---
title: 'Founding Engineer at Applied Labs'
canonical: 'https://feeny.ai/job/founding-engineer-applied-labs-new-york-0qgrm4d51g39'
type: 'job'
last_seen: '2026-09-06'
---

# Founding Engineer at Applied Labs

- **Company:** Applied Labs
- **Location:** New York, NY
- **Employment:** full-time
- **Posted:** 2024-09-25
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/appliedlabs/add6d376-a634-4c81-9b01-c30328c2bdf0

## Job description

## About us

- At Applied Labs, we’re building the platform for reliable AI agents that automate complex work. We are primarily an in-person company based in New York City.

## Why this could be a fit

- Trajectory: 10x growth in 4 months; strong momentum.
- Ownership: High autonomy; own systems end‑to‑end.
- Challenging problems: Design novel, reliable solutions for complex tasks.
- Team quality: Early team from Harvard, MIT, Gemini, Meta.

## What you’ll do

- Own core agent systems from idea to production: orchestration, tool‑use, planning, memory, evals.
- Architect for reliability: design agent loops and guardrails that hold up under real‑world edge cases.
- Ship fast, learn faster: run experiments, measure outcomes, iterate weekly.
- Collaborate tightly with the founders in NYC to set product direction, quality bars, and engineering culture.
- Set the blueprint: your design decisions, documents, and code style become the standard for future hires.

You might thrive in this role if you:

- Have shipped production systems end‑to‑end and love owning outcomes.
- Care deeply about reliability, not just demos - tests, evals, and metrics matter to you.
- Are product‑minded: you ask “what does the user need?” and then build the simplest thing that works.
- Prefer in‑person collaboration and fast decision cycles.
- Want to help define the engineering culture at a company that’s scaling quickly.

Our tools

- We currently build with Python, Go, React, Clickhouse, K8s, Bazel, Postgres, GCP, Modal
- We hire for ability, not checklists.

## Compensation & benefits

- Competitive salary + significant equity
- Flexible (Unlimited) Paid Time Off
- Medical, Dental, and Vision benefits for you and your family
- Fancy lunches (think Nubiani), as well as snacks, coffee, or boba that always hits the spot
- Relocation support to NYC if needed.

Apply

- Send a short note and your LinkedIn/GitHub to careers@appliedlabs.com (or apply on our site).

## About Applied Labs

## Company Overview
- **One-liner**: Applied Labs provides a next-generation AI-native customer experience platform that uses AI agents, a help desk, CRM, and analytics to automate support tickets and drive growth with outcome-based pricing.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: New York, New York, USA
- **Founded**: 2024
- **Founders**: Michael Woo (CEO & Co‑founder)

## Core Business
- **Primary Industry**: Artificial Intelligence / Customer Experience (CX) Software
- **Target Customers**: B2B – large enterprises and fast‑growing ambitious companies (e.g., FabFitFun, Sundays for Dogs, Truemed)
- **Mission/Purpose**: Turn CX into a growth engine by combining high‑quality AI agents, unlimited‑seat help desk, CRM, and AI‑driven insights – with a focus on outcomes and customer devotion.

## Products & Services
- **AI Agents**: High‑quality, reliable conversational AI that automates 70%+ of support tickets while maintaining 90%+ CSAT. Designed for complex, multi‑step interactions.
- **Applied Assistant**: An AI‑powered assistant that helps CX teams resolve issues faster.
- **Help Desk (Unlimited Seats)**: A full‑featured help desk with zero per‑seat fees, unified inbox, and smart routing.
- **AI‑Native CRM**: A customer relationship management system that updates automatically from every interaction, providing cross‑sell/upsell suggestions and growth ideas.
- **Analytics & AI Insights**: Real‑time analytics that surface customer sentiment, resolution patterns, and growth opportunities.

## Market Standing
- **Valuation**: Not publicly disclosed (Seed‑stage, no valuation reported)
- **Key Metric**: Total Funding: $4.2 M (Seed round led by Abstract Ventures, Jan 2025) – Tracxn reports $5.2 M total, citing a possible later round or different counting.
- **Notable Investors/Partners**: Abstract Ventures (lead), with at least six investors in the seed round.
- **Growth Signals**: 
  - Headcount grew 140% YoY (from ~5 to 12 employees)
  - Monthly web traffic grew 112.5% in the latest month
  - Trusted by “millions of customers” (enterprise logos include FabFitFun, Sundays for Dogs, Truemed)
  - Now handling millions of conversations with >95% CSAT

## Competitive Advantages
- **Outcome‑Based Pricing**: Pay for results (e.g., per resolution) rather than per seat, with a 90‑day risk‑free opt‑out guarantee.
- **Unlimited Seats**: No per‑agent licensing fees, enabling unlimited internal usage.
- **Enterprise‑Grade Security**: SOC 2 Type II, HIPAA, and GDPR‑aligned; least‑privilege access and audit trails.
- **Quality‑First Approach**: Emphasizes high CSAT (95%+) over low‑quality automation, positioning itself as a premium alternative to legacy or “noisy” AI chatbots.

## Strategic Focus
- Continue building a complete, AI‑native CX platform that unifies help desk, CRM, and AI agents.
- Expand proactive customer engagement (cross‑sell campaigns, proactive outreach).
- Scale enterprise adoption by guaranteeing risk‑free outcomes and demonstrating ROI.
- Grow the engineering team (currently hiring Founding Engineer and Design Engineer roles).

## Why Work Here
- **Culture**: High‑trust, high‑velocity startup environment; employees work from a physical office in New York (in‑office policy).
- **Team**: Small, tight‑knit group (~12 people) with backgrounds from Google DeepMind, Scale AI, Harvard, and other top institutions.
- **Impact**: As a Founding Engineer or Design Engineer, you’ll own critical systems, set engineering culture, and work directly with founders.
- **Perks**: Equity, full benefits (inferred from seed‑stage startup norms), and the opportunity to shape a product already used by millions.
- **Engineering Stack**: Modern AI/ML stack, focus on reliability, high‑quality web experiences, and rapid experimentation.

## Sources
1. [appliedlabs.ai](https://appliedlabs.ai/)
2. [linkedin.com](https://www.linkedin.com/company/applied-labs-ai)
3. [tracxn.com](https://tracxn.com/d/companies/appliedlabs/__pLAZAfS7jagHq_m-58u50uF01KAJxKqf5r1oL3yqvhc)
4. [builtinnyc.com](https://www.builtinnyc.com/company/applied-labs-1)
5. [builtin.com](https://builtin.com/company/applied-labs-1/jobs)

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