Senior Software Engineer

About the role

This role focuses on building and scaling the AI platform that powers autonomous web systems. You will design and deliver core infrastructure that processes massive web event streams and powers experimentation. The position targets experienced fullstack builders who shape both technology and team practices.

Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.

Key facts

What you'll do

Design large-scale data infrastructure that explains website construction, performance behavior, and optimization opportunities, turning raw events into actionable insights.

Shape engineering culture and practices by influencing tech stack decisions, architecture standards, and team processes, leaving a clear fingerprint on the codebase.

Experiment, prototype, and iterate across research, product, AI, and scale dimensions, combining exploration and execution in a single workflow.

Requirements

Bring 5+ years of fullstack experience with Python and JavaScript preferred, demonstrating sustained delivery in production environments.

Showcase experience leading teams or driving major projects, indicating proven ability to coordinate complex engineering efforts.

Hold a background in computer science, electrical engineering, mathematics, or equivalent hands-on mastery that supports advanced system design.

Maintain fluency with AI concepts and express interest in building with LLMs while shaping real-world application patterns.

Work in an office-first setting with four days per week in Midtown Manhattan, aligning with team collaboration expectations.

Practical notes

The role offers competitive compensation, meaningful equity, full health coverage, unlimited PTO, tax-free commuter and parking benefits, and free One Medical membership. Typical interview steps

Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.

Good to know

The role involves general-purpose tools for data pipelines, web experimentation, and large language models.

Work centers on an AI-driven product focused on self-optimizing web systems.

The environment emphasizes fast iteration, low ego, and radical transparency.

Ownership and impact are prioritized over mere output, with shipping as a baseline expectation.

The culture rewards curiosity, agility, and continuous mastery.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.