Senior Staff / Staff Software Engineer

About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into real-time systems, we help businesses turn interest into action—immediately. We’re growing fast, and building scalable data infrastructure and applications that allow us to onboard, understand, and activate customer data quickly is core to our success. About the Role We are looking for a Senior / Staff Software Engineer — Data Platform to build and evolve the data and application systems that power our Marketing AI and AI Sales Agents. This is a hands-on engineering role with significant ownership across data pipelines, backend applications, analytics systems, and customer data integrations. You will build systems that ingest data from a wide variety of customer platforms, transform it into reliable and curated datasets, and make that data available to our ML systems, analytics applications, and customer-facing products. The role is primarily backend focused, but we are a startup—you should be comfortable working across the stack and occasionally building frontend functionality when needed to get a product or capability shipped. We value engineers who can take an ambiguous problem, determine the right technical approach, and drive it independently from design through production. What You’ll Do Own backend and data systems end-to-end, from architecture and implementation to production operation and scale Design and build scalable data pipelines for CRM, web, advertising, product, and other customer data Build integrations with data warehouses and platforms such as BigQuery, Snowflake, Databricks, Redshift, and customer-managed databases Design reliable ingestion patterns across APIs, cloud storage, databases, data sharing, batch processing, and event-driven systems Build curated datasets and data models used by ML systems, analytics, reporting, and customer-facing applications Develop backend APIs, services, and internal applications using Python and TypeScript Build systems for large historical backfills as well as reliable, low-latency incremental processing Solve systemic problems around data quality, schema evolution, scalability, observability, reliability, and operational efficiency Build tooling that makes customer onboarding, data validation, configuration, and troubleshooting faster and more automated Work across GCP and AWS and make pragmatic architecture decisions based on the problem at hand Occasionally contribute to frontend applications when necessary to deliver complete product experiences Help define architecture, engineering standards, and reusable patterns as the platform scales Mentor other engineers and raise the engineering bar across the team Follow and enforce security best practices, including secure coding, proper handling of sensitive…