---
title: 'Full Stack Engineer, New Grad at Faraday'
canonical: 'https://feeny.ai/job/full-stack-engineer-new-grad-faraday-new-york-1y64rzqe8fwn'
type: 'job'
last_seen: '2026-10-15'
---

# Full Stack Engineer, New Grad at Faraday

- **Company:** Faraday
- **Location:** New York, NY
- **Compensation:** $90k–$110k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-14
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.gem.com/faraday/am9icG9zdDp45r8p8Qv12GgQk6-pqknX

## Job description

## About Faraday

Home services contractors, like your HVAC tech, your electrician, your plumber, spend hours every week on paperwork. Permits filed by fax. Warranty claims typed into PDFs. Manufacturer rebates chased down by phone. Come help us modernize this $600B industry.

We're building technology that takes those workflows off contractors' plates entirely. We've grown 300% in the last nine months, partner with some of the largest home services brands in the country, and are backed by top-tier VCs. Our low-ego, high-output team works together in Chinatown, NYC.

## About the role

We're hiring our first new grad engineer. You'll ship to production in your first week, talk to customers in your first month, and own meaningful surfaces of our product within your first quarter. You'll work directly with the rest of the company and senior engineers, who care about helping you become an exceptional engineer fast.

## What you'll do

- Ship features end-to-end across our platform: frontend, backend, and the model orchestration layer in between
- Build internal tools that make our team and our customers faster
- We have no PMs. Our engineering team is expected to own customer problems end to end.
- We're pushing new features to our users every day, and you'll be one of the people doing it

## Our stack

TypeScript end-to-end (Node + Next.js) with Postgres, all hosted on Render. We use Anthropic, OpenAI, Gemini, and Azure for our LLM providers. You'll touch all of it.

## Who you are

- Graduating in 2025 or 2026 with a degree in computer science, or self-taught with an equivalent foundation. We care about ability, not credentials.
- Strong fundamentals in data structures, algorithms, and system design. Without Claude doing the thinking for you
- Insatiably curious. You read about how things work for fun, and you go deep when something doesn't make sense.
- Excited to bring new tooling and new ways of thinking to the team. New grads bring fresh perspective, and we want to learn from you as much as you learn from us.
- A track record of building things: internships, OSS, side projects, hackathons, course projects you took further than you had to. Show us something you've built.
- Excited to be in person in NYC four days a week, learning from people sitting next to you

First 90 days

You'll come up to speed on our existing product suite, pair with senior engineers on the harder pieces, and start owning shipped features end-to-end.

## Why this role

- Real ownership from day one, not eighteen months of "ramp"
- Direct mentorship from founders and senior engineers who care about your growth
- Work on AI systems that move money and labor in the real economy, not chatbots
- A front-row seat at a company at the inflection point between seed and Series A

## Compensation and benefits

- $90,000–$110,000 base, depending on experience, plus meaningful seed-stage equity
- Work on cutting-edge AI with massive real-world impact
- Medical, dental, and vision benefits
- Take-what-you-need vacation policy
- An office in Chinatown we actually like coming to

## About Faraday

## Company Overview
- **One-liner**: Faraday is a customer context platform that provides enriched consumer data and predictive machine learning models on approximately 240 million U.S. adults, powering personalized marketing, AI agents, and smarter customer experiences.
- **Entity Type**: Private (raised $11.4M in total funding across multiple rounds, most recently a convertible note in 2022)
- **Headquarters**: Burlington, Vermont, United States
- **Founded**: 2012
- **Founders**: Andy Rossmeissl (CEO), Robbie Adler (Chief Strategy Officer), Seamus Abshere (CTO & CISO)

## Core Business
- Primary industry/industries: Customer Data, Predictive Analytics, Marketing Technology, AI Infrastructure
- Target customers: B2B – consumer brands (home services, financial services, retail/e-commerce, health & wellness), marketing agencies, and AI platforms / SaaS companies that embed consumer intelligence into their own products
- Mission or purpose: Provide grounded, ethical consumer context so that every engagement – whether human or AI-driven – has the power of understanding

