---
title: 'Foundations Engineer (Deep Infra) at Rox Data Corp'
canonical: 'https://feeny.ai/job/foundations-engineer-deep-infra-rox-data-corp-san-francisco-ysa29wfmzwhr'
type: 'job'
last_seen: '2026-09-07'
---

# Foundations Engineer (Deep Infra) at Rox Data Corp

- **Company:** Rox Data Corp
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/rox-data-corp/6660cde6-e56d-4dbd-86db-488579b02fa3

## Job description

## ABOUT ROX

Rox is building the AI-native revenue operating system.

Most enterprise software was built for humans operating dashboards. Rox is built for agents operating systems.

Instead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise.

Agents analyze signals, reason about them, and take action — automatically.

To make that possible, we are building infrastructure that combines elements of:

- distributed data platforms
- real-time decision systems
- agent execution frameworks
- low-latency context retrieval

We’re backed by Sequoia, GV, and General Catalyst and building a small team of engineers who want to work on deep technical systems problems with real-world impact.

## ABOUT THE FOUNDATIONS TEAM

The Foundations team builds the core infrastructure behind Rox agents.

We work on the systems responsible for:

- real-time context ingestion
- agent execution and orchestration
- reliability for long-horizon AI tasks
- low-latency decisioning across distributed systems

If you've worked on systems like:

- streaming compute platforms
- distributed query engines
- real-time OLAP systems
- matching engines
- large-scale data infrastructure

many of the problems here will feel familiar — but applied to a new category of software.

At Rox, agents are constantly:

- retrieving context
- making decisions
- triggering actions
- updating state

The Foundations team builds the infrastructure that makes those loops reliable, fast, and observable.

## THE ROLE

We are hiring a Foundations Engineer (Deep Infra) to design and operate the systems that power Rox’s agent runtime.

This role sits at the intersection of:

- distributed systems
- real-time data infrastructure
- agent orchestration
- decisioning systems

You will work on infrastructure similar to what powers large-scale data platforms — but optimized for continuous AI decision loops rather than batch analytics.

Many of the systems we are building resemble components from:

- streaming compute systems
- distributed query engines
- large-scale event processing pipelines
- matching and routing infrastructure

But with a new constraint: AI agents must operate continuously and reliably in production environments.

## WHAT YOU’LL DO

Design and build core distributed systems powering Rox agents.

Build infrastructure for real-time context ingestion and retrieval.

Develop systems that enable low-latency agent decisioning at scale.

Improve reliability, observability, and fault tolerance across agent infrastructure.

Build execution frameworks that support long-running agent workflows.

Collaborate closely with product engineers and forward deployed engineers to translate infrastructure capabilities into customer impact.

Ship production systems quickly and evolve them based on real-world usage.

## WHAT YOU’LL BRING

Experience building deep infrastructure systems in production.

Examples include:

- distributed data platforms
- streaming compute systems
- real-time analytics infrastructure
- distributed query engines
- high-scale backend services

Strong intuition for latency, reliability, and scalability tradeoffs.

Experience operating systems where real-world traffic exposes edge cases quickly.

Comfort debugging complex distributed systems in production.

A bias toward shipping systems, learning from production, and improving them continuously.

## About Rox Data Corp

## Company Overview
- **One-liner**: Rox provides AI-powered sales automation and revenue intelligence agents for Global 2000 enterprises, helping teams generate pipeline, manage deals, and grow revenue autonomously.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Ishan Mukherjee (CEO), Shriram Sridharan (CTO), Diogo Ribeiro (CGO), Christopher Ré (Cofounder, Research)

## Core Business
- **Primary industries**: AI sales software, revenue intelligence, sales engagement, enterprise SaaS
- **Target customers**: B2B enterprise (Global 2000), sales and revenue teams
- **Mission/purpose**: "Secure and grow the world's revenue" – to be the essential AI transformation partner for the world’s leading companies.

