Member of Technical Staff - Atlas

Job Description

Job Description

Member of Technical Staff - Atlas

Company: Confidential — venture-backed technology company
Location: New York, NY (Flatiron office, in person 5 days per week)
Compensation: $150,000 - $300,000 + highly competitive equity
Employment Type: Full-time
Visa Sponsorship: Visa transfers (OPT, H-1B transfer)

About the Company

The client started from the belief that AI agents would become integral to knowledge work, and that accounting (structured, high-stakes and essential to every business) would be among the first domains transformed. Three years in, the client can complete a partnership tax workbook end to end, and accountants use it daily to create complex journal entries and debug reconciliations, with capabilities improving every month.

The client has raised a $140M Series B.

The Role

The client is hiring full-stack and agent engineers for Atlas, its internal agent team, with one mandate: make every employee dramatically more productive. Atlas is a group of builders, former founders and engineers who embed directly with the client teams to build intelligence into their workflows. It has already shipped agent teammates that push code to production, systems that keep company knowledge current automatically and services that diagnose and repair themselves. The goal is zero-human loops that handle entire jobs end to end.

What You Will Do

• Build agent systems that do real work inside the client: coding agents, knowledge systems and self-healing services.
• Design context architecture: define sources of truth and make company knowledge navigable for agents and people.
• Embed with internal teams to understand their workflows and data, then build agents that take over entire jobs.
• Invent new infrastructure, interfaces and operating models for humans and agents working together.
• Own outcomes as the single Responsible Party for your projects.

What You Bring

• 5-15 years building 0-to-1 products as a full-stack engineer
• Experience as a founder, founding engineer or engineer at a fast-paced startup (seed to Series D) with high ownership
• Deeply AI-native: builds agents, has opinions on which models suit which use cases
• Expertise in one full-stack language with a product mindset
• Hands-on with agent SDKs and LLM tooling beyond basic chatbots
• Product management instincts and comfort with ambiguity
• Strong tenures (2+ years per company) and career progression
• Ability to work in person in New York 5 days a week

Nice to Have

• Ambition to found a company in the future
• Undergraduate degree from a top global university

Benefits

Unlimited coding-agent token budget for every engineer.

Interview Process

Initial screening, meet-the-team call, technical coding interview, onsite plus references.

Tech Stack

TypeScript, Python, AI agents, infrastructure

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