---
title: 'Founding Applied Research Engineer at Rox Data Corp'
canonical: 'https://feeny.ai/job/founding-applied-research-engineer-rox-data-corp-san-francisco-86n5phapv7y7'
type: 'job'
last_seen: '2026-09-07'
---

# Founding Applied Research Engineer at Rox Data Corp

- **Company:** Rox Data Corp
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-28
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/rox-data-corp/d2078263-f2b1-4efa-a6b1-d9435b231b00

## Job description

## WHY THIS ROLE EXISTS

Foundation models are commoditizing. Defensibility comes from specialized models, proprietary training signals, and evaluation ownership. Every applied AI company we benchmark against like Decagon, Harvey, Sierra, Cursor has already moved. The window to claim frontier applied AI for revenue is closing in the next few months.

Rox is in market. We run agents against enterprise data at scale, every day. We see exactly where research meets production and where the data is dirty, state is changing, and being wrong costs (a lot of) money.

The Applied Research team exists to close that gap permanently.

## WHAT THIS TEAM WORKS ON

Four problems we care about right now:

Cost-efficient inference for Clever Columns. Distill a Rox-trained model from frontier teachers so per-account enrichment runs at 1/20th the cost without quality loss. Ships first. Doesn't require trajectory attribution.

Signal classification across the public knowledge graph. A small, fast classifier that distinguishes genuine buying signals from noise across the news, jobs, and filings corpus we already ingest at scale. Powers Recommended Next Moves and Auto Prospecting. Cleanest data subset.

Personalization grounding and hallucination detection. A reward model that catches fabricated prospect context in Sequences in real time. This is the most underrated production failure mode in outbound AI. Trained on cross-customer consensus edits.

Sequencing policy under sparse, delayed rewards. Offline-to-online RL on multi-touch trajectories with intermediate signals as proxies for terminal outcomes. Long-horizon flagship. Hard. [Depends on trajectory instrumentation in progress with Platform Eng.]

These are not benchmark problems. They have real SLAs and real customers depending on them.

## WHAT YOU'LL DO

- Design and run research programs tied directly to the four above.
- Build evaluation frameworks that measure trajectory quality, not just final output, because most eval infrastructure measures end results and we care about the path.
- Work on agent memory, retrieval, and context systems alongside elite and competitive engineering minds.
- Translate findings into infrastructure with measurable production impact. Help define where Rox Research goes next.

## WHAT WE'RE LOOKING FOR

You have spent real time thinking about how agents fail in practice, not just on benchmarks. You have built evaluation systems and know exactly where standard approaches break down. You can write code well enough to implement your own ideas, run your own experiments, and ship things that make it into production.

You move fast. The environment changes monthly and the team ships continuously.

Particularly relevant: agent evaluation and behavioral benchmarking; retrieval-augmented generation and knowledge graph systems; RL applied to real-world agent behavior; production ML systems (latency, reliability, observability); post-training and model adaptation for production use cases.

A PhD is not required. Strong research instincts and the ability to ship are.

## WHAT SUCCESS LOOKS LIKE

First few weeks: you understand Rox's architecture, where the production problems are, and where the research gaps are. You have opinions and you share them.

First few months: you are running experiments that directly inform how we build. Something you worked on is in production.

Over time: you are defining the research agenda for the most interesting applied AI problem in the enterprise. The systems you build are things no one else has built before, because no one else has the structural data position to build them.

## WHY JOIN NOW

We are at an unusual moment. Large enough to have real scale, real customers, and genuinely interesting research problems. Small enough that you are one of a handful of people shaping what the Applied Research function looks like and what it prioritizes.

The team is extraordinary: IMO, IOI, and ICPC medalists, researchers from DeepMind and OpenAI. The feedback loop is a live enterprise system, not a leaderboard. If that's not more interesting to you than publishing for the sake of publishing, this probably isn't the right fit.

San Francisco, onsite. We relocate exceptional people.

## 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
- [Foundations Engineer (Deep Infra)](https://feeny.ai/job/foundations-engineer-deep-infra-rox-data-corp-san-francisco-ysa29wfmzwhr) — 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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