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Scoutbee · 3 months ago

Senior Product Full-Stack Engineer

San Francisco, CA

Full-time

Onsite

Senior Level

Scoutbee is a market-leading supplier data platform that empowers procurement professionals through AI and ML technologies. They are seeking a Senior Product Full-Stack Engineer to drive engagement in their buyer-supplier marketplace, ensuring active participation from buyers and suppliers while leading cross-functional initiatives to unlock marketplace potential.

AnalyticsArtificial Intelligence (AI)B2BBig DataInformation TechnologyLogisticsMachine LearningProcurementSaaSSoftware

Responsibilities

Build robust front-end experiences with Typescript, NextJS, React, and Vercel, while architecting scalable back-end systems with PostgreSQL, Inngest, and Pinecone

Lead the design, development, and iteration of web applications that power our buyer–supplier network. Validate assumptions quickly through lightweight, low-overhead experiments

Use analytics to extract actionable insights. When data is scarce, create rapid, cost-effective methods to test assumptions and guide decision-making

Integrate and experiment with Gen AI models to deliver personalized recommendations and intelligent insights. Build evaluation pipelines to track and measure performance

Test and refine product hypotheses at speed, iterating on both software and non-software solutions to address real user needs

Take products and use cases with early traction and scale them from near zero adoption to hundreds of thousands of users - ensuring reliability, efficiency, and robustness at every stage of growth

Qualification

Full-stack developmentNextJSReactPostgreSQLNodeJSGenerative AIData analysisAutonomyRapid experimentationProduct focus

Required

Extensive experience in full-stack development with a strong emphasis on backend systems

Deep knowledge of NextJS and React, with experience deploying via Vercel or self-hosted NextJS stacks

Proven skills in NodeJS and PostgreSQL, with familiarity in workflow orchestration tools such as Inngest or Temporal, vector databases, and building Generative AI / RAG applications

Ability to deeply understand user problems, collaborate within a lean cross-functional team, and lead product-driven discussions

Strong analytical mindset, able to extract insights from data and devise creative, cost-effective methods when data is limited

Comfortable taking full ownership of projects in ambiguous environments, driving decisions independently and in collaboration with the team

Ability to quickly validate assumptions and iterate solutions in a fast-paced setting