Job Title:
Senior Full Stack Software Engineer - on site

Location:

NYC, NY working
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.

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  Drive end-to-end design and implementation of product requirements, including:
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  Task breakdown and technical scoping
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  Full feature development (frontend + backend)
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  Testing, deployment, monitoring, and ongoing production support
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  Build and maintain high-quality, scalable full-stack systems using:
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  React, Next.js, Tailwind (frontend)
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  Go, Postgres, Kafka, Redis (backend/data systems)
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  AWS + Kubernetes for infra and deployment
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  Collaborate closely with Product, Design, and Engineering teams to:
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  Translate product specs into production-ready features
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  Influence product direction with technical and product-driven ideas
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  Identify opportunities to improve internal systems and workflows
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  Own the full software development lifecycle, including:
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  Problem definition and technical discovery
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  System design and architecture decisions
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  Implementation and iterative development
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  Testing and validation
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  Demoing and supporting production use cases
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  Contribute to and improve the AI-powered sales intelligence platform, including:
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  Structuring and processing customer interaction data
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  Supporting AI agent workflows and automation systems
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  Enhancing CRM intelligence, reporting, and revenue visibility tools
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  Balance short-term delivery needs vs long-term architecture, making pragmatic engineering trade-offs
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  Continuously improve code quality, system reliability, and scalability
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  Work in a fast-paced, high-ownership startup environment, taking responsibility from idea → production → iteration
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  Interview Stages 4
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  MUST HAVE SKILLS:
  React, Next.js, TypeScript, Go, Postgres, AWS, Kubernetes, GraphQL/REST APIs;
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  Strong product thinking, ownership mindset, ability to ship end-to-end features

Strong product thinking, ownership mindset, ability to ship end-to-end featur
In office

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  In Office -
  New York, NY (SoHo)

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

Benefits