---
title: 'Backend Engineer at Town.com, Inc.'
canonical: 'https://feeny.ai/job/backend-engineer-town-com-inc-new-york-qzchfp6vhcjt'
type: 'job'
last_seen: '2026-10-16'
---

# Backend Engineer at Town.com, Inc.

- **Company:** Town.com, Inc.
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/town/8e5d8f50-6e3b-452c-8be3-020ee2c489c3

## Job description

## About Town

Town is an AI-powered assistant that connects to your tools to do real work on your behalf -- triaging your inbox, drafting in your voice, managing your schedule, and running workflows across everything you use. It knows you deeply and gets sharper over time.

## About the Role

The core technical challenge at Town is: context from everywhere, action anywhere. The assistant pulls from your email, calendar, Slack, docs, and connected tools to build a deep understanding of who you are and what you need -- then executes reliably across all of them. Town's AI assistant goes beyond a solid harness and decent tool integrations. It has memory that compounds over time, a suggestion engine that discovers what to automate before you think to ask, and network effects where your assistant gets better because your colleagues are using Town too. These are the systems you'll build. You'll be a foundational hire, working across the full backend -- from LLM orchestration and workflow execution to the identity and knowledge layer that makes every interaction smarter than the last. Everyone has direct influence over architecture decisions. There's no platform team to hand things off to -- you own it end to end. The environment is greenfield, and the problems are unlike traditional backend engineering: non-deterministic, cost-sensitive LLM workloads; real-time personalization across a growing knowledge graph; agent-to-agent protocols that work across organizational boundaries.

Example projects include...

- Building the orchestration layer for agentic workflows
- Building multi-provider LLM infrastructure
- Rethinking email, calendar, and contacts as AI-native experiences
- Designing the identity and knowledge layer
- Architecting agent networks
- Building the trust and autonomy system
- Defining what service ownership

You might thrive in this role if you...

- Have built and scaled backend systems through a company's high-growth arc -- you were there during the inflection, not after. We want to hear all your your concrete product scaling stories.
- Are comfortable defining technical direction in ambiguous, fast-moving environments -- not just executing within one
- Think in systems -- distributed systems, data pipelines, APIs, reliability. You're drawn to infrastructure-level problems and the tradeoffs that come with them.
- Have tuned your AI-native coding workflow that makes you dramatically faster and more effective.
- Have experience with LLM infrastructure, agentic systems, or real-time AI workloads in production
- Care about trajectory over tenure. We're less interested in years of experience than how fast you got here and what you built along the way.
- Are excited about working in-person, five days a week. We believe it matters at this stage.

Location 5 days per week in person, in either SF or NYC

## About Town.com, Inc.

## Company Overview
- **One-liner**: An applied AI company building a proactive, persistent AI assistant that learns how you work and acts on your behalf across email, calendar, docs, Slack, and CRM.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2024
- **Founders**: Jean-Denis Greze (CEO, former CTO of Plaid) and Tony Vincent (CPO, former Director of Applied AI at Google)

## Core Business
- **Primary industries**: Artificial Intelligence, Enterprise Software, Productivity
- **Target customers**: B2B (SMB to mid-market teams looking to automate knowledge work)
- **Mission**: "Make it easy for anyone to create and use software in their everyday work." — Town careers page

## Products & Services
- **[Town AI]**: A SaaS assistant that builds a persistent model of a user’s voice, judgment, relationships, and priorities. It observes, learns, and acts without waiting for prompts — triaging inbox, managing schedules, running workflows, and generating drafts. Replaces general-purpose chatbots like ChatGPT and Claude for daily work.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding of **$73M** (Seed $18M + Series A $55M) — some sources report $78.1M, likely including a smaller prior round or adjusted amount.
- **Notable Investors/Partners**: Series A led by **Andreessen Horowitz** with participation from **Forerunner Ventures**, **First Round Capital**, **Alt Capital**, and **Conviction**. Seed led by **First Round Capital**. Angel investors include Adam D’Angelo, Soleio Cuervo, and Immad Akhund.
- **Growth Signals**: Headcount grew **82.4% year-over-year** (LinkedIn, 2026). Currently **13–31 employees** depending on source. Early customers report replacing Claude, ChatGPT, and “OpenClaw” with Town because it “actually understands them.” The company was founded in 2024 and closed a $55M Series A in May 2026, signaling strong investor confidence.

## Competitive Advantages
- **Proactive persistence**: Town builds a model of the user’s preferences and takes action without explicit prompting — a deeper “memory” than chat-only AIs.
- **Deep tool integration**: Connects to email, calendar, Slack, CRM, and docs, acting across all of them.
- **Founder pedigree**: CEO scaled Plaid from $10M to $300M+ ARR; CPO co-founded a company acquired by Google and another by Dropbox.
- **Early traction**: Customers report preferring Town over leading competitors for daily work.

## Strategic Focus
- Aggressively building out the product and team in 2026 (5 open roles across engineering, product, design, business operations, and marketing).
- Scaling from early adopters to a broader SMB/mid-market audience.
- Continuing to iterate on the “persistent AI assistant” paradigm.

## Why Work Here
- **Culture**: “Action first. Chat second.” Principles include owning outcomes, making decisions with 70% information, and debating hard with ego aside.
- **Work environment**: Fully in‑person, five days a week in San Francisco’s Financial District. Early‑stage (one of first ~20 teammates) means high impact and ownership.
- **Compensation**: AI Product Engineer $225K–$300K, Staff Backend Engineer $250K–$300K, Business Operations $130K–$170K, Product Marketing $150K–$200K — all with competitive equity.
- **Benefits**: Fully covered medical, dental & vision; unlimited PTO; free daily lunch; commuter benefits; parental leave; 401(k).
- **Team**: Engineers and operators from Plaid, Apple, Facebook, Stripe, Lyft, Dropbox, CrowdStrike, HubSpot, Quora, and Asana.

## Sources
1. [town.com/careers](https://town.com/careers)  
2. [LinkedIn – Town](https://www.linkedin.com/company/town-com)  
3. [PrivCo – Town.com, Inc.](https://www.privco.com/company/town)  
4. [Tracxn – Town](https://tracxn.com/d/companies/town/__IJxZtewAmsdD7JiOf5kkZuPMNKxlPULw5YtJqhKYrtI)  
5. [Ashby Careers – Business Operations](https://jobs.ashbyhq.com/town/52ff57cf-4e1f-4244-8504-92a52ef0dd9c)

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