Jobs at Dragonfly

Own end-to-end feature development across frontend, backend, data, and DevOps. Ship regularly, iterate on stakeholder feedback, collaborate across disciplines, leverage AI tooling to accelerate delivery, and take ownership of product and technical outcomes.

Own and productionize a medallion-style data platform in BigQuery/Dataform: schedule and monitor pipelines, automate source onboarding, enforce data contracts and lineage, enable self-service data marts for product teams, and collaborate on quality scoring, feature engineering, and AI-driven pipelines.

Own end-to-end feature development across frontend, backend, data, and DevOps. Ship regularly, iterate on stakeholder feedback, collaborate cross-discipline, leverage AI tooling, and take ownership to deliver product outcomes.

Lead AI-native product direction for an agentic generative product: define user-facing success, shape agent reasoning and design guardrails, run fast validation cycles, maintain deep user proximity, and enable engineers to move quickly by resolving decisions and strategy ahead of sprints.

Build and own Dragonfly's outbound GTM from scratch: identify ICP accounts, run personalised outreach, pre-qualify leads, pitch to senior engineering decision-makers, represent the company at events, and hand off qualified meetings to the co-founder. Recommend and implement the GTM stack and collaborate on messaging and feedback loops.

Design, build, and ship production LLM systems: recommendation engines, conversational agents, research pipelines, search/retrieval and embedding infrastructure. Improve quality, cost, latency, safety, and enable AI-native workflows across the monorepo while collaborating with product engineers.