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Staff Software Engineer

Staff Software Engineer builds and scales full-stack product experiences and backend infrastructure for AI-powered social commerce platform, processing large social data volumes and delivering AI-driven insights for brands. Involves technical leadership, mentoring, and architectural decisions in a fast-growing startup.

About the job

What You'll Be Doing

Backend & Data Infrastructure

  • Design and build backend systems that ingest and process large volumes of social data from platforms like Instagram, TikTok, X, and LinkedIn
  • Develop resilient integrations with third-party APIs and optimize the infrastructure that powers our AI workloads
  • Improve reliability, performance, and cost efficiency across our backend and data pipelines as the platform scales
  • Establish operational best practices including monitoring, incident response, and on-call culture

Product & Frontend

  • Build AI-powered product experiences such as conversation inboxes, AI-suggested replies, and summarization of social conversations into actionable insights
  • Improve shared components, design systems, and frontend architecture to enable faster and higher-quality product development
  • Optimize performance and reliability across the application as it scales to support thousands of daily users
  • Collaborate closely with product and design teams to deliver intuitive workflows for brand and marketing teams

Technical Leadership

  • Write architecture documents and guide infrastructure, tooling, and frontend decisions across the engineering team
  • Review technical designs and code from other engineers - providing feedback that raises the quality bar across the team
  • Mentor engineers and contribute to building strong engineering culture and development practices

What We're Looking For

  • Strong engineering experience designing, building, and operating production systems — backend, frontend, or full-stack
  • Deep understanding of system design, distributed systems, and scalable architecture
  • Experience building reliable data pipelines on top of external APIs, or building complex, data-rich web applications using React
  • Strong user empathy and product intuition when designing and building features
  • Experience mentoring engineers and shaping engineering culture
  • Curiosity about how AI is changing software development and interest in AI-assisted engineering workflows
  • Comfort operating in a fast-moving startup environment with high ownership and end-to-end responsibility

Bonus Points

  • Experience working with high-scale data pipelines or real-time data processing systems
  • Experience building AI-powered user interfaces or LLM-integrated product features
  • Experience building analytics dashboards or data-heavy interfaces
  • Experience integrating AI or machine learning systems into production environments
  • Previous experience working at an early-stage or rapidly scaling startup

Skills

TypeScript, React, AWS, Postgres, ClickHouse, Pulumi, Shadcn, Zustand, Turbopuffer, Distributed Systems

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