Staff Software Engineer, AI Developer Experience

About the role

Staff Software Engineer, AI Developer Experience

We are seeking a Staff Software Engineer to lead the evolution of AI-driven development practices within our engineering organization. This position is responsible for shaping how artificial intelligence enhances the daily work of our engineers. The role involves defining long-term technical strategies and delivering robust platforms that empower developers. You will operate at the intersection of tooling, automation, and machine intelligence. The position is based in our New York City office.

The standard in-office days are Monday, Tuesday, and Thursday. Most team members have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you are interviewing for this role, your recruiter will share more about the in-office requirements.

What You'll Achieve

You will architect systems that enable AI to deeply understand codebases and adhere to rigorous engineering standards. The goal is to accelerate the delivery of software by making agentic workflows reliable and intuitive. You will build cloud-native agents capable of executing complex, multi-step engineering tasks with minimal human intervention. These capabilities are intended to reduce repetitive effort and allow engineers to focus on creative problem-solving.

You will be responsible for crafting integrations for IDEs, editors, and command-line interfaces. The aim is to make AI assistance feel like a natural extension of the developer's existing tools. Creating a library of reusable skills and context is essential to prevent redundant effort across the company. You will refine the AI code review process to ensure engineers receive timely, high-quality feedback. Driving the adoption of these tools across the organization will be a core responsibility, supported by clear documentation and enablement programs.

About You

This role requires a substantial background in software development. You should bring more than eight years of experience building complex software systems. A significant portion of this experience should involve leading projects that impact multiple teams. Your background should include work on developer tools, internal platforms, or infrastructure. Experience with command-line interfaces and workflow automation is also important.

You must have hands-on experience with modern AI-assisted development environments. This includes tools such as cursor-based editors, agent-driven code generation platforms, and model context protocols. You have worked with or extended systems that manage AI-powered code review. Your experience may include building agent skill sets and tool ecosystems. You have designed evaluation frameworks to assess the quality and correctness of AI-generated code.

You possess strong technical judgment and systems design capabilities. You make sound decisions even when requirements are ambiguous or timelines are aggressive. Your curiosity about AI tools is genuine; you actively explore how these tools can improve collaboration and decision-making. You communicate technical concepts clearly to diverse stakeholders.

What We Offer

Our compensation philosophy is designed to recognize impact relative to market value. We conduct regular pay equity audits to ensure fairness and objectivity in our compensation decisions. For this role, the base salary range is between two hundred forty-eight thousand dollars and two hundred eighty-two thousand dollars. The final offer will reflect the candidate's qualifications and market conditions.

The total compensation package may include additional components such as equity and performance incentives. Benefits are designed to support employees globally and promote well-being. These include mental health and wellness resources, career development coaching, and inclusive family-building policies. The package also features long-term savings and retirement planning options. In-office culinary options are provided to support daily work-life balance.

Key Facts

What you'll do

You will investigate and resolve complex interactions between AI tooling and developer workflows to enhance productivity. The role involves synthesizing feedback from diverse engineering teams to inform platform decisions. You will prototype novel interfaces that abstract the complexity of AI agent orchestration. Implementing observability and debugging tools for AI-assisted workflows will be a standard part of the job. You will collaborate with security and privacy teams to ensure compliance and data protection standards. The position requires you to translate high-level product goals into concrete technical requirements and milestones. You will mentor other engineers on best practices for leveraging AI tools effectively and safely. Establishing guardrails and governance models for AI usage across the engineering lifecycle is a critical function of this role.

Requirements

You must possess a Bachelor's degree in Computer Science, Engineering, or a related field, or have equivalent practical experience. A minimum of eight years of professional software engineering experience is mandatory. You need to have led projects that influenced multiple teams or departments. Demonstrated expertise in building or maintaining developer tools, internal platforms, or infrastructure is required. Hands-on experience with command-line interfaces and automation frameworks is essential. You must have practical experience with modern AI development environments and model context protocols. A proven track record of working with AI-powered code review or similar systems is necessary. You should have experience designing and maintaining agent skill sets or tool ecosystems. The ability to design evaluation methods for AI-generated code is a required competency. You must be capable of making high-quality technical decisions under tight deadlines and ambiguous constraints.

Nice to have

Experience contributing to open-source projects related to developer tools or AI. Familiarity with large language model operations and prompt engineering techniques. Knowledge of secure software development practices and compliance frameworks.

Practical notes

This is a full-time role based in New York City. Standard in-office days are Monday, Tuesday, and Thursday. Remote work options exist for Wednesdays. Friday remote work depends on role and team needs. Employment is at-will.