The RoleWe're looking for a Staff Software Engineer to build and scale Nectar's core product experiences and platform. You'll work across the full stack from the backend infrastructure that ingests and processes large volumes of social data, to the product interfaces that help brands understand, manage, and respond to social conversations using AI.
This role combines deep engineering with technical leadership. Whether you lean more toward backend systems or product/frontend, you'll shape architectural decisions, raise the quality bar across the codebase, and help establish strong engineering practices as the team and platform scale.
Our tech stack is TypeScript, React, Shadcn, Zustand, AWS, Pulumi, Postgres, ClickHouse, and Turbopuffer. We use AI tools thoughtfully in our day-to-day work - Cursor, Claude Code, Graphite, and Granola.
What You'll Be DoingBackend & 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
