---
title: 'AI Context & Data Infrastructure Engineer at Town.com, Inc.'
canonical: 'https://feeny.ai/job/ai-context-data-infrastructure-engineer-town-com-inc-san-francisco-9p6p3a7gdxwa'
type: 'job'
last_seen: '2026-09-04'
---

# AI Context & Data Infrastructure Engineer at Town.com, Inc.

- **Company:** Town.com, Inc.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-29
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/town/22bf2150-0373-4c2d-bd44-167843f11f74

## Job description

## ABOUT TOWN

Town (town.com http://town.com) is AI that starts from who you are. We build a persistent model of your identity, your voice, your judgment, your relationships, and your priorities, and use it to do real work on your behalf across every tool where you operate: email, calendar, documents, Slack, and more. Town doesn't wait for you to prompt it. It observes, learns, and acts. The more you use it, the more it becomes an extension of you.

Town was founded by Jean-Denis Greze (CEO), former CTO of Plaid, and Tony Vincent (CPO), former Director of Applied AI Product at Google. We're a small, talent-dense team backed by Andreessen Horowitz, Forerunner Ventures, First Round Capital, and Conviction, with more than $73M raised to date.

## ABOUT THE ROLE

Town is building the most personalized, most capable AI assistant for everyone — and personalization at that level is a retrieval and data problem. The assistant is only as good as the context it can bring into the moment: the right memory, message, document, or relationship, pulled fast and related by meaning across everything a person and their team touch.

You'll build the foundation the whole product reasons over: the search and data infrastructure behind that context. One shared retrieval layer combining lexical and semantic search, the realtime and batch pipelines that keep it fresh and correct, and the durable data model everything else is built on.

This is greenfield and high-leverage: you'll be the first person building this layer.

## WHAT YOU'LL DO

- Build the search and retrieval layer that puts the right context at every Townie's fingertips, the moment it's needed — one shared layer the whole product pulls from instead of refetching context on its own.
- Combine lexical and semantic search and own the tradeoffs between them: vector vs. lexical, precompute vs. fetch, hybrid retrieval, and ranking.
- Design the durable data model the assistant's work is built on, so context is relevant, fast, and cost-effective.
- Build and operate the pipelines behind it — realtime/streaming and batch — that keep the index fresh and correct as the underlying data changes.
- Stand up the indexing and storage layer and keep it fast and reliable at scale: latency, cost, freshness, and completeness.
- Lay the groundwork for relating content by meaning across everything the assistant knows — the start of a knowledge graph of people, companies, projects, and how they connect.

YOU MIGHT THRIVE HERE IF YOU...

- Have significant, hands-on experience across lexical and semantic search components and approaches (BM25, embeddings, ANN/vector indexes, hybrid retrieval, ranking).
- Have run large-scale data infrastructure, ideally both realtime/streaming and batch — pipelines, indexing, and storage.
- Can make retrieval fast and cheap at scale, and reason about the latency, cost, and freshness tradeoffs cold.
- Are a systems thinker comfortable in greenfield, where the foundation doesn't exist yet.
- Are excited to take these systems from rapid prototype to production scale.
- Bonus if you've worked on ranking/relevance, knowledge graphs, or retrieval for LLM or agentic systems.

## LOCATION

San Francisco, CA. Five days a week in person at our Financial District office.

## 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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