Member of Technical Staff, Forward-Deployed Engineering

Quadrillion; New York (NY); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Lunch and dinner coverage

Varied stipends

Job summary

Quadrillion Labs is looking for a Forward-Deployed Engineer in New York, NY, who excels at blending technical skills with customer relations. You will deploy our platform, Qualia, into unique environments while managing interactions with clients. Ideal candidates have strong engineering experience, particularly in Python, and thrive in customer-facing roles.

Join a collaborative team that values diversity and offers competitive benefits including medical, dental, and generous meal coverage. We work in person 5 days a week in Midtown Manhattan.

Qualifications

• Strong full-stack or backend engineering experience, especially with Python.
• Previous experience as a Forward-Deployed Engineer or in a strongly customer-facing role.
• Comfort working in unfamiliar codebases.
• Ability to move quickly in a zero-to-one environment.

Responsibilities

• Deploy Qualia in customers' real environments.
• Build prototypes to meet customer needs and improve workflows.
• Manage customer relationships and provide support.

Skills

Full-stack or backend engineering experience

Experience with Python

Customer-facing role experience

Ability to work in unfamiliar codebases

Quick adaptability in a zero-to-one environment

Job description

As a Forward‑Deployed Engineer at Quadrillion Labs, you'll represent our company in our work with our highly varied set of customers. This is not a traditional FDE role: we are looking for folks who combine enormous technical excellence with deep empathy and an ability to work with customers from a wide variety of verticals. You'll work closely with the core engineering and product teams to triage features and identify ways to improve customer outcomes.

What you'll do

• Deploy Qualia into customers' real environments. Stand up Qualia in unusual enterprise environments, connect to their unique data sources, and navigate their (both engineering and business) constraints.

• Build what customers need to succeed. Prototype integrations and workflows that answer customer needs, and transfer your learnings into production for all of our customers.

• Manage customer/product relations. Be the first line of defense for the company; speak to our customers in Slack, over email, and in person, and get them excited about using Qualia.

Required qualifications

• Strong full‑stack or backend engineering experience, especially with Python

• Previous experience as a FDE or previous experience in a strongly customer‑facing role

• Comfort working in unfamiliar codebases

• Ability to move quickly in a zero‑to‑one environment

About this role

We work in‑person 5 days a week out of our office in Midtown Manhattan. We cover generous benefits for employees, including medical, dental, and vision insurance, lunch and dinner covered, and other varied stipends.

We pride ourselves on a company culture that values a diversity of thoughts and opinions.

About Quadrillion

Quadrillion Labs builds Qualia, an agentic research intelligence platform that does real computational research — running experiments, analyzing data, and surfacing insight for the people who do this work at the highest level.

We're a team out of Stanford NLP, HRT, Citadel, Jane Street, Google Research, and Harvard Med, building for an audience that looks a lot like us. We've raised ~$18M from Conviction, Audacious, Bloomberg Beta, ex/ante, and angels including Wes McKinney, the creator of pandas. We're ~10 people in NYC, scaling to ~15 in the coming months.

We think this is the Industrial Revolution moment for research, and we're building the team to define what comes next.

Equal Employment Opportunity

Quadrillion Labs is an equal opportunity employer. We make hiring and employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by federal, state, or local law. We are committed to building a team where talented people can do their best work.

If you need a reasonable accommodation during the application or interview process, let us know at [e-mail].