Job Title

The RoleWe are helping to hire a Senior Software Engineer to strengthen the core foundation of our agentic data analytics platform, ensuring reliability, scalability, and performance as we move from MVP to enterprise scale.This is a core platform role with real ownership. You will work on data integrations, platform execution, and the systems that power AI-driven analytics.What You Will Be DoingBuilding core data integrations with common SaaS platformsDesigning data pipelines that ingest provider APIs into our analytics datastoreImproving the agent platform and executor with better error handling, observability, and speedMaking LLM interactions more efficient through prompts, snippets, and toolingImproving internal developer experience and platform toolingHelping take an early MVP into a production-grade platformWhy JoinEarly, high-impact role in an AI-native companyDirect influence on platform architecture and technical directionOpportunity to work with an experienced founding teamBuild technology that fundamentally changes how teams use dataThe StackGo (Railway)PostgresTerraform (Infrastructure as Code)What We Are Looking For3+ years of Go experienceDeep understanding of design patterns and system architectureExperience building scalable, performant platformsStrong grasp of event-driven systems and concurrencySolid database and API design experience, ideally with PostgresUnderstanding of good security practicesAbility to clearly communicate technical trade-offsFamiliarity with the modern AI tooling landscapeSome cloud infrastructure experience including TerraformNice to HaveZero-to-one product experience, including OSS or side projectsData engineering experience such as pipelines and analyticsExperience integrating LLMs, including prompt design and understanding model capabilitiesDeeper cloud experience, especially with GCPExperience with Encore, though this is easy to pick upWays of WorkingOwnership mindset with comfort taking ideas from rough outline to implementationExecution first approach where speed matters, balanced with pragmatismIterative development focused on shipping, learning, and improvingFirst-principles thinking rather than cargo-cult engineeringEgo-less culture with direct, constructive feedbackComfort working asynchronously and learning independentlyAI-native approach using tools like Cursor or Claude Code to move faster