## Products & Services
- **Rox Platform**: A unified warehouse-native AI platform combining sales intelligence, engagement, and revenue intelligence. Key capabilities include:
  - **Sales Intelligence**: Prospecting, account research, CRM data cleanup, intent signals.
  - **Sales Engagement**: Multi-channel sequences (email, LinkedIn, cold calls, voicemail) with personalized drafting and autopilot.
  - **Revenue Intelligence**: Deal scoring, pipeline risk analysis, meeting summaries, conversation intelligence.
  - **Agent Workflows**: Autonomous agents for tasks like identifying upsell opportunities, generating call decks, and updating org charts.
  - **Conversation Intelligence**: Capture and analyze sales calls and meetings.
  - **Account Intelligence**: Org chart updates, hiring alerts (e.g., new CRO).
  - **Secure Knowledge Layer**: Governance, permissions, audit logs, and compliance (SOC 2 Type II, ISO 27001, GDPR).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding $50 M (Series A, November 2024, led by General Catalyst with participation from GV, Hong Shan, and others). An additional venture round in March 2026 (undisclosed amount) led by General Catalyst.
- **Notable Investors/Partners**: General Catalyst, GV (Google Ventures), Hong Shan
- **Growth Signals**:
  - Headcount of 95 employees (as of mid-2026) – 291% year-over-year growth
  - Operations in 8 countries (US, India, Netherlands, UK, Sweden, Bangladesh, Philippines, Kosovo)
  - Website monthly visits: ~81,685 (+16% monthly growth)
  - LinkedIn followers: 14,538 (+264.7% yearly growth)
  - Strong talent pipeline from top AI and tech companies (Glean, Scale AI, Apple, Confluent, Ramp, Stanford)

## Competitive Advantages
- **Warehouse-native architecture**: Pre-built AI agents that work directly on a company’s data warehouse, enabling faster deployment and stronger governance.
- **Enterprise-grade security & compliance**: SOC 2 Type II, ISO 27001, GDPR compliance, AES-256 encryption, and strict data usage policies.
- **World-class applied AI team**: Co-founded by Christopher Ré (Stanford professor, known for work on data systems and AI), backed by a research arm (Rox Research) that ships frontier agent work into production.
- **Focus on Global 2000**: Tailored for large, complex organizations with unified identity, permissions, and audit controls.

## Strategic Focus
- **Deploying revenue agents at scale**: Automating the entire sales workflow from pipeline generation through deal management and expansion.
- **Consolidating sales tools**: Replacing point solutions (e.g., separate sales engagement, conversation intelligence, data enrichment) with a single platform.
- **Building a Unified Governance Engine**: Data controls, audit logs, and secure knowledge layers to meet enterprise compliance needs.

## Why Work Here
- **Culture**: "Hardcore builders, owners, and founders" – a high-agency, fast-paced environment focused on shipping and impact.
- **Team**: Strong founding team with deep AI and enterprise experience; 41% technical staff (engineering, product, data). Many hires from top AI companies like Glean, Scale AI, and Confluent.
- **Growth trajectory**: Hyper-growth stage (3x headcount in a year) with substantial funding and backing from top VCs – offers rapid career advancement.
- **Work model**: Primarily office-based in San Francisco (251 Rhode Island St, Suite 205). Hybrid/remote flexibility not explicitly stated but likely in-person heavy given stage.
- **Perks & benefits**: Not detailed publicly, but the company emphasizes ownership, building, and being part of "the best Applied AI team to out-ship the market."

## Sources
1. [rox.com](https://www.rox.com/)
2. [rox.com/company](https://www.rox.com/company)
3. [LinkedIn](https://www.linkedin.com/company/rox-data-corp)
4. [Preqin](https://www.preqin.com/data/profile/asset/rox-data-corp/713665)
5. [Ashby Careers](https://jobs.ashbyhq.com/Rox-Data-Corp)

## Other roles at Rox Data Corp

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- [IT Engineer](https://feeny.ai/job/it-engineer-rox-data-corp-san-francisco-3p07tkyh7r9c) — San Francisco, CA
- [Product Engineer (React)](https://feeny.ai/job/product-engineer-react-rox-data-corp-san-francisco-j02anw2xs80j) — San Francisco, CA
- [Data Scientist (Growth)](https://feeny.ai/job/data-scientist-growth-rox-data-corp-san-francisco-6k9nfh27ya63) — San Francisco, CA
- [Foundations Engineer (Deep Platform)](https://feeny.ai/job/foundations-engineer-deep-platform-rox-data-corp-san-francisco-46ambgetygrs) — San Francisco, CA
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