Staff Software Engineer

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