---
title: 'Senior Full-Stack Engineer at Faraday'
canonical: 'https://feeny.ai/job/senior-full-stack-engineer-faraday-new-york-jnh5c143pd1p'
type: 'job'
last_seen: '2026-10-15'
---

# Senior Full-Stack Engineer at Faraday

- **Company:** Faraday
- **Location:** New York, NY
- **Compensation:** $160k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-09-30
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.gem.com/faraday/am9icG9zdDqmTBDxS17nKvhUlj6NuRrG

## Job description

## About Faraday

Faraday is automating the back office for the $600B home services industry (think HVAC, plumbers, electricians). Contractors are buried in essential paperwork - like permits, warranties, and rebates. Our AI agents take on these complex workflows so projects stay on track, contractors get paid faster, and homeowners get a smoother experience.

In the past 9 months, we’ve grown 300% and partnered with some of the leading US home service brands. Backed by top-tier VCs, we’re growing our low ego, high-output team in Chinatown, NYC.

## What you'll do

- Build and scale our AI agent platform and internal tools
- Work closely with customers to prioritize feature development
- Ship new features end-to-end
- Own backend services, APIs, and integrations with CRMs like ServiceTitan

## Who you are

- 5+ years of work experience in full-stack development (we know great early stage engineering can come from a variety of backgrounds)
- Proficient in TypeScript/JavaScript and experience with cloud platforms (e.g., AWS, GCP, Azure, etc)
- Strong familiarity with AI, LLMs, or AI-assisted systems - or a willingness to learn fast
- Experience and desire to be in startup environments, either as a founder or an early-stage engineer
- Eagerness to work in person with us in NYC full time

## Benefits

- 160,000 - 200,000, depending on experience, plus meaningful seed stage equity
- Work on cutting-edge AI with massive real-world impact
- Work from an amazing office in NYC
- Medical, dental, and vision benefits
- Take what you need vacation policy

## 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)

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