Design and build scalable AI management systems. Integrate AI APIs, deliver full-stack features, and collaborate closely with the founding team.
After decades of managing tens of thousands of people, we've seen firsthand how traditional HR and management tools have failed to deliver real transformation. While nearly every aspect of work has evolved dramatically over the past 50 years, the way companies are managed has remained stuck in the past.
We're building the AI management system that will fundamentally change how companies are built, scaled, and managed over the next five years. This isn't just another HR tool—it's the infrastructure that will allow businesses to adapt and thrive in an AI-driven world.
The RoleWe're seeking a mid-to-senior software engineer to help build the future of business management. You'll be working on cutting-edge AI systems that directly impact how companies operate, scale, and succeed.
What you'll do:
- Design and build scalable backend systems powering our AI management platform
- Integrate with modern AI APIs and develop intelligent automation workflows
- Work across the full stack to deliver end-to-end features
- Collaborate closely with our founding team to shape product direction
- Build systems that can handle the complexity of managing thousands of employees
- 5-10 years of software engineering experience (full-stack or backend-focused)
- Hands-on AI integration experience - you must have written API requests to OpenAI (or similar LLMs) in production or personal projects
- Strong technical foundation in Node.js, TypeScript, and PostgreSQL
- Startup experience - ideally at high-growth companies, or exceptional candidates from Big Tech
- Side project experience - you've built and launched something on your own
- Former founder or founding engineer experience
- CS degree from a top-tier university (MIT, Stanford, etc.) - preferred but not required
- Recognition in competitive programming, math olympiads, or acceptance into selective programs (Recurse Center, Thiel Fellowship, etc.)
- Deep curiosity about AI and its applications in business
- Self-starter mentality - you thrive with autonomy and ownership
- Strong communication skills - you can explain complex technical concepts clearly
- Adaptability - you're excited about the ambiguity and rapid pace of early-stage startups
- Commitment to excellence - you take pride in building high-quality, scalable systems
- Competitive salary: $140,000 - $200,000 (based on experience)
- Significant equity package in a fast-growing company
- Comprehensive health, dental, and vision insurance
- Unlimited PTO policy
- Work directly with experienced founders and senior engineers
- Shape the architecture of systems that will serve thousands of companies
- Stay at the forefront of AI and business management innovation
- Clear path for technical and leadership growth as we scale
- In-person collaboration in our NYC office (4-5 days/week)
- Modern tech stack and development tools
- Small, focused team where your impact is immediately visible
- Direct influence on product and technical decisions
Please include with your application:
Your resume highlighting relevant AI and startup experienceEmerge New York, New York, USA Office
New York, United States
Similar Jobs
Consumer Web • eCommerce • Internet of Things
Build and maintain production SDKs (TypeScript, Python, Go) and integrations for AI agent frameworks and edge runtimes. Implement DNSid identity flows, cryptographic key lifecycle, middleware/plugins, testing and CI pipelines, package releases, and reference apps. Collaborate with Developer Advocates and technical writers while contributing upstream to third-party frameworks and shaping protocol specifications.
Top Skills:
A2ACertificate ChainsCi/CdCloudflare WorkersCrewaiDnsDns Operator ApisDnssecEd25519Es256Fastly ComputeGitGoGo Module ProxyGo ModulesHttp/1.1Http/2Jwk SetsJwtLangchainLanggraphLlamaindexMcpMicrosoft Agent FrameworkMtlsNpmOauth 2.0OidcOpenai Agents SdkPypiPythonSemantic VersioningSpiffe/SpireTlsTypescriptVercel EdgeWebassemblyWebid
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Build, maintain, and improve local and remote coding agent sandboxing solutions to secure SDLC workflows. Drive technical roadmap, implement safeguards and integrity mechanisms, integrate security with platform and DevOps teams, mentor junior engineers, participate in incident response, and ensure pragmatic user-focused security for production environments.
Top Skills:
AWSAzureGCPGoJavaScriptKubernetesLinux LandlockMacos SeatbeltPythonRust
Fintech • Mobile • Social Impact • Financial Services
Senior fullstack engineer to build and scale Brigit's consumer finance platform. Own end-to-end features across frontend (React/React Native/TypeScript) and backend (Java/REST/SQL), optimize database and APIs for high scale, integrate 3rd-party services, implement risk and transaction algorithms, improve CI/CD, testing, monitoring, and internal tooling to support millions of users.
Top Skills:
Ci/CdDockerGCPGraphQLJavaKubernetesReactReact NativeRestSQLTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
