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.
- 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
- Interview Stages 4
- MUST HAVE SKILLS: React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs;
- Strong product thinking ownership mindset ability to ship end-to-end features
Strong product thinking ownership mindset ability to ship end-to-end featurIn office
In Office - New York NY (SoHo)
- 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 AC) 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
1. Can you walk me through your experience with Identity and Access Management systems. Specifically any work youve done with SSO MFA or protocols like OAuth2 SAML or OpenID Connect
2. Which language do you use most day to-day Java or Python and can you describe a project where you built or optimized a secure backend service (Do not have to get too technical but client wants to know they have projects they can speak about).
3. Have you worked in any regulated environments like healthcare or finance where compliance (HIPAA SOC 2 ISO 27001 etc.) was important (Even if not healthcare candidates should show structured thinking about compliance and security standards)
4. What interests you about working on healthcare technology and are you comfortable working hybrid in Pleasanton three days a week
Required Skills:
Sr Full Stack Engineer React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs. 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 Interview Stages 4 MUST HAVE SKILLS React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs Strong product thinking ownership mindset ability to ship end-to-end features Remote/Hybrid/In office In Office
Required Education:
Masters Preferred
Job Title: Senior Full Stack Software Engineer - on siteLocation: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 infrastruct...
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.
- 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
- Interview Stages 4
- MUST HAVE SKILLS: React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs;
- Strong product thinking ownership mindset ability to ship end-to-end features
Strong product thinking ownership mindset ability to ship end-to-end featurIn office
In Office - New York NY (SoHo)
- 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 AC) 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
1. Can you walk me through your experience with Identity and Access Management systems. Specifically any work youve done with SSO MFA or protocols like OAuth2 SAML or OpenID Connect
2. Which language do you use most day to-day Java or Python and can you describe a project where you built or optimized a secure backend service (Do not have to get too technical but client wants to know they have projects they can speak about).
3. Have you worked in any regulated environments like healthcare or finance where compliance (HIPAA SOC 2 ISO 27001 etc.) was important (Even if not healthcare candidates should show structured thinking about compliance and security standards)
4. What interests you about working on healthcare technology and are you comfortable working hybrid in Pleasanton three days a week
Required Skills:
Sr Full Stack Engineer React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs. 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 Interview Stages 4 MUST HAVE SKILLS React TypeScript Go Postgres AWS Kubernetes GraphQL/REST APIs Strong product thinking ownership mindset ability to ship end-to-end features Remote/Hybrid/In office In Office
Required Education:
Masters Preferred
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