Jobs at Soda

The Graduate SDR will generate leads, conduct outbound campaigns, secure meetings for AEs, and collaborate on sales strategy in a fast-paced environment.

Lead the technical side of large enterprise deals from first call through architecture, security review, PoC, and closed-won. Scope and hold PoCs, respond to technical/RFP/security questions, ramp and coach junior SEs, run technical deal reviews, and build reusable demo/PoC assets and templates.

Build and own backend services and APIs in Java for a multi-tenant SaaS. Ship end-to-end product features, operate services on AWS/EKS and Kubernetes, improve reliability, scalability, CI/CD/GitOps, observability, and platform tooling that enables agentic development. Drive architecture and work directly with product and customers.

Own end-to-end features across Java backends and a TypeScript/Angular frontend for a multi-tenant SaaS platform. Design APIs, schema and queries (MySQL/ClickHouse), build performant UIs, write unit/integration/e2e tests, deploy via containers/CI-CD, and integrate LLM/agentic workflows to help users find and fix data quality issues.

Lead frontend work on a TypeScript/Angular product, owning component architecture, state management, performance, and tests. Build data-dense UIs and Storybook-driven components, ship agentic (LLM) features, shape APIs and implement backend Java endpoints, write SQL, mentor engineers, and work directly with product, design, and customers to deliver end-to-end features.

Work on enterprise deals as an in-person Sales Engineer in Brooklyn: run demos, scope PoCs, build custom demos and PoC environments, respond to RFPs/RFIs, support evaluations and implementations, liaise with data engineering and leadership, and provide product feedback to engineering and product teams. Occasional travel to customers and conferences.

Support enterprise sales by running demos, scoping and owning PoCs, responding to RFPs/RFIs, and guiding customers through evaluation to implementation. Build custom demos and PoC environments, communicate technical value to data teams and executives, feed product/engineering with field insights, and occasionally travel to customer sites and conferences.

Build an end-to-end content engine for growth: ingest sources, extract themes, draft content, run evals, and manage review. Create webinars and videos, measure quality and engagement, own pipeline metrics, and iterate with founders and customers. Implement multi-step LLM pipelines, prompt engineering, and agentic workflows to produce high-quality, author-voiced content.