## Products & Services
- **Faraday Identity Graph (FIG)**: A database of 1,400+ responsibly‑sourced attributes covering demographics, financial signals, property details, and lifestyle metrics for about 240 million U.S. adults and their households.
- **Custom Predictive Scores**: Automatically built machine learning models that predict likelihood to convert, churn, forecasted spend, next best offer, persona clustering, and more – trained on the customer’s own first‑party data combined with FIG.
- **Faraday Pro**: A self‑service interface for quickly selecting and deploying context (attributes, identity resolution, or custom predictions) via real‑time lookup, file append, or warehouse connection; pay‑per‑match pricing.
- **Faraday Enterprise**: A managed account version of the platform that includes a dedicated context consultant, API access, and annual engagement – designed for complex use cases, custom models, and integration into existing stacks.
- **MCP (Model Context Protocol) & Real‑time API**: Deliver context directly into AI agents’ context windows or via millisecond‑response APIs, enabling agentic workflows and continuous deployment across CRMs, data warehouses, and 50+ marketing tools.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Annual Revenue of $2M (based on LinkedIn data); Total Funding of $11.4M (last round: convertible note in June 2022)
- **Notable Investors/Partners**: FreshTracks Capital (led Series A in 2014); other investors include participants in multiple Series A rounds and a grant. Partners include major data warehouses, cloud providers, and marketing tools.
- **Growth Signals**: Headcount of 31 employees (‑10.2% YoY), distributed across 5 countries; 3,906 LinkedIn followers (+8.6% yearly); SOC 2 Type II certified since 2020; HIPAA compliant (BAA available); maintains NIST 800‑53 risk management and continuous auditing.

## Competitive Advantages
- **Large, ethically‑sourced identity graph**: 1,400+ attributes on 240M adults, fully licensed from reputable vendors – never scraped or reliant on third‑party cookies.
- **Built‑in responsible AI**: Bias detection and mitigation, prediction explainability, and transparent reporting ensure models are fair and auditable.
- **Regulatory compliance**: SOC 2 Type II, HIPAA, GDPR, CCPA, and 14+ U.S. state privacy laws – a strong trust foundation for sensitive industries.
- **Co‑founder continuity**: All three founders still actively lead the company, providing deep domain expertise and long‑term strategic stability.

## Strategic Focus
- **Powering AI agents**: Investing heavily in MCP and real‑time API delivery to serve agentic AI tools and workflows that need live consumer context.
- **Vertical expansion**: Targeting home services (roofing, HVAC, solar), financial services (banks, credit unions, insurance), retail/e‑commerce, and health & wellness.
- **Platform approach**: Enabling partners (AI platforms, SaaS companies, agencies) to embed Faraday’s data and ML infrastructure as a white‑label or integrated capability.

## Why Work Here
- **Mission‑driven, ethical tech**: Focus on responsible data sourcing, bias mitigation, and transparent AI – appealing to engineers and data scientists who care about privacy and fairness.
- **Small, distributed team**: 31 people across 5 countries (US, UK, Canada, Paraguay, Italy) – likely offers remote‑first flexibility with a close‑knit culture.
- **Technical depth**: Work on a full‑stack platform involving identity resolution, machine learning pipelines, real‑time APIs, and MCP integrations – strong opportunities for growth in data engineering, ML, and infrastructure roles.
- **Long‑tenured leadership**: Co‑founders still active, providing stability and direct mentorship.
- **Company size**: Small enough to have high impact, but with a decade of product maturity and enterprise customers.

## Sources
1. [faraday.ai/about](https://faraday.ai/about)
2. [faraday.ai](https://faraday.ai/)
3. [linkedin.com/company/faradayai](https://www.linkedin.com/company/faradayai)
4. [levels.fyi/companies/faraday](https://www.levels.fyi/companies/faraday)
5. [faraday.ai/docs/intro/welcome](https://faraday.ai/docs/intro/welcome)
6. [jobs.gem.com/faraday](https://jobs.gem.com/faraday) (Careers page)

## Other roles at Faraday

- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-faraday-new-york-psza1p8v9yj2) — New York, NY
- [Senior Full-Stack Engineer](https://feeny.ai/job/senior-full-stack-engineer-faraday-new-york-jnh5c143pd1p) — New York, NY