--- title: 'Foundations Engineer (Deep Platform) at Rox Data Corp' canonical: 'https://feeny.ai/job/foundations-engineer-deep-platform-rox-data-corp-san-francisco-46ambgetygrs' type: 'job' last_seen: '2026-09-07' --- # Foundations Engineer (Deep Platform) at Rox Data Corp - **Company:** Rox Data Corp - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-17 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/rox-data-corp/00c7e27e-20c4-4310-a9de-a05154516c20 ## Job description ## PLATFORM ENGINEER (INFRASTRUCTURE + PLATFORM SYSTEMS) ## 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 - Platform tooling and developer infrastructure We’re backed by Sequoia, GV, and General Catalyst and building a small team of engineers who want to work on hard technical systems problems with real-world impact. ## ABOUT THE FOUNDATIONS TEAM The Foundations team builds the platform and infrastructure powering Rox agents. We own the systems responsible for: - Real-time context ingestion - Agent execution and orchestration - Reliability for long-horizon AI tasks - Developer infrastructure and platform tooling - Observability and operational excellence - Low-latency decisioning across distributed systems If you’ve worked on systems like: - Internal developer platforms - Cloud infrastructure and platform tooling - Streaming compute platforms - Distributed query engines - Real-time data systems - Scalable backend infrastructure many of the problems here will feel familiar — but applied to a new category of AI-native software. At Rox, agents are constantly: - Retrieving context - Making decisions - Triggering actions - Updating state The Foundations team builds the infrastructure and platform capabilities that make those loops reliable, observable, scalable, and easy for product teams to build on. ## THE ROLE We are hiring a Platform Engineer to help design, build, and operate the infrastructure and internal platform behind Rox’s agent runtime. This role sits at the intersection of: - Platform engineering - Cloud infrastructure - Distributed systems - Real-time data infrastructure - Agent orchestration - Developer productivity You will work across both foundational infrastructure and the developer platform experience — helping teams ship quickly while ensuring systems remain reliable, scalable, and observable in production. This is a strong fit for engineers who enjoy owning systems end-to-end: from infrastructure primitives and runtime reliability to deployment workflows, tooling, and operational excellence. ## WHAT YOU’LL DO - Design and build core infrastructure powering Rox agents. - Improve the reliability, scalability, and observability of distributed systems. - Build and maintain cloud infrastructure, deployment systems, and platform tooling. - Develop systems for real-time context ingestion and low-latency retrieval. - Support execution frameworks for long-running agent workflows. - Improve developer experience through automation, tooling, and self-service infrastructure. - Partner closely with product engineers and forward deployed engineers to enable rapid iteration in production environments. - Help establish engineering standards around monitoring, incident response, performance, and operational maturity. - Ship production systems quickly and evolve them based on real-world usage. ## WHAT YOU’LL BRING - Experience building and operating production infrastructure and backend systems. - Strong experience in cloud infrastructure, platform engineering, or distributed backend systems. - Familiarity with areas such as: - Kubernetes and container orchestration - Cloud infrastructure (AWS/GCP) - CI/CD and developer platforms - Distributed systems and event-driven architectures - Observability and reliability engineering - Real-time data or streaming systems - Strong intuition for reliability, scalability, latency, and operational tradeoffs. - Comfort debugging production systems and solving problems across infrastructure and application layers. - A bias toward shipping, learning from production, and continuously improving systems. - Ability to work across both platform and infrastructure domains depending on company priorities. ## WHY THIS ROLE Rox is building a new category of software where AI agents continuously reason, decide, and act in production environments. That requires infrastructure and platform systems that look different from traditional SaaS architectures. You’ll help build the foundation that enables engineers — and eventually agents themselves — to operate reliably at scale. ## 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 - [Equity Compensation and Payroll Lead](https://feeny.ai/job/equity-compensation-and-payroll-lead-rox-data-corp-san-francisco-wwza6v7ka0hm) — San Francisco, CA - [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 - [Revenue Enablement Lead](https://feeny.ai/job/revenue-enablement-lead-rox-data-corp-san-francisco-5qtd7f9qn905) — San Francisco, CA - [Customer Success Leader](https://feeny.ai/job/customer-success-leader-rox-data-corp-san-francisco-fvjwkf7rzpv1) — San Francisco, CA - [Founding Applied Research Engineer](https://feeny.ai/job/founding-applied-research-engineer-rox-data-corp-san-francisco-86n5phapv7y7) — San Francisco, CA - [Core Engineering](https://feeny.ai/job/core-engineering-rox-data-corp-san-francisco-s8f5yj2n99nc) — San Francisco, CA - [Growth Strategist](https://feeny.ai/job/growth-strategist-rox-data-corp-san-francisco-0rhgm5nzc2xg) — San Francisco, CA