Currently hiring
across the network.

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