Software Engineer
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Role details
Tech stack
Job description
Own and ship features end-to-end across the company’s core product surfaces, working closely with design, operations, GTM, and deployed-services teams to turn complex enterprise workflows into simple, powerful interfaces. In person in NYC, 5 days/week., * Own features end-to-end, from technical design through implementation, launch, and iteration
- Work directly with design and customers to translate complex enterprise workflows into simple, powerful interfaces
- Build rich document generation, synthesis, and review experiences on top of LLM infrastructure
- Develop integrations and data surfaces that connect enterprise tools (Confluence, Jira, SharePoint, etc.) into seamless product workflows
- Drive product quality through instrumentation, experimentation, and tight feedback loops with users
Tech stack: Full-stack - React/Next.js front end, APIs and data layer, LLM infrastructure, enterprise integrations (Confluence, Jira, SharePoint)
Requirements
Do you have experience in GitHub?, * Strong fundamentals in full-stack engineering or AI integration and can ship features end-to-end
- Comfortable working full-time in NYC office
- Strong communicator and team player
- Strong company backgrounds and experiences
- No school pedigree required, but must show extremely strong builder capability (active GitHub, won Hackathons/built projects)
Green Flags
- Demonstrated ability to ship product fast (personal projects, internships)
- High learning velocity and autonomy
- Strong cultural fit: humble, hardworking, low-ego
- Interest in joining an early-stage team
- Solid proficiency in React/Next.js or backend infra
Red Flags
- Slow execution speed or inability to adapt quickly
- Needing hand-holding to complete core features
- Preference for remote/9-to-5 lifestyle
- Sloppy code with basic bugs in PRs
- Lack of motivation to learn new technologies on the fly
About the company
A seed-stage startup building the AI layer for professional services and software implementation - automating the documentation, discovery, and decision-making behind a $400B+ services category. Targeting one of the largest software opportunities of the decade.
Founded 2025 · 11-50 people · Industry: AI Tools
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