Senior Full Stack Software Engineer - on site

About

Fast-scaling AI sales intelligence platform turning customer conversations into structured data + automated revenue actions. Strong PMF, well-funded, and building at the intersection of AI agents + modern revenue infrastructure.

Job Location

NYC, NY in Soho

Scope of Role

• Drive end-to-end design and implementation of product requirements, including:
  • Task breakdown and technical scoping
  • Full feature development (frontend + backend)
  • Testing, deployment, monitoring, and ongoing production support
• Build and maintain high-quality, scalable full-stack systems using:
  • React, Next.js, Tailwind (frontend)
  • Go, Postgres, Kafka, Redis (backend/data systems)
  • AWS + Kubernetes for infra and deployment
• Collaborate closely with Product, Design, and Engineering teams to:
  • Translate product specs into production-ready features
  • Influence product direction with technical and product-driven ideas
  • Identify opportunities to improve internal systems and workflows
• Own the full software development lifecycle, including:
  • Problem definition and technical discovery
  • System design and architecture decisions
  • Implementation and iterative development
  • Testing and validation
  • Demoing and supporting production use cases
• Contribute to and improve the AI-powered sales intelligence platform, including:
  • Structuring and processing customer interaction data
  • Supporting AI agent workflows and automation systems
  • Enhancing CRM intelligence, reporting, and revenue visibility tools
• Balance short-term delivery needs vs long-term architecture, making pragmatic engineering trade-offs
• Continuously improve code quality, system reliability, and scalability
• Work in a fast-paced, high-ownership startup environment, taking responsibility from idea → production → iteration

Requirements

• MUST HAVE SKILLS: React, Next.js, TypeScript, Go, Postgres, AWS, Kubernetes, GraphQL/REST APIs;
• Strong product thinking, ownership mindset, ability to ship end-to-end features

Work Extra Notes

• Hiring is high-intensity, execution-heavy startup environment. Candidates must be comfortable with ambiguity and fast iteration cycles
• Strong preference for builders over maintainers (people who have shipped full features, not just maintained services)
• Candidates should have real production ownership experience, not just feature contributions
• Best-fit profiles come from high-growth startups (Series A–C) or strong engineering orgs where they had direct impact on product + architecture
• Must be comfortable working across frontend + backend (true full-stack, not backend-heavy engineers)
• Strong bias toward candidates who have worked on:
  • AI/ML-enabled products OR data-heavy SaaS platforms
  • Internal tooling that powers revenue/sales/product workflows

Benefits

(Note: The provided text under 'Benefits' appears to be interview questions, not actual benefits. Therefore, no benefits have been extracted.)