reaches users immediately. What You Will Do Build and ship product features end-to-end across an AI-powered software platform.Design and implement the systems that power automated workflows, data processing, and AI-generated outputs.Work across the full stack, including frontend interfaces, backend services, data pipelines, and AI/LLM integrations.Build seamless integrations across the tools users rely on, including web applications, spreadsheets, email, and other productivity platforms.Collaborate closely with the founding team on technical architecture and product direction.Write clean, reliable, well-tested code in a fast-moving environment where shipping quickly matters.Debug and optimize platform performance, particularly around AI-generated outputs and large datasets.Contribute to infrastructure and internal tooling that enables the engineering team to scale efficiently.Take ownership of problems, not just assigned tasks, by identifying opportunities and driving solutions from concept to implementation. Qualifications 2+ years of professional software engineering experience.Strong fundamentals in at least one backend language (Python, TypeScript/Node.js, Go, etc.) with the ability to work across the full stack.Experience building and shipping customer-facing products.Solid understanding of databases, APIs, and distributed system design.Ability to move quickly, make pragmatic tradeoffs, and iterate effectively.Comfortable working with ambiguity and independently solving loosely defined problems.Strong communication skills and a collaborative mindset. Nice to Have Experience working with LLMs, prompt engineering, or production AI/ML systems.Familiarity with financial data or building software for complex professional workflows.Experience developing spreadsheet add-ins, email integrations, or multi-platform product experience.Background in data engineering or working with large, unstructured datasets.Experience as an early engineer at a startup.Contributions to open-source projects.Familiarity with cloud infrastructure and DevOps tools such as AWS, GCP, Docker, and CI/CD.