---
title: 'Core Engineering at Rox Data Corp'
canonical: 'https://feeny.ai/job/core-engineering-rox-data-corp-san-francisco-s8f5yj2n99nc'
type: 'job'
last_seen: '2026-10-12'
---

# Core Engineering at Rox Data Corp

- **Company:** Rox Data Corp
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-14
- **Last confirmed live:** 2026-10-12
- **Apply:** https://jobs.ashbyhq.com/rox-data-corp/4b784e01-c6e2-4238-a458-0575d839c46e

## Job description

## About Rox

[Rox](https://www.rox.com/?utm_source=chatgpt.com) 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 systems
- real-time decisioning
- agent execution frameworks
- semantic retrieval systems
- low-latency streaming infrastructure
- knowledge graph architectures

We’re backed by Sequoia, GV, and General Catalyst and have grown rapidly from 15 to 75 people while shipping our platform years faster than the market expected. We already support Global 2000 customers across industries including banking, hardware, construction, and sovereign AI. We are building for what enterprise AI systems will require two years from now — not just what exists today.

## About the Core Engineering Team

Core Engineering builds the systems that make autonomous revenue agents reliable at enterprise scale. This team sits at the center of Rox’s long-term technical strategy and owns foundational infrastructure across:

- agent reliability and orchestration
- distributed execution systems
- graph-based retrieval infrastructure
- streaming and real-time context systems
- observability for autonomous workflows
- low-latency data and inference pipelines

The problems here look less like traditional SaaS application engineering and more like:

- real-time OLAP systems
- streaming compute platforms
- distributed databases
- semantic retrieval systems
- deterministic execution infrastructure
- high-scale platform engineering

At Rox, agents continuously:

- retrieve context
- reason across changing state
- trigger actions
- update workflows
- coordinate across systems

Core Engineering builds the infrastructure that makes those loops fast, reliable, observable, and deterministic.

## The Role

We are hiring a Core Engineer to help design and operate the foundational infrastructure behind Rox’s autonomous agent platform. This role is ideal for engineers who have deep systems intuition and want to work on infrastructure problems at the frontier of AI reliability. You might be a fit if you’ve spent time building:

- distributed infrastructure
- streaming systems
- semantic search infrastructure
- graph-based retrieval systems
- execution runtimes
- reliability infrastructure
- low-latency backend platforms

Or if you’ve historically been “the person” inside your company for difficult infrastructure problems. We care deeply about engineering craftsmanship, systems thinking, and people who can reason about long-term architecture under real-world scale constraints.

## What You’ll Do

- Build infrastructure for reliable autonomous agent execution
- Design systems for deterministic, auditable agent behavior at enterprise SLAs
- Develop low-latency retrieval and context systems powering AI workflows
- Build and scale graph-based infrastructure and semantic retrieval systems
- Improve observability, debugging, and reliability across distributed agent systems
- Work on real-time data ingestion and streaming architectures
- Collaborate closely with platform, AI, and product engineering teams
- Help shape the long-term architecture behind Rox’s agent runtime

Problems You’ll Work On

- Reliability for long-horizon AI workflows
- Agent orchestration across distributed systems
- Deterministic execution for autonomous systems
- Streaming context ingestion and retrieval
- Knowledge graph infrastructure
- Real-time state synchronization
- Low-latency execution pipelines
- Enterprise-grade observability for agent systems

Must-Have Qualifications

- Strong background in distributed systems or platform engineering
- Experience building and operating high-scale backend infrastructure
- Strong systems fundamentals across networking, concurrency, storage, and reliability
- Experience with streaming systems, distributed databases, or real-time infrastructure
- Ability to independently design and ship complex technical systems
- Strong product and engineering judgment

Particularly Relevant Backgrounds We’d especially love to speak with engineers who have experience in areas like:

- Apache Flink
- distributed query engines
- real-time OLAP systems
- graph retrieval systems
- semantic search infrastructure
- streaming compute systems
- large-scale platform engineering
- AI infrastructure and orchestration systems

Open source contributors, infrastructure specialists, and engineers who have historically operated as technical force multipliers inside their organizations tend to thrive here.

What Success Looks Like In your first few weeks You understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems. In your first few months You are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance. Over time You help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale.

## Why This Role Exists

Enterprise AI systems are moving toward autonomous execution. The hard problem is not generating outputs — it’s building reliable systems that can reason, retrieve context, coordinate actions, and operate deterministically under real-world enterprise constraints. We believe this requires a new category of infrastructure engineering. That is the problem space this team exists to solve.

Location This role is based onsite in San Francisco. We strongly believe that the speed and complexity of the problems we are solving benefit from in-person collaboration. We actively relocate exceptional engineers from around the world and currently have team members who have moved from Europe, Canada, Asia, and Australia to join Rox. If you want to work on deep infrastructure problems at the frontier of autonomous systems, we’d love to talk.

## Benefits

- Medical, dental, and vision including 100% company-paid plans for you and eligible dependents
- Company-paid life & AD&D, plus short- and long-term disability
- 401(k) with automatic enrollment
- Unlimited PTO, plus paid sick leave, company holidays, and bereavement
- Up to 20 weeks of paid parental leave at 100% pay (birth, adoption, or foster) Wellness stipend: $375/quarter
- Learning stipend: up to $2,000/year
- Internet & cell phone stipend: $25/month
- Mental health support, virtual care, and care navigation
- Fertility & family-building support, plus backup care membership
- Pre-tax commuter benefits (transit & parking)
- SF HQ: daily catered breakfast & lunch, meal allowances, and rideshare support when commuting to the office

## 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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- [Talent Community Lead](https://feeny.ai/job/talent-community-lead-rox-data-corp-san-francisco-d8wcw246cves) — San Francisco, CA
- [Strategic Account Executive (Australia)](https://feeny.ai/job/strategic-account-executive-australia-rox-data-corp-australia-s9q2ka0c4wty) — Australia
- [Strategic Account Executive (London / UK)](https://feeny.ai/job/strategic-account-executive-london-uk-rox-data-corp-london-pzrq40wp8q3c) — London, United Kingdom
- [Director, Central (Austin)](https://feeny.ai/job/director-central-austin-rox-data-corp-austin-fw660t4arq9t) — Austin, TX
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