Staff Software Engineer

About Us We're living through a fundamental shift in how people discover, evaluate, and purchase products. The next generation doesn't respond to traditional marketing -- they build relationships with brands through authentic social interactions, seek recommendations from communities they trust, and expect personalized experiences that feel human, not corporate. At Nectar Social, we're building the AI-native social operating system that enables this new era of commerce. We believe every social interaction should deepen the relationship between brands and their communities while creating genuine value for both sides. Founded by ex-Meta product and engineering leaders, we've raised over $30M in total capital from investors including GV and True Ventures. We work with brands like Oura Health, Caraway, e.l.f. Cosmetics, Kosas, OLIPOP, and many more. We're building the future of social commerce -- where community, conversation, and commerce converge. The Role We'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 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 LinkedInDevelop resilient integrations with third-party APIs and optimize the infrastructure that powers our AI workloadsImprove reliability, performance, and cost efficiency across our backend and data pipelines as the platform scalesEstablish 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 insightsImprove shared components, design systems, and frontend architecture to enable faster and higher-quality product developmentOptimize performance and reliability across the application as it scales to support thousands of daily usersCollaborate 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 teamReview technical designs and code from other engineers - providing feedback that raises the quality bar across the teamMentor 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-stackDeep understanding of system design, distributed systems, and scalable architectureExperience building reliable data pipelines on top of external APIs, or building complex, data-rich web applications using ReactStrong user empathy and product intuition when designing and building featuresExperience mentoring engineers and shaping engineering cultureCuriosity about how AI is changing software development and interest in AI-assisted engineering workflowsComfort 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 systemsExperience building AI-powered user interfaces or LLM-integrated product featuresExperience building analytics dashboards or data-heavy interfacesExperience integrating AI or machine learning systems into production environmentsPrevious experience working at an early-stage or rapidly scaling startup What we offer Competitive compensation and early equityHealth, vision, and dental benefits + 401(k) matchClassPass membership for fitness and wellness classes$50/month mobile stipend for all employees, and $50/month internet stipend for remote employees For our Palo Alto Office: Hybrid schedule: 4 days in office, plus 3 remote flex days per quarter (after your first 3 months)Free lunch in the heart of University Ave. in Palo Alto$1,000/month housing stipend for living near the officeFully paid for commuter benefits (train stipend or Palo Alto parking reimbursement) Compensation Range: $240K - $400K