Currently hiring
across the network.

A growing enterprise software company is seeking a DevOps Engineer to support the deployment, maintenance, and continuous improvement of its cloud-based software platform.

Full-time · IT & Software · Posted 9 Nov 2026

A well-funded health technology startup is seeking a hands-on Electrical Engineer to join its growing research and development team in Newark, New Jersey. The employer is developing a first-of-its-kind wearable biosensor platform designed for continuous, non-invasive health monitoring.

Full-time · IT & Software · Posted 9 Nov 2026

The employer is building foundational AI models for tabular data, time series, and structured data more broadly.

Full-time · IT & Software · Posted 9 Nov 2026

The employer is a Series A-funded AI-native automotive platform focused on EV retail, building the next generation of technology for shopping for and operating automotive inventory. The founding and early team includes talent from companies such as Uber, Tesla, Rivian, Lithia, Penske, Carvana, Lyft, Meta, J.P.

Full-time · IT & Software · Posted 9 Nov 2026

As a Member of Technical Staff, you’ll work across the full application stack, collaborating directly with the founding team to design, build, deploy, and scale the employer’s core platform. This is not a narrowly defined engineering role.

Full-time · IT & Software · Posted 9 Nov 2026

This is a broad, high-ownership engineering role spanning backend systems, cloud infrastructure, distributed systems, machine learning infrastructure, developer tooling, and production operations. As one of the employer’s founding engineers, you’ll work closely with leadership to design and build the technical foundation of the platform.

Full-time · IT & Software · Posted 9 Nov 2026

The Full-Stack Software Engineer will work across the entire product stack, helping build and scale the employer’s healthcare marketplace. This role includes designing new product features, improving platform performance, integrating with healthcare sistems, and collaborating closely with Product, Design, and Clinical Operations teams.

Full-time · IT & Software · Posted 9 Nov 2026

Our Client is an AI-driven document intelligence company focused on transforming tax and accounting workflows through machine learning and automation. Recently acquired by Thomson Reuters, the company maintains a fast-paced startup culture while benefiting from strong enterprise backing.

Key Responsibilities:
- Build and scale ML deployment systems for training and production
- Design scalable backend architecture for rapid product development
- Develop pipelines that extract structured data from complex tax documents
- Integrate LLM workflows, ML inference systems, monitoring, and business logic
- Build and maintain APIs, database layers, and backend infrastructure
- Support CI/CD pipelines and engineering velocity
- Collaborate directly with accountants and end users to refine workflows and product requirements
- Own features and systems end-to-end from architecture to deployment

Required Qualifications:
- 5+ years of backend engineering experience
- Strong Python development experience
- Experience handling large and complex datasets
- Proven ownership of features from design through deployment
- Strong backend system design and architecture experience
- Comfortable working directly with customers or end users
- Ability to thrive in fast-paced product environments
- Willingness to work onsite in San Francisco or relocate

Preferred Qualifications
- Experience in Big Tech or high-scale engineering organizations

Experience with:
- GCP
- Kubernetes
- Modern backend frameworks
- Production ML systems
- LLM workflows
- Startup or scale-up experience preferred

Full-time · IT & Software · Posted 6 Jun 2026

Our Client is an AI-native insurance intelligence platform backed by Goldman Sachs and over $100M in funding. Their technology powers underwriting automation and AI-driven risk prioritization systems for insurers.

Key Responsibilities:
- Build and deploy ML + LLM systems into live underwriting workflows
- Own ML systems from deployment through monitoring and optimization
- Design evaluation and monitoring frameworks
- Improve production reliability and model accuracy
- Work closely with data science, engineering, and customer-facing teams
- Build agentic AI systems used in real financial decisioning

Required Qualifications:
- 2–6 years ML engineering experience
- Production ML deployment experience
- Strong Python skills
- Cloud-based ML infrastructure experience
- Experience debugging and monitoring ML systems
- Strong product ownership mindset

Preferred Qualifications:
- LLMs and prompt engineering
- Agentic workflows
- Startup or scale-up experience
- Customer-facing engineering exposure
- Fintech, insurance, or SaaS experience

Full-time · IT & Software · Posted 6 Jun 2026

August is a fast-growing legal tech AI startup backed by NEA, Pear VC, and Afore Capital with $27M raised in Series A funding.

Key Responsibilities:
- Build outbound automation systems
- Integrate GTM APIs and tools
- Build lead generation pipelines
- Create A/B testing frameworks
- Develop analytics and SEO infrastructure
- Build internal revenue-driving systems

Required Qualifications:
- Strong Python and TypeScript/JavaScript
- Experience building production automation systems
- High-growth startup or top-tier tech experience
- 4-year CS or Engineering degree
- Metrics-driven ownership mindset
- Comfortable in high-agency startup environments
- Ability to work onsite in NYC

Preferred Experience:
- HubSpot
- Clay
- Apollo
- PostHog
- Growth engineering
- Data pipelines
- API infrastructure

Full-time · IT & Software · Posted 6 Jun 2026

Our Client is an AI-native revenue automation platform helping finance teams automate billing, collections, revenue recognition, and reporting workflows. The company has raised over $91M and is backed by Lightspeed, General Catalyst, and Primary.

Key Responsibilities:
- Lead teams of 10–15 engineers
- Drive execution and engineering strategy
- Partner with Product and Design
- Scale hiring and onboarding
- Support system architecture and delivery

Required Qualifications:
- 7–10+ years engineering experience
- 3+ years engineering management experience
- Startup or scale-up background
- Strong systems design capability
- Experience managing 8–15 engineers
- Fintech/SaaS experience preferred
- Comfortable onsite in NYC

Full-time · IT & Software · Posted 6 Jun 2026