Nectar

Own security of applications and AI infrastructure, lead compliance initiatives, and manage security in sales cycles. | 5+ years in security engineering with application and cloud security expertise, compliance program operation, and programming skills for automation. | 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 Security Engineer to own security across our enterprise SaaS platform -- from the design of our deployed applications to the compliance programs that earn the trust of large brands. We handle sensitive social and customer data at scale, and our customers expect enterprise-grade security and rigorous proof of it. As the first Security engineer, you'll have outsized ownership. You'll secure the products we ship, lead the compliance initiatives that unlock enterprise deals, and build the security foundations the rest of the engineering team relies on as we grow. What You'll Be Doing Own the security of our deployed applications, including threat modeling, secure design reviews, and finding and fixing vulnerabilities across our services and AI infrastructure Lead new compliance initiatives (SOC 2, and frameworks like ISO 27001, GDPR, and CCPA as we scale), establishing the controls, policies, and evidence to back them Own the security side of the sales cycle: complete customer security questionnaires, support enterprise security reviews, and act as our expert in vendor assessments Build and run our vulnerability management, secrets management, identity and access, and security monitoring practices Manage third-party risk and our penetration-testing program What We're Looking For 5+ years in security engineering, application/product security, or a related role at a software company Strong application and cloud security fundamentals; able to reason about the security of real production systems and AI workloads, not just policy Hands-on experience leading or operating a compliance program (SOC 2, ISO 27001, or similar) end to end Solid programming skills to build security tooling and automation, and to work credibly alongside engineers Comfortable operating in fast-moving startup environments with high ownership and autonomy Bonus Points Experience establishing a security and compliance function at an early-stage or rapidly scaling SaaS company Familiarity with AWS, Pulumi, Postgres, ClickHouse, Turbopuffer, or Temporal What We Offer Competitive compensation and early equity Health, vision, and dental benefits plus 401(k) match Clear career growth opportunities as the company scales Free lunch in the heart of University Ave. in Palo Alto Deep exposure to cutting-edge AI tooling and the opportunity to shape how brands use it A collaborative, ambitious team defining a new category of AI-native marketing infrastructure

Own the reliability, scalability, and operational excellence of production systems handling high-volume social data and AI workloads. | Requires 5+ years of experience in SRE or platform engineering with expertise in scaling complex production platforms and AWS. | 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 Senior Site Reliability Engineer to own the reliability, scalability, and operational excellence of the production systems that power Nectar's platform. We run high-volume data ingestion pipelines and real-time AI agents on top of a fast-growing customer base, and we need a seasoned SRE to help us scale these systems safely and keep them running flawlessly. As one of our first dedicated SREs, you'll have outsized impact and ownership. You'll define how we measure, operate, and harden our infrastructure -- establishing the reliability foundations that the rest of the engineering team builds on as we scale. What You'll Be Doing Own the reliability and scalability of our production systems as they handle rapidly growing volumes of social data and real-time AI workloads Define and drive SLOs, SLIs, and error budgets, and build the observability, alerting, and on-call practices to support them Lead incident response and blameless postmortems, then turn what we learn into systemic improvements that prevent recurrence Improve performance, cost efficiency, and capacity planning across our cloud infrastructure as the platform scales Harden our infrastructure-as-code, deployment, and CI/CD pipelines for resilience and repeatability Partner with engineering teams to embed reliability into system design and raise the operational bar across the org What We're Looking For 5+ years of experience operating production systems as an SRE, infrastructure, or platform engineer Experience scaling databases, data infrastructure, or complex production platforms under significant load Hands-on expertise with cloud infrastructure (AWS or similar) and infrastructure-as-code tooling Solid programming skills for building automation, tooling, and operational services Comfortable operating in fast-moving startup environments with high ownership and autonomy A reliability-first mindset balanced with pragmatism about velocity and cost Bonus Points Experience standing up or maturing an SRE practice at an early-stage or rapidly scaling company Familiarity with our tech stack: AWS, Pulumi, Postgres, ClickHouse, Turbopuffer, or Temporal Background in capacity planning, performance engineering, or cost optimization at scale What We Offer Competitive compensation and early equity Health, vision, and dental benefits + 401(k) match Clear career growth opportunities as the company scales Free lunch in the heart of University Ave. in Palo Alto Deep exposure to cutting-edge AI tooling and the opportunity to shape how brands use it A collaborative, ambitious team defining a new category of AI-native marketing infrastructure

Build and scale core product experiences focusing on backend infrastructure and AI-powered frontend interfaces, provide technical leadership and mentoring. | Strong experience with production distributed systems, scalable architecture, reliable data pipelines or complex React apps, and mentoring engineers. | About Nectar 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, 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. Our AI agents listen in real time, surface actionable insights, attribute engagement to revenue, and turn conversations into conversions. Founded by ex-Meta product and engineering leaders, we work with brands like OLIPOP, Hatch, K18, Little Spoon, and many more. We hit product-market fit last year and are on a fast growth trajectory – the business has grown 10x in the past year, and we're hiring to keep up with customer demand. 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 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