Position: Full Stack Engineer
Location: New York NY (SoHo)
Duration: Fulltime
Company X Factor
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.
MUST HAVE SKILLS:
React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs Strong product thinking ownership mindset ability to ship end-to-end features
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 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.
Position: Full Stack Engineer Location: New York NY (SoHo) Duration: Fulltime Company X Factor 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 r...
Position: Full Stack Engineer
Location: New York NY (SoHo)
Duration: Fulltime
Company X Factor
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.
MUST HAVE SKILLS:
React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs Strong product thinking ownership mindset ability to ship end-to-end features
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 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.